<figure><img alt="Infographic_Key takeaways from the Pitney Bowes Shipping Index 2023." src="https://cdn-images-1.medium.com/max/1024/1*7zHdO2d1-Yxzba-wZxmbPQ.png" /></figure>The latest Pitney Bowes Parcel Shipping Index is out. Some key takeaways and thoughts on the evolving US parcel landscape from a European perspective.The index is a great way to compare all the major players and see how the smaller carriers are faring. The data clearly illustrates how the parcel delivery industry is changing. As traditional carriers experience volume declines, it is clear that adaptability and innovation are essential to staying competitive. Amazon surpassing UPS in parcel volume underscores the growing importance of technology-enabled supply chain optimization.<h4>Key takeaways from Pitney Bowes Index 2023:</h4><ul><li>Despite a 0,5% increase in parcel volume, U.S. parcel revenue has declined for the first time in 7 years.</li><li>Parcel volumes are higher than anyone predicted before the pandemic.</li><li>Market leaders UPS, FedEx and USPS lost volume, while Amazon Logistics and others gained. FedEx and UPS also experienced revenue declines.</li><li>For the first time, Amazon Logistics surpassed UPS in annual package volume.</li><li>Smaller carriers increased their share of the package volume market from 2% to nearly 3%.</li></ul>Despite inflation and economic challenges, the U.S. parcel market is resilient. Logistics market experts at Pitney Bowes expect parcel volume and revenue to grow in the future, although growth in the number of packages shipped will level off slightly.<figure><img alt="Pitney Bowes Shipping Index 2023_Parcel Volume Growth Forcast." src="https://cdn-images-1.medium.com/max/1024/1*RkBKUl9Rh9q9BpQHAsRZoA.png" /><figcaption>Pitney Bowes Shipping Index 2023: <a href="https://www.pitneybowes.com/us/shipping-index.html">https://www.pitneybowes.com/us/shipping-index.html</a></figcaption></figure><h4>Carrier Diversification, the End of a Trend?</h4>Interest in last mile alternatives to UPS and FedEx was clearly on the rise in 2023. Amazon made waves with its ground shipping service. And smaller carriers increased their market share by 0.7%. Shippers have been diversifying their parcel carrier mix, forcing the delivery giants to lower their rates. Will they continue to do so in 2024?Given that volume growth has outpaced revenue growth, this could also mean that per-package rates will rise again. Shippers need to prepare for <a href="https://www.supplychaindive.com/news/fedex-ups-ground-parcel-delivery-costs-cowen-afs-index/713446/">rising ground delivery costs</a> as FedEx and UPS become more hesitant to offer discounts and start implementing new surcharges.Meanwhile, <a href="https://www.supplychaindive.com/trendline/last-mile-delivery/352/">carrier diversification has diminished by the end of 2023</a>, with the number of carriers per enterprise account dropping to less than 6. Smaller carriers will need to approach expansion more cautiously, focusing on maintaining high service levels. According to Steven Bergan, president of GLS US, <a href="https://www.supplychaindive.com/trendline/last-mile-delivery/352/#story-1">smaller carriers may focus more on specialty shipping services</a> and expand when shippers are ready to broaden their carrier mix again.These are all signs that UPS and FedEx might be able to regain some of their market share.<h4>Amazon Pushing the Market</h4>With its own supply chain, Amazon has a clear competitive advantage. Through its efficient logistics network, innovative technology, and customer-centric approach, it’s able to deliver quickly and reliably.Of course, it’s impossible for regional carriers to keep up with Amazon’s innovations; they have the financial power to conduct their scientific research through institutions like the Robotics Lab or the Supply Chain Optimization Technologies (SCOT) department. Smaller players in the market will have to decide which aspects of their logistics process to focus on to drive change. For logistics managers who are busy meeting their SLAs, it’s hard to think beyond next year.What issues should they focus on to keep up with the trends and make their business successful in 5 or 10 years? The <a href="https://bettermile.com/lp/5-levels-of-delivery-orchestration">5 Levels of Delivery Orchestration</a> Blueprint provides a good starting point to guide delivery companies through the transition to the future of last-mile delivery.<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*rZVWgP9WTfVRihvctorcdQ.png" /><figcaption><a href="https://bettermile.com/lp/5-levels-of-delivery-orchestration">5 Levels of Delivery Orchestration: https://bettermile.com/lp/5-levels-of-delivery-orchestration</a></figcaption></figure><h4>What does this mean from a European perspective?</h4>European carriers are naturally watching Amazon with an eagle eye, as competition is just as fierce on both sides of the pond. The big network carriers cannot sit back and relax. They have to be careful not to end up as subcontractors to the market-share-expanding tech giant. So it may be wise to lower the level of suspicion between logistics companies and keep in regular contact to explore partnerships where appropriate.Alliances have proven successful in the past, such as the Star Alliance between airlines like United, Lufthansa, and Singapore Airlines. By partnering, these companies have been able to survive in a highly competitive and costly business segment.It’s already happening in the United States. To fuel growth, regional carriers have begun collaborating. <a href="https://www.supplychaindive.com/news/better-trucks-expands-texas-markets-gls-partnership/692311/">GLS US and Better Trucks have formed a partnership</a> that allows customers of each company to use the other’s delivery network. GLS primarily serves the western U.S., while Better Trucks operates in several regions, including the Midwest and much of Texas.Strategic alliances can be an effective way for competitors to address challenges that are too large or complex to tackle alone. Overall, the package delivery industry remains as dynamic as ever, and agility will be the key to survival.To access the full report, <a href="https://www.pitneybowes.com/us/shipping-index.html">visit the Pitney Bowes Shipping Index page</a>.<img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=adc3491133ad" width="1" height="1" alt="">

Summary of the 2023 Pitney Bowes Parcel Shipping Index

<figure><img alt="The ultimate guide to real-time tracking in last mile delivery" src="https://cdn-images-1.medium.com/max/1024/1*GVg5DdvXaA-TfRHSkE_JLw.jpeg" /></figure>Real-time tracking technology (RTT) is becoming a game-changer in parcel delivery, much like the way Uber transformed rides with live maps and spot-on ETA predictions. Delivery companies are now upping their game, leveraging real-time data to drive productivity and enhance customer experiences. By implementing sophisticated tracking solutions, these companies not only gain a competitive edge but also offer substantial added value to both shippers and end-customers.It’s about making live parcel tracking fun, engaging, and above all, adding accurate delivery time estimates. Let’s dive into what last mile delivery tracking can achieve and the various forms of real-time tracking available.<h4>What is Last Mile Delivery Tracking?</h4>Various technologies provide real-time supply chain visibility, keeping all stakeholders informed about the whereabouts of their goods, which enhances the delivery process and customer satisfaction. Last mile delivery tracking specifically monitors a parcel’s journey from the last transportation hub to its final destination. This real time tracking offers visibility into the parcel’s progress for carriers, shippers, and end-customers alike. Essentially, <a href="https://bettermile.com/tracking">last mile tracking software</a> ensures a transparent and efficient final stretch of the delivery journey.<h4>Key Components of Real-Time Tracking Systems for Package Delivery</h4>Shipment tracking solutions vary widely in their transparency, scope, and precision. They range from basic status updates upon scan events on the delivery day to advanced live map tracking services where customers can request updates at any moment. Some systems integrate historical data with real-time information to offer dynamic delivery time predictions. The effectiveness of these tracking systems depends on three essential components:<ol><li>Hardware: This includes the various devices used for tracking, such as GPS devices, handheld scanners, and RFID tags. Most solutions rely heavily on these physical tools to gather data on the parcel’s location and status.</li><li>Software: These are the platforms and applications that interpret and display the tracking data. Software plays a crucial role in how information is presented to carriers, shippers, and customers, influencing the overall user experience.</li><li>Data Analytics: This involves the collection, analysis, and utilization of data. Effective data analytics can enhance the predictive capabilities of a tracking system, making it more robust and responsive to changes.</li></ol>For instance, UPS tracking utilizes a device known as the Delivery Information Acquisition Device (DIAD), which records the GPS location each time a UPS driver scans a parcel, marking it as delivered or picked up. Similarly, FedEx order tracking employs scans throughout its network to update package statuses in real-time in the courier tracking system, resulting in updates like “Your package is out for delivery” or “Your scheduled delivery is now pending.” While these systems provide real-time status updates, they vary in their ability to predict exact delivery times, with some relying more on robust hardware and others on sophisticated data and software components.<h4>Harnessing Artificial Intelligence for Enhanced Delivery Tracking</h4>The evolution of real-time tracking is significantly influenced by advancements in artificial intelligence (AI) and machine learning (ML). These technologies offer innovative solutions that go beyond traditional GPS-based systems. Instead, AI-enhanced systems provide flexibility and adaptability in tracking without being solely dependent on driver device usage.Traditional methods, such as GPS tracking combined with static route optimization, can provide basic delivery time estimates. However, these systems struggle with flexibility; any unexpected deviation by the driver, like an unscheduled pickup, can quickly make earlier estimated times of arrival (ETAs) outdated.<h4>Real Time Tracking and Route Optimization</h4>To achieve the highest level of precision and efficiency, it is beneficial to integrate real-time tracking with <a href="https://bettermile.com/route">dynamic route optimization</a>. This type of system not only <a href="https://blog.bettermile.com/why-is-dynamic-sequencing-important-for-last-mile-delivery-7a88e8b7d7b9">plans the most efficient stops</a> but also continuously updates and recalibrates based on real-time conditions and unexpected events. This approach significantly enhances precision and operational productivity.One of the key benefits of this AI-driven approach is the ability to offer dynamic ETAs. These delivery time predictions are adjusted in real-time as the driver progresses along the route, allowing both the recipients to plan for potential delays. Furthermore, as the delivery window nears, these predictions become increasingly precise, narrowing down the expected arrival times and improving overall accuracy.Find out <a href="https://blog.bettermile.com/real-time-tracking-showdown-amazon-vs-bettermile-who-has-better-rtt-c3119362c7c1">how Amazon live tracking handles delivery time predictions</a> and whether <a href="https://blog.bettermile.com/live-tracking-showdown-2-dhl-vs-bettermile-900a106ebfbb">DHL provides dynamic ETAs</a>.<h4>Smart ETA Predictions</h4>Bettermile also offers intelligent ETA predictions that do not require connection to a driver application or GPS-based route optimization. Instead, by integrating historical route data with real-life data, a sophisticated tracking algorithm can forecast delivery times within a one-hour window. This innovative approach simplifies the implementation process, as it demands no changes to existing operations. Real-time updates ensure that customers are kept well-informed, reducing uncertainty and improving the overall delivery experience.<figure><img alt="Table comparing last mile delivery tracking solutions." src="https://cdn-images-1.medium.com/max/1024/1*C7kueGVJsH_iREXxC5MZQg.png" /></figure><h4>Benefits of Real-Time Tracking</h4>Real-time tracking in final mile delivery offers numerous advantages to all stakeholders involved.<h4>Parcel, courier and express service providers</h4><ul><li>Enhanced productivity: A <a href="https://bettermile.com/case-studies/gls-canada-case">delivery company can harness its real-time data</a> to continuously enhance delivery performance and achieve operational excellence. By identifying bottlenecks more swiftly, they can streamline their processes effectively. Additionally, establishing direct communication with recipients allows them to gather valuable feedback and proactively update end-customers about their order status, further improving service quality and customer satisfaction.</li><li>Increased First attempt delivery rate (FADR): The ability for customers to better plan their deliveries significantly increases the likelihood that they will be home when their shipments arrive. This is particularly advantageous for carriers specializing in the delivery of items like alcoholic beverages, tobacco, or pharmaceuticals, leading to fewer failed deliveries and a marked increase in successful FADR.</li><li>Reduced Customer Service Queries: Real-time tracking also significantly reduces the workload in customer service departments. Delivery companies have <a href="https://bettermile.com/case-studies/gls-netherlands-case">reported up to a 20% reduction in service requests</a>. Moreover, when customers inquire, “Where is my order?” (WISMO), service personnel can quickly access dashboards that offer precise package locations, reliable delivery time predictions, and comprehensive data related to the shipment label, streamlining response times and improving customer support.</li></ul><h4>Shippers</h4><ul><li>Empowered Shippers: Access to detailed tracking data allows shippers to significantly reduce the workload on their customer service teams. Additionally, the track & trace page where end-customers input their tracking number doubles as an effective branding tool. With customizable features and gamification, this page boosts customer interaction at the crucial final touchpoint of their journey. For instance, in our <a href="https://bettermile.com/tracking">tracking solution, Better Tracking</a>, users click an average of 13 times on the day of delivery to monitor their shipment’s progress. <a href="https://bettermile.com/case-studies/bvb-case-study">Read the case study of football club Borussia Dortmund (BVB).</a></li><li>Loyalty and Brand Trust: Positive shipping experiences correlate with higher <a href="https://blog.bettermile.com/how-last-mile-carriers-can-build-trust-and-loyalty-32876c71aa56">customer loyalty</a> and improved satisfaction scores on platforms like Trustpilot or Net Promoter Score (NPS).</li></ul><h4>Customers</h4><ul><li>Improved Delivery Experience: Overall, consumers benefit from an enhanced delivery experience, experiencing less frustration and more trust in the timely arrival of their orders. They also feel empowered by the ability to rate their delivery experience, further enriching their satisfaction.</li></ul>According to research by McKinsey & Company, <a href="https://www.mckinsey.com/tr/our-insights/prediction-the-future-of-customer-experience">businesses that focus on outstanding customer experiences see significantly higher revenue growth</a> — up to 2.4 times compared to competitors who do not prioritize customer experience. So from a business perspective, it surely makes sense to invest in real-time tracking.<h4>Looking into the Future: Flexibility and Rerouting Options</h4>Dynamic ETAs bring a new level of operational flexibility to final-mile delivery, allowing for last-minute rerouting with to-the-minute precision. This enables options like redirecting packages to alternative drop-off points such as parcel lockers, in-store pickups, or even deliveries to neighbors, seamlessly integrated into the delivery route.This added flexibility not only enhances customer satisfaction but also opens up avenues for growth. Consumers today expect quick, efficient, and personalized service and are often willing to pay a premium for it. In fact, <a href="https://www.forbes.com/sites/shephyken/2022/04/24/fifty-eight-percent-of-customers-will-pay-more-for-better-customer-service/">up to 62% of shoppers are willing to spend more for a superior customer experience</a>. Carriers can capitalize on this by offering premium services, such as selectable time frames or customized delivery locations, thereby adding value and generating additional revenue.<h4>Challenges in Real-Time Tracking</h4>Implementing a real-time tracking solution comes with varying degrees of effort and cost, primarily dependent on the level of integration required with existing systems. For instance, integrating an ETA prediction model typically involves establishing a technical connection along with ensuring a consistent and accurate data feed. However, creating a more engaging real-time tracking experience, complete with live-view dashboards and driver-specific performance metrics, requires linking to a routing engine. This engine must dynamically navigate drivers throughout their delivery routes.Rolling out a new delivery route planning solution in final-mile operations not only demands effective change management but also introduces significant flexibility into the delivery process. This flexibility is essential for meeting the evolving demands of the market.<h4>Implementing Real-Time Tracking</h4>Implementing a package tracking solution offers various options, from white-label frontends to widgets and APIs, allowing customization to fit your business needs. It’s crucial to select technology partners and platforms that align with your business logic and integrate smoothly with your existing logistics and IT infrastructure.<h4>Enhancing Logistics with Real-Time Package Tracking</h4>As we’ve explored, the benefits of last mile delivery tracking are extensive and impact various aspects of package logistics operations. This advanced tracking not only enhances key processes but also influences different performance metrics essential for evaluating the return on investment (ROI). These metrics range from customer satisfaction and route effectiveness to on-time delivery rates. By implementing real-time tracking, businesses can achieve significant improvements in productivity and customer experience. Ultimately, embracing these innovations in last mile delivery tracking prepares companies for future challenges and opportunities in the logistics sector, ensuring they remain competitive and responsive to customer needs.Discover the actionable steps delivery service providers can take to fully <a href="https://bettermile.com/lp/5-levels-of-delivery-orchestration">orchestrate last mile operations and prepare for the future of the parcel market</a>.<img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=417b90f4112a" width="1" height="1" alt="">

The Ultimate Guide to Last Mile Delivery Tracking

<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*0rV5s-QG3fJ3JiMGtEOM2g.jpeg" /></figure>We spoke to Bahadir Akcay and Esra Gücükbel, Data Analysts at Bettermile, about Cloud Tracking — our newest ETA prediction model.The challenge: At Bettermile, we set ourselves the challenge of creating an AI model that can accurately predict delivery windows without the use of GPS tracking. There are several use cases for this. Not all delivery drivers use a device to guide them on their routes. Experienced drivers know their routes by heart, and in some countries they have a special relationship with the recipients. A phone call is enough to let them know when their package will arrive. However, delivery companies want to formalize these processes and standardize customer service across the board. Bettermile was looking for a solution to meet these operational realities and find a way to provide ETA predictions for these “offline tours”. Our data analysts played a key role in developing an innovative AI solution.<h4>Meet Bahadir and Esra</h4>Bahadir works as a Data Analyst in the Data Solutions team. His main focus is to create a delivery time prediction model that works independently from GPS data. He is responsible for improving AI models, designing analytical frameworks to extract knowledge to support decision making through analysis, monitoring and reporting. His work is characterized by applying knowledge of data manipulation, statistical analysis and machine learning to our products.Esra applies her data analytics expertise to perfection Bettermile’s real-time parcel tracking solution, Better Tracking. She applies wrangling techniques to obtain refined data for analysis and visualization, designs dashboards to share insights, and analyzes data using diagnostic and descriptive methods. Her responsibilities include monitoring data quality, reporting to stakeholders, helping teams build data pipelines, and automating tasks that require human data processing.<iframe src="https://cdn.embedly.com/widgets/media.html?src=https%3A%2F%2Fwww.youtube.com%2Fembed%2FltbFaQCLq1I%3Ffeature%3Doembed&display_name=YouTube&url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DltbFaQCLq1I&image=https%3A%2F%2Fi.ytimg.com%2Fvi%2FltbFaQCLq1I%2Fhqdefault.jpg&key=a19fcc184b9711e1b4764040d3dc5c07&type=text%2Fhtml&schema=youtube" width="854" height="480" frameborder="0" scrolling="no"><a href="https://medium.com/media/389cf20aa7344d3a442e6a76ffbac27d/href">https://medium.com/media/389cf20aa7344d3a442e6a76ffbac27d/href</a></iframe>For offline tours, we already know the parcel order list that is loaded into the van and we get the parcel information saved on the label. Plus, we also have the planned fixed sequence the driver is intending to deliver. However, with these offline tours we don’t have access to ETAs, vehicle position and live updates. So what do we do? We use an AI sequence prediction and AI ETA prediction model. So even though that delivery driver is completely without digital help (usually driving with pen and paper) we can still provide consignees a live tracking experience.<h4>What is cloud tracking and how does it work?</h4>Cloud tracking is a sophisticated parcel tracking solution that uses AI technology to predict Estimated Time of Arrival (ETA) windows, all without relying on digital driver assistance. This is achieved through the analysis of one week’s worth of regional delivery data. AI models are meticulously trained to generate both upper and lower bounds of ETAs for parcels in real-time.This innovative system operates on the principle of balancing prediction accuracy with the length of the time window. Utilizing automated techniques, the prediction model optimizes each delivery route by adjusting time windows based on historical performance data. The aim is to provide highly accurate ETA windows by providing consignees with narrowing time windows, ensuring efficient and reliable delivery tracking.For example, if you put yourself in the shoes of a consignee receiving a package, you will be sent an estimated time delivery between 1–2 hours. However, throughout the day, our ETA prediction model can narrow this delivery window down to as little as 30 minutes. Depending on the country and type of parcel.<h4>Why is it unique compared to other ETA prediction models?</h4>The algorithm does not require GPS data collected by a routing software. Our AI model only requires a few delivery scan updates of packages on each route to enable the services and provide a tracking experience. In addition, cloud tracking is a dynamic tracking solution. The time windows are updated throughout the delivery day and get narrower closer to the delivery of the package.<h4>How does it help with Customer Experience and productivity?</h4>Even in the absence of driver apps, the prediction model allows consignees to track their packages and plan their day accordingly. This gives consignees the flexibility they want and the transparency of accurate delivery information.<h4>Is it really cutting edge?</h4>Utilizing state-of-the-art AI models to predict ETA windows with fully automated route assignment systems, our ETA prediction model is undoubtedly cutting-edge.<h4>What are the potential future developments and advancements in real-time tracking technology for parcel delivery?</h4>Delivery time predictions and stop sequence optimization go hand in hand. We will continue to see more refined AI models which provide even more accurate and narrow delivery windows and better route predictions. These advanced ETA prediction models can be applied to a vast number of use cases and even in different industries.<img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=007ddbd4df9b" width="1" height="1" alt="">

Inside Bettermile’s ETA prediction model: An Interview with Data Analysts

<figure><img alt="Technology adoption. Analyzing Driver App Usage." src="https://cdn-images-1.medium.com/max/1024/1*QtY_fZtqCkYxgDMMNEXiiA.jpeg" /></figure>When it comes to transformation initiatives, one thing’s for sure: technology adoption is the glue holding it all together. You can whip up the fanciest tools imaginable, but if workers aren’t keen on using them, it’s like trying to start a car with no keys. That’s why analyzing usage metrics is so important in product development. Without effective product adoption, companies risk low engagement, unhappy customers, and a one-way ticket to market flop.So, what’s the trick to getting users on board with new tech? Well, let’s take a look at Bettermile’s driver app. It’s a little case study that’ll show us just how crucial it is to nail down that product adoption strategy.<h4>Logistics Transformation</h4>In the parcel logistics transformation process, last-mile delivery is crucial. Initially slow to take off, tech adoption has become imperative for meeting customer demands. Delivery companies now prioritize digital integration to keep pace with market changes, drive efficiency, and improve the customer experience. So our clients need to monitor the usage of digital solutions like the Bettermile app.<h4>What does a Driver App do?</h4>Our <a href="https://bettermile.com/route">driver app for last-mile delivery</a> serves as a crucial tool in orchestrating efficient and effective deliveries. It engages and guides drivers with features like navigation, route optimization, and loading support, enabling them to work efficiently and safely while reducing costs and improving service quality. Acting as a vital link between drivers and recipients, the app facilitates seamless communication and provides valuable location information. Moreover, it collects data for analytics, empowering delivery companies to make informed decisions and optimize operations. As a result, the driver app is a key element of last-mile orchestration and plays a pivotal role in the delivery logistics transformation process.<h4>Why Would Drivers be Skeptical of Using an App for Deliveries?</h4>Drivers may exhibit skepticism towards using an app on their delivery route for various reasons. From our experience, it’s not necessarily due to a lack of familiarity or discomfort with technology. Many drivers use tools to facilitate their delivery work, even if it’s not provided by the company they work with. There are often other reasons at hand:<ol><li>Skepticism Among Experienced Drivers: Seasoned drivers may fear being replaced by technology or doubt whether their years of experience can be adequately translated into a digital tool. A solid change management strategy involving training and ongoing support is key here. <a href="https://bettermile.com/case-studies/gls-netherlands-case">Read GLS Canada’s Case Study to see how they approached the topic of change management.</a></li><li>Poorly Designed Product: A badly designed app can cause frustration among drivers, highlighting the importance of providing a good UX and distinct features that offer specific value to the user.</li><li>Reliability and Performance: Any perceived issues with the app’s reliability, such as frequent crashes or slow performance, could contribute to skepticism among drivers. It’s therefore important to monitor the health status of your data and respond swiftly when problems occur.</li><li>Concerns About Tracking: Some drivers may be concerned about being monitored and controlled by the app, making them reluctant to use it in their daily routine. That’s why it’s important to have strong privacy and security measures in place and to comply with regulations in each country where the product is deployed.</li></ol>It’s important to note, as emphasized by <a href="https://www.mckinsey.com/featured-insights/future-of-work/skill-shift-automation-and-the-future-of-the-workforce">McKinsey</a>, that companies have to ensure that the interaction between humans and machines becomes as natural as possible to improve digital skills and digital adoption rates. By considering these additional factors and addressing them proactively, companies can better understand and mitigate drivers’ skepticism toward adopting a new software solution.<h4>Key Components of a Successful Product Adoption Strategy</h4>You may ask yourself how to best drive digital adoption. A successful product adoption strategy hinges on several key components that prioritize understanding users’ needs and optimizing their experience. Here are some essential elements:<ol><li>Tracking Key Adoption Metrics: It’s crucial to track key metrics to understand user behavior and identify areas for optimization. By gaining insights into user interactions, companies can tailor their strategies to enhance adoption rates effectively.</li><li>User Adoption Dashboard: Implementing a user adoption dashboard provides a centralized platform for monitoring adoption progress and identifying any bottlenecks or areas requiring attention. This tool allows for real-time visibility into user engagement metrics and facilitates data-driven decision-making.</li><li>Creating Lighthouse Features: <a href="https://blog.bettermile.com/7-delivery-route-optimization-features-drivers-love-0d93aab05414">Develop standout features that address users’ pain points and provide significant value.</a> Continuously gather feedback and analyze user behavior to refine these features, ensuring they remain relevant and valuable over time.</li><li>Implementing Gamification: Gamification techniques can incentivize user engagement and foster a sense of accomplishment. By integrating game-like elements such as challenges, rewards, and leaderboards, companies can motivate users to actively participate and explore the product.</li><li>Onboarding Flows & Training: <a href="https://blog.bettermile.com/how-to-reduce-driver-onboarding-time-by-up-to-75-and-increase-your-companys-efficiency-5fd5fad4cc66">Simplify the onboarding process</a> with intuitive, easy-to-follow instructions and support channels such as live chat, email, or dedicated support teams. Additionally, establish train-the-trainer programs to empower users with the knowledge and skills needed to fully utilize the product’s capabilities.</li></ol><figure><img alt="Road split with sign suggesting to follow or ignore the app sequence." src="https://cdn-images-1.medium.com/max/1024/1*4ByHjQwvhTrAYiaatebmkA.png" /></figure><h4>Introducing the Sequence Fidelity KPI</h4>At Bettermile, we monitor adoption metrics to gauge the effectiveness of our driver app. On the one hand, we keep track of the duration the app runs in the foreground on a delivery day. Second, we measure the extent to which drivers adhere to the suggested delivery sequence throughout the route — a metric termed as “sequence fidelity.” This key performance indicator serves as a gauge of whether the product aligns with its intended usage, offering insights into user behavior and app utilization patterns.<figure><img alt="Bettermile Dashboards: Usage and Analysis" src="https://cdn-images-1.medium.com/max/1024/1*eY8szr0O4Be7zmpyceUkMQ.png" /><figcaption>Depots have access to comprehensive dashboards in the Backoffice of the driver app. They can analyze usage and monitor the sequence fidelity of drivers in real time.</figcaption></figure>The sequence fidelity KPI simply tracks how often a driver sticks to the suggested delivery order. It’s expressed as a percentage, ranging from 0 to 100, indicating how closely the driver follows the recommended sequence at each stop along the route.The sequence fidelity metric can also serve as a trigger for in-app communication with drivers, to provide real-time guidance and actionable suggestions. If the sequence fidelity score is low because the driver chose to target different areas first, the app might suggest triggering a delivery stop sequence re-calculation. <a href="https://blog.bettermile.com/why-is-dynamic-sequencing-important-for-last-mile-delivery-7a88e8b7d7b9">Find out more about the advantages of dynamic sequence optimization</a>.By leveraging the sequence fidelity KPI, Bettermile and its partners can optimize operational workflows, improve user experiences, and drive overall delivery performance on the final mile.<h4>Why should drivers follow the sequence?</h4>We understand that expecting drivers to adhere to the app’s sequence blindly isn’t practical. A 100% sequence fidelity score would indicate rigid adherence, possibly overlooking real-world factors. Our data reveals that drivers with a 50 to 80% sequence fidelity strike the best balance, they are usually the most productive. Moreover, they achieve the highest tracking score, enabling our <a href="https://blog.bettermile.com/how-machine-learning-helps-predict-an-accurate-eta-2380beb31879">ETA prediction model</a> to communicate precise delivery windows to recipients, thus enhancing overall customer satisfaction.<figure><img alt="Sequence Fidelity Compared with ETA/ATA Deviation" src="https://cdn-images-1.medium.com/max/1024/1*-eN4fmaKIZghRbWPMd84kQ.png" /><figcaption>The difference between estimated time of arrival (ETA) and the actual time of arrival (ATA) decreases as the sequence fidelity score increases. This means that the better a courier follows the optimized route sequence, the more accurate the delivery time predictions will be.</figcaption></figure>The real-time dashboards in the Backoffice of the app display the Sequence Fidelity KPI, empowering route supervisors to analyze why drivers make different decisions from the app’s suggestions. This enables immediate insights into divergent decision-making or instances where a driver falls behind in route progress compared to peers, facilitating targeted improvements.Furthermore, these metrics allow for comparisons between optimized and driven routes. Delivery organizations can actively leverage this data to compare sequence fidelity scores across depots or regions, identifying areas where additional training may be necessary to ensure proficient app usage.The Backoffice provides a comprehensive platform to <a href="https://blog.bettermile.com/how-to-measure-delivery-performance-and-make-last-mile-delivery-more-efficient-bb746106c3da">keep track of delivery KPIs and analyze route performance</a>.<h4>The Impact of Digital Adoption on Logistics Transformation</h4>In conclusion, tracking digital adoption metrics is crucial as it lays the groundwork for successful transformation initiatives. The key to winning over users lies in creating tangible value for them, ensuring they grasp both the functionality and benefits of the product.Our driver app example illustrates why nailing down a robust product adoption strategy is essential. While drivers need to maintain some flexibility in their routes, there’s a critical balance where adhering to the app’s suggestions significantly boosts productivity. Seamless orchestration between driver, recipient, and depot can only occur when drivers effectively use the app and follow its route recommendations. This optimization of workflows ultimately enhances customer experiences and drives overall delivery performance on the final mile.Hence, companies must actively monitor technology adoption rates and craft sound digital adoption strategies to maximize their transformational efforts.Visit our website to explore the lighthouse features of Bettermile’s <a href="https://bettermile.com/route">driver app</a>.<img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=b37e94387c6f" width="1" height="1" alt="">

Technology Adoption: Analyzing Driver App Usage

<figure><img alt="On the road with Bettermile" src="https://cdn-images-1.medium.com/max/1024/1*e5yvFq6AiqTMmqXhaw-PtQ.png" /></figure>Join Holly Frick, Digital Marketing Intern at Bettermile, on her recent ride-along with GLS in Berlin. Where she gained valuable insights into the intricate operations of package delivery and the role the Bettermile app plays in optimizing the driver’s journey.A few weeks ago, I was given the opportunity to participate in a ‘ride-along’ with a GLS delivery driver in Berlin. This is an activity required by all employees at Bettermile at least once a year. The purpose of the ride-along is to get a firsthand look at the inside of a depot and a real-world test of our company’s app. So, for 1 day I switched hats from a digital marketing intern to a delivery driver, and now, I am excited to share with you the insights I gained from this experience.<h4>Behind the scenes of a delivery depot</h4>The day started bright and early, with myself and two other employees meeting at 7 am to begin our journey to the depot. Stepping inside, we were greeted with tea and coffee and then taken on a tour of the worksite. The scale of the operation was impressive, with hundreds of delivery drivers sorting through mountains of packages, each destined for its own journey across the city. Watching the intricate dance of conveyor belts ferrying parcels, and the exchange of packages between drivers was fascinating.After the sorting phase was complete, it was time for the drivers to start packing their vans. This part was similar to a real-life Tetris game, with some drivers showcasing remarkable precision to ensure no package was left behind.I was paired with someone they called ‘The Boss’ — Misha, a team coordinator who normally manages packages from the depot, however, today he was back in the van. With eight years of experience under his belt, I was confident we would have a successful day of deliveries. He enjoyed my “Australian English” apparently, at school he had to learn this as a part of his English course… so this was his first opportunity to test it out after 15 years. He did a great impression of Crocodile Dundee!After the initial introduction phase, we jumped in the van at around 9 am and started the journey into Berlin. We had 70 packages to deliver, which according to ‘The Boss’ was a pretty small delivery day — a win for him!<figure><img alt="Collage of images from the day" src="https://cdn-images-1.medium.com/max/1024/1*CbYlGhxFd-2oQCE6kjOMKA.png" /><figcaption>A collage of images from the day</figcaption></figure><h4>The route into Berlin</h4>In the van, he gave me a Zebra device, which is the hardware company Bettermile is partnered with that has our app embedded. This was very useful, as I was able to follow the delivery route and help give directions where needed. The route started with 67 waypoints and an estimated finish time of 14:34. One of Misha’s favorite aspects about the app was “seeing the waypoints disappear after each stop,” this meant his route was getting shorter and he was closer to being finished.With his 8 years of experience, Misha showcased a wealth of expertise in delivery software, having tested several over the years. When I inquired about his thoughts on the Bettermile app, he rated it a solid 7.5/10. Considering him a tough critic I deemed this a win for us! He gave our app a much higher rating than the Hermes app, highlighting our re-routing ability as a standout feature. He also mentioned the immense challenge of creating a delivery app tailored for big cities, with their ever-changing traffic conditions, road blockages, and limited parking. So, Bettermile proved to be his top contender.<h4>Exploring the Bettermile app features</h4>After delivering the first few packages, I quickly got the hang of the delivery process: drive, park, locate package, deliver — rinse and repeat. However, there were moments of challenge, like when a waypoint led us to the wrong building entrance. This was when Misha used the <a href="https://blog.bettermile.com/product-update-adding-driver-knowledge-to-better-places-30ca01f9275f">location correction feature</a> on the app, a tool that lets drivers correct the location of an address on the map. It was great to see this feature being used in action, as he was able to provide a more accurate location of the building entrance for the next time there’s a delivery. After he corrects the address, it is sent to the <a href="https://blog.bettermile.com/interview-ensuring-user-success-of-a-driver-app-for-package-delivery-1fbf661de9ee">User Success, Insights, and Support (USIS) team</a> at the Bettermile HQ who then approves it within 24 hours. This ensures that the next time a driver has to deliver at the same address it will provide them with a waypoint at the correct entrance.<figure><img alt="screenshot of the location correction feature" src="https://cdn-images-1.medium.com/max/1024/1*8UsHfE4EVvZu1SqRnRnM7Q.png" /><figcaption>With the location correction feature, drivers can easily correct delivery locations in the Bettermile driver app. The updated location information is stored automatically so next deliveries become more efficient</figcaption></figure>Another function of the app we used was the <a href="https://blog.bettermile.com/why-is-dynamic-sequencing-important-for-last-mile-delivery-7a88e8b7d7b9">optimize sequence</a> feature. There were a few times we had to drive a different route due to construction, so using this tool helped us recalculate our journey and provided us with an optimized sequence of waypoints. This saved us time and made the journey more efficient.Throughout the journey, it was also interesting to witness the real-time tracking feature in action. At some deliveries, the consignee would eagerly await their package at the front entrance. They were able to do this, through the <a href="https://blog.bettermile.com/real-time-tracking-report-2023-the-market-benchmark-cfb2af73e4c1">real-time tracking service</a> GLS sends them at the beginning of the day. This is achieved through the <a href="https://bettermile.com/tracking">Better Tracking</a> product, which was implemented to give consignees live and accurate parcel tracking. On delivery day, consignees can track their parcels and see the number of stops before their package arrives. This tool shows them live delivery windows down to 10 minutes, which explains how the consignees knew when we were coming. Misha said this is one of his most valued features, as it saves him time and prevents failed deliveries.<figure><img alt="Delivery Driver Quote" src="https://cdn-images-1.medium.com/max/1024/1*vbfQNYOxLiQSOSSD98kXRQ.png" /></figure><h4>Lessons learned from being a delivery driver</h4>After completing about 40 package deliveries, it was time for me to head back to the Bettermile HQ and switch back to my usual role. My day as a delivery driver was nothing short of enlightening. Stepping into the shoes of a driver provided me with valuable insights into the intricate operations of package delivery and the role our app plays in optimizing the driver’s journey. Every aspect of the process highlighted the dedication and expertise of delivery drivers like Misha. From real-time address corrections to optimized route sequencing, every function seamlessly supports drivers to have a successful delivery day.Reflecting on my experience, I couldn’t help but admire three main skills that stood out to me as a delivery driver:<ol><li>They are Tetris wizards,</li><li>They are great at driving and parking large vehicles, and</li><li>Don’t underestimate their strength and stamina, they can run and lift very heavy packages. I was certainly exhausted by the end of the day.</li></ol>If you want to learn more about Bettermile and the innovative products to help support the last mile of parcel delivery, visit our <a href="https://bettermile.com/?utm_source=google&utm_medium=cpc&utm_campaign=brand&utm_term=bettermile&gad_source=1&gclid=EAIaIQobChMIvqyo1fv1hAMVmmdBAh2mogFrEAAYASAAEgJnv_D_BwE">website</a>!<img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=dbb224a25a28" width="1" height="1" alt="">

Switching Hats: A day in the life of a delivery driver

<figure><img alt="Data Lake Best Practices" src="https://cdn-images-1.medium.com/max/1024/1*UgkxgWTHZ60Ubd_PcQiQyg.jpeg" /></figure>As organizations strive to gain insights faster, scale their analytics and kick-start AI projects, the efficient management of distributed data becomes increasingly critical. Recognizing this, an ever-growing number of companies are beginning to develop their data strategies around the concept of a data lake, aiming to become more agile in conducting any type of analysis and maximizing the value extracted from their data assets.The logistics industry holds a vast amount of data that can be harnessed for optimization. Therefore, this form of data governance can be an appealing strategy. To effectively manage the enormous volume of data we handle at Bettermile, we implemented a data lake ourselves. This strategic move has been instrumental in our ability to scale our data processing capabilities and optimize our products. Our data scientists have gained valuable insights through this experience. In this article we would like to share some of our learnings, offering best practices for a data lake set up that might be valuable for logistics companies aiming to establish their own data lakes.<h4>Managing Big Data for Last-Mile Parcel Delivery</h4>At Bettermile, our commitment to refining our products involves in-depth analysis of route data and leveraging real-time data to make accurate predictions for our <a href="https://bettermile.com/tracking">parcel tracking service</a>. We process over 2 million parcels daily and our driver app facilitates more than 25,000 routes each day. This volume of data is testament to our capability to manage and swiftly process massive datasets, enabling us to deliver dynamic last-mile software solutions.To develop products that enhance efficiency, it’s essential to analyze data and base decisions on solid information. We regularly consult with experienced logistics practitioners who often rely on assumptions valid for their specific depot or region. However, these assumptions may not hold in different contexts. With our software solutions we guide them towards adopting a more data-driven approach, expanding their perspective beyond localized insights.<h4>What are the Advantages of a Data Lake?</h4>A data lake is a centralized repository that allows you to store all your structured data and unstructured data at any scale. You can store your data as-is, without having to first structure it, and run different types of data analytics — from dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions. Data lakes are designed to store vast amounts of data in various formats, making them incredibly flexible for data storage, exploration, and analysis.In our experience, we were able to streamline the management, governance, access, and exploration of Big Data, leading to several key benefits:<ul><li>Data-Driven Decisions: Gain insights faster and make solid, data-based decisions. Easier to define KPIs to evaluate the quality of our services.</li><li>Reduced Team Dependencies: Providing universal access minimized the need for data access requests and information exchange.</li><li>Time and Cost Efficiency: Automation transformed hours-long report generation into instant reports via a dashboard (e.g., Quicksite), enhancing efficiency.</li><li>Explorative Analysis: Enabled the use of Python for in-depth analytical exploration.</li><li>AI Optimization: Without a data lake, using production databases could hinder performance. A data lake ensures model training is efficient and doesn’t impact product performance. It also allows the model to leverage previously untapped data sources, potentially uncovering valuable insights during the training process.</li></ul><figure><img alt="What problems does a data lake solve?" src="https://cdn-images-1.medium.com/max/1024/1*sIUnwCyvQqTJ3HfnvklT2w.png" /></figure><h4>Data Lakes for Logistics</h4>In the highly data-driven field of logistics, where <a href="https://blog.bettermile.com/how-to-measure-delivery-performance-and-make-last-mile-delivery-more-efficient-bb746106c3da">performance can be quantitatively measured against a multitude of KPIs</a>, data lakes present an invaluable opportunity to not only store vast amounts of data but to also analyze it for insights and <a href="https://blog.bettermile.com/how-machine-learning-helps-predict-an-accurate-eta-2380beb31879">build sophisticated machine learning models</a>. This capability is especially useful in an industry that thrives on hard decision variables and can significantly benefit from data-driven product design.Logistics companies hold a wealth of data; the key is learning to harness it effectively. Rather than meticulously planning what data to collect for specific purposes, aggregating and storing data initially and determining its use later can be more efficient. This approach simplifies data discovery, making it easier to identify valuable insights as needs arise.<h4>Data Lake Architecture: What is the Best Structure?</h4>Although the data lake does not have a structured design like centralized repositories such as data warehouses, it is crucial to organize big data for faster access. When a company processes terabytes of data in the cloud, like Bettermile does, a query might take a day. This is very costly and impractical. Therefore, partitioning the data into buckets, similar to labeling boxes when moving apartments, enables you to quickly isolate and examine specific data.Partitioning data should align with specific use cases. For instance, a logistics firm may organize data by region or depot. At Bettermile, product teams manage their data independently. The Better Places team, focusing on <a href="https://bettermile.com/places">address processing and geocoding</a>, sorts its data by geographic details, such as regions and postal codes. Meanwhile, the Better Route team, which handles <a href="https://bettermile.com/route">driver navigation and route optimization</a>, prioritizes organization by date to facilitate comparisons between driven routes by day.It’s also advisable to add a hierarchy to the buckets. For example organization, depot, date. This makes it easier to do targeted analysis and saves processing time. Moreover, it’s beneficial to segment data into stages from raw to processed, catering to different needs.We named the stages as follows:<ul><li>Bronze Layer: captures all incoming raw data directly from sources.</li><li>Silver Layer: involves initial processing like data aggregation, simplifying analysis by summarizing detailed records, e.g., calculating total kilometers driven or stops made.</li><li>Gold Layer: focuses on data transformation for specific applications, further optimizing it for targeted use cases or machine learning model development.</li></ul>This structured approach makes it easier to navigate through vast amounts of data.<h4>Learnings from Implementing a Data Lake</h4>The internet is full of common mistakes to avoid when building a data lakehouse. Our data scientists emphasize the importance of taking the time to prepare and set up the project. Typically, a data lake is built out of necessity, but it is worthwhile to familiarize oneself with best practices and adhere to them. The adage ‘garbage in, garbage out’ holds particularly true for data lakes; the quality and structure of the ingested data directly affect the performance of data-driven projects. Therefore, it is crucial to adhere to best practices in design and management. Each step towards optimization can substantially decrease costs, save time, and prevent frustration.<figure><img alt="Quote from Data Analyst Johann Hillmann about Pitfalls in Data Lake Implementation" src="https://cdn-images-1.medium.com/max/1024/1*x9ncn-isAjG3DjGuSXvRyg.png" /></figure>Another learning we made is to make sure everyone has the same understanding of definitions. When teams work in silos and attempt to integrate their data, discrepancies in how data elements are defined and used can become a major obstacle.For example, the concept of a “route” might vary between teams; one team may define it based on initial input data from clients, while another might understand it as the <a href="https://blog.bettermile.com/why-is-dynamic-sequencing-important-for-last-mile-delivery-7a88e8b7d7b9">sequence provided by the Bettermile app</a>. To avoid such confusion and ensure seamless data integration, it’s imperative to establish a common language and definitions across all teams from the outset.<h4>Harnessing data for logistics optimization</h4>Logistics companies must have a robust data management strategy to adapt to industry transformations. The right system should align with their unique business needs. We hope that sharing our journey and strategies will offer valuable insights to others aiming to leverage their data effectively. Our experience shows that a lake formation, when implemented according to data lake best practices, can significantly enhance logistics operations by enabling efficient data analysis and utilization.<a href="https://bettermile.com/">Find out more about Bettermile</a> on our website and learn how we help logistics companies orchestrate their last-mile operations.<img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=a2b25a0bc21d" width="1" height="1" alt="">

Best Practices for a Data Lake to Optimize Logistics Processes

<figure><img alt="5 Solutions for the Last Mile Problem" src="https://cdn-images-1.medium.com/max/1024/1*9KwYxU9u863ypxeM0tL4iw.jpeg" /></figure>The last-mile problem centers on balancing the consumer’s expectations for cheap and fast delivery against its reality as the most complex and costly segment of the supply chain. This creates a significant gap between operational efficiency and customer satisfaction. Addressing this dilemma doesn’t come with a one-size-fits-all solution; instead, it demands a nuanced approach to tackle a spectrum of last mile delivery challenges, both minor and significant. The journey to address this involves continuous optimization and strategic orchestration. While the following list doesn’t capture every nuance of the issue, it focuses on five key last-mile delivery challenges for 2024, showcasing how innovative technology can provide effective answers.<h4>1. Workforce Fluctuations and Transformation</h4>Problem: Parcel delivery companies face several intertwined challenges regarding their labor force. These range from difficulties with recruitment and retention to integrating gig workers into last-mile operations without compromising service quality. These challenges are compounded by the need to keep up with technological advancements and regulatory changes, which require ongoing training and adaptation by the workforce.Solution: Implementing an intuitive driver app that guides couriers through their working day, facilitates the <a href="https://blog.bettermile.com/how-to-reduce-driver-onboarding-time-by-up-to-75-and-increase-your-companys-efficiency-5fd5fad4cc66">onboarding of new delivery drivers</a> and streamlines daily operations on the final mile. Our clients say that this technology has proven to reduce training times by at least 75%, enabling new couriers to begin solo deliveries by their second day.For Bettermile, guidance goes beyond mere route optimization; our application advises couriers on <a href="https://blog.bettermile.com/why-is-dynamic-sequencing-important-for-last-mile-delivery-7a88e8b7d7b9">the most efficient order of stops</a>, taking into account factors like business hours, and provides crucial location insights such as parking spots and precise customer meeting points. It’s designed to adapt in real-time to any detours or delays, ensuring the most effective route and delivery sequence at all times. That’s what we call truly dynamic routing.Moreover, the app facilitates seamless communication between drivers and dispatchers, allowing for instant support and intervention when necessary. A driver app not only improves safety and efficiency for new drivers but also standardizes service quality across the board. Additionally, with the right system of roles and permissions, it accommodates the integration of subcontractors and gig workers into last mile delivery operations securely, without exposing sensitive information, ensuring a flexible yet cohesive delivery workforce.<figure><img alt="A delivery app that reduces onboarding time for couriers." src="https://cdn-images-1.medium.com/max/1024/1*y6QwQ_b9tFqwf0x9POBSpQ.png" /></figure><h4>2. Low On-Time Delivery Rates</h4>Problem: Delivery delays occur when a package does not arrive at its destination within the promised timeframe. This very common last mile delivery problem not only frustrates customers but can also damage a company’s reputation. The root of this issue often lies in relying on static route optimization and fixed delivery time windows, which fail to account for traffic congestion or unexpected delays. This reliance creates a gap between the delivery times promised to customers and the actual, feasible delivery timelines.Solution: Addressing the punctuality challenge requires a commitment to transparent communication and the integration of advanced <a href="https://blog.bettermile.com/last-mile-tracking-a-game-changer-for-the-delivery-industry-947c476e140a">last mile tracking</a> technology. Establishing realistic delivery expectations from the outset is essential. A <a href="https://bettermile.com/tracking">dynamic, machine learning-based tracking system</a> can significantly improve the precision of estimated time of arrivals (ETAs) by adapting to real-time conditions and unforeseen delays. This approach ensures that customers are kept in the loop with the most up-to-date delivery information. Moreover, leveraging an omni-channel communication strategy, including push notifications, to inform customers about their delivery status is key to mitigating dissatisfaction. By offering timely updates and flexible delivery options, companies can enhance customer satisfaction and minimize the negative effects of delivery delays.<a href="https://blog.bettermile.com/real-time-tracking-showdown-amazon-vs-bettermile-who-has-better-rtt-c3119362c7c1">Read: Amazon vs Bettermile, who has the better real-time tracking experience?</a><h4>3. Delivery Delays because of Wrong Locations</h4>Problem: The precision of geocoders, which assign geographic coordinates to locations, is critical for route optimization. However, inaccuracies can arise due to various reasons such as outdated maps, insufficient address data, or errors in mapping algorithms, leading to couriers being directed to incorrect locations. These errors, known as ‘false positives,’ occur more frequently than might be expected and can significantly delay deliveries.Solution: The key to enhancing location accuracy lies in validation processes that leverage the most effective tool available: human verification. Couriers, who interact with numerous delivery locations daily, are ideally positioned to identify and correct inaccuracies in geocoded data. Historically, this valuable on-the-ground insight was underutilized, often shared only informally among drivers without a systematic approach to capturing these corrections. Bettermile addresses this gap by <a href="https://blog.bettermile.com/product-update-adding-driver-knowledge-to-better-places-30ca01f9275f">enabling couriers to adjust inaccurate location pins directly on their mapping interface</a> and confirm the precise delivery location. This process not only improves the accuracy of future deliveries but also contributes to a more reliable and efficient final mile delivery system overall.Read our <a href="https://bettermile.com/lp/white-paper-address-intelligence">white paper on address intelligence</a> to learn more about the potential of smart address processing and geocoding to reduce last mile delivery costs.<h4>4. Cancelled Stops</h4>Problem: Last-minute cancellations place a financial burden on delivery services, as couriers are often paid per scheduled delivery. Preplanned routes become inefficient with unnecessary attempts to deliver to canceled stops, increasing operating costs and wasting valuable time.Solution: Implementing a routing solution that dynamically adapts to both traffic changes and last-minute changes to delivery schedules, including cancellations and new jobs, is crucial for maintaining operational efficiency and flexibility. Automating the adjustment process saves significant time and effort by eliminating the need for manual coordination. A truly dynamic route optimization software not only accommodates these changes in real time but also puts drivers in control of their delivery route. They can apply route hacks such as adjusting route start times to avoid peak traffic and changing the first stop on the list to get rid of bulky packages, to ensure a smooth and <a href="https://blog.bettermile.com/reducing-last-mile-delivery-costs-strategies-for-route-efficiency-37f34db669fd">efficient route</a> and last mile delivery process.<figure><img alt="Truly dynamic route optimization" src="https://cdn-images-1.medium.com/max/1024/1*uKiVxsRbWTO3JAY-414qeg.gif" /><figcaption>Truly dynamic route optimization doesn’t only offer an alternative route in case of traffic jams but also reevaluates the optimal order of delivery stops.</figcaption></figure><h4>5. Underperforming Couriers</h4>Problem: There are many reasons why a courier might be underperforming. Worker satisfaction in the logistics industry depends on providing drivers with the right tools, support, and confidence to do their jobs right.Solution: Providing drivers with autonomy and control over their work is not merely about job satisfaction; it’s integral to engaging them in the ongoing <a href="https://blog.bettermile.com/digital-transformation-in-last-mile-logistics-keep-it-people-centric-59213a192dd2">change management processes critical to last-mile transformation</a>. Leveraging real-time data for route analysis allows for a comprehensive comparison of current and historical routes, enabling more informed decision-making. By utilizing intuitive <a href="https://blog.bettermile.com/how-to-measure-delivery-performance-and-make-last-mile-delivery-more-efficient-bb746106c3da">dashboards for delivery performance analysis</a>, depots can pinpoint performance gaps and initiate targeted improvements. However, it’s essential to balance the drive for enhanced performance with respect for the couriers’ autonomy. At Bettermile, we prioritize user experience, designing our last mile delivery solutions with the courier in mind and <a href="https://blog.bettermile.com/7-delivery-route-optimization-features-drivers-love-0d93aab05414">incorporating gamification to encourage tool adoption</a>. Our approach ensures that couriers not only see the value in these tools for the company but also recognize their personal benefits, leading to more efficient and satisfying delivery experiences.<h4>Solving the Last Mile Problem with Delivery</h4>As you can see, handling the complexities of the last mile problem in delivery logistics requires innovative approaches and strategic thinking. There is not one or the best last mile solution. To build saving solutions for the last mile, companies must invest in <a href="https://bettermile.com/route">dynamic routing software</a>, leverage data for better decision-making, and prioritize the user experience for their delivery personnel, also to meet the changing requirements of the labor market. By integrating these tips into their operational strategies, logistics businesses can bridge the gap between customer expectations and the logistical realities of last-mile delivery, ultimately transforming challenges into opportunities for growth and improvement.Bettermile empowers express, courier and parcel delivery organizations to evolve their last mile, drive productivity and deliver a truly enjoyable customer experience. Explore our dynamic, geo-driven <a href="https://bettermile.com/">last mile SaaS product suite</a>.<img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=52c2793f9a52" width="1" height="1" alt="">

5 solutions for the last-mile problem

<figure><img alt="How to optimize delivery routes" src="https://cdn-images-1.medium.com/max/1024/1*Bhd7rGRDgICIzWJca5pduw.png" /></figure>The most enjoyable challenges in software development are often the most difficult to crack — and some of these challenges remain unsolved to this day. Among these is the Traveling Salesman Problem (TSP), which, depending on who you ask, may be considered the most notorious of them all. In this article, we’ll delve into the complexities of TSP, exploring various historical approaches from early mathematical formulations to innovative natural solutions. We will also uncover the importance TSP holds in understanding how to optimize delivery routes for last-mile logistics and dive into one of Bettermiles products — Better Route. A <a href="https://bettermile.com/route">dynamic route optimization</a> software designed to help you improve efficiency, reduce costs, and enhance customer satisfaction.<h4>Understanding the Traveling Salesman Problem</h4>Picture this, you’re a traveling salesperson tasked with the job to visit multiple cities, each connected by roads of varying lengths. Your goal is simple: to find the shortest route that allows you to visit each city exactly once before returning to your starting point. The actual “issue” within the problem is finding <a href="https://blog.bettermile.com/reducing-last-mile-delivery-costs-strategies-for-route-efficiency-37f34db669fd">the most efficient route</a> to take. There are many different routes to choose from, but finding the best one, the one that will require the least cost or distance, is what we’re solving for.This conundrum might sound quite simple if you are only looking at a few cities, however, the more cities (also known as nodes) that are added, the more difficult it is to solve. As the number of cities increase, the potential routes multiply, presenting a formidable challenge even for the most sophisticated algorithms. This inherent complexity has sparked interest across various fields, from computer science and operations research to logistics and even biology.Moreover, this challenge becomes even more pronounced when considering real-world scenarios like the vehicle routing problem (VRP), which revolves around finding the most efficient route for a fleet of vehicles to deliver packages to a multitude of destinations. Unlike TSP, VRP requires addressing <a href="https://blog.bettermile.com/from-fleet-to-final-destination-how-fleet-tracking-differs-from-last-mile-tracking-9ea93eaa7c6">fleet management aspects such as tracking the location, movement</a>, and status of a fleet, adding another layer of complexity to the optimization process.<h4>Why is the traveling salesman problem important in the realm of delivery logistics?</h4>Well, by attempting to solve it, we can find the most efficient routes for delivery drivers to take in the last mile of delivery. This leads to significant cost savings, as <a href="https://blog.bettermile.com/unlock-the-power-of-route-optimization-9fb9f53e1c17">optimized routes reduce fuel consumption, minimize the number of late deliveries, and decrease the hours spent on the road</a>. Additionally, it plays a crucial role in reducing our carbon footprint. Even the slightest reduction, making the delivery route shorter, can have a profound impact when considering the millions of deliveries carried out worldwide each day.The benefits of solving the TSP for route optimization also trickles down to the customers who depend on efficient and timely delivery services. Whether they need the deliveries for the operations of their own businesses, or whether they rely on on-time delivery of medication for personal illness, it has real-world implications for everyone that relies on it. Believe it or not, the core of customer satisfaction, referred to as the ‘delivery experience’ in the last mile, emphasizes another crucial aspect of why the TSP is so important for optimizing delivery routes.<h4>The history of an optimization challenge</h4>So, let’s take a look at some of the most researched theories and possible solutions to TSP.Early Mathematical Approaches (1930s): The origins of the<a href="https://www.theorsociety.com/about-or/or-methods/heuristics/a-brief-history-of-the-travelling-salesman-problem/"> Traveling Salesman Problem</a> are unclear, history deems this phenomenon to date back as far as 1832, however, evidence of one of the first mathematical approaches is dated back to 1930 when Merrill M. Flood, an American mathematician, was looking to solve a school bus routing problem. Flood’s approach involved devising mathematical formulations and algorithms aimed at minimizing travel distances and maximizing operational efficiency. Since then, mathematicians and researchers worldwide have continued to explore strategies to crack the code.Nearest Neighbor (1950s) & Branch and Bound (1960s) Algorithms: The Nearest Neighbor Method takes precedence, originating in the 1950s. It initiates from the starting point of the route and systematically adds the closest stop to the current one. This sequential process persists until all stops are covered, offering a pragmatic route optimization approach.Following suit, the branch and bound approach emerged as a promising solution in the 1960s. Aimed at minimizing overall costs, it hones in on the lowest possible cost for the remaining pathways, refining initial exhaustive searches like brute-force methods. Termed as Parallel TSP on occasion, this technique streamlines the exploration process by assigning costs to each node and evaluating the likelihood of a choice leading to a solution.The Fungi in Japan, A Natural Approach (2010): In 2010, Japanese researchers discovered an unusual solution to the TSP, not from a computer algorithm but from a natural phenomenon. A type of <a href="https://www.wired.com/2010/01/slime-mold-grows-network-just-like-tokyo-rail-system/">slime mold</a> known as Physarum polycephalum demonstrated an uncanny ability to find the shortest route between food sources placed as artificial “cities.”By placing oat flakes to represent cities on a map of Japan, researchers observed how the slime mold extended its tendrils to connect food sources while simultaneously optimizing its network to ensure efficient nutrient distribution. Remarkably, the slime mold’s routes bore a striking resemblance to actual transportation networks in Japan, suggesting that natural processes could offer insights into complex optimization problems like the TSP.<figure><img alt="Funghi solving the traveling salesman problem" src="https://cdn-images-1.medium.com/max/660/1*_oKA4G6y39yZRjlRiztTfw.jpeg" /><figcaption>Source: <a href="https://www.wired.com/2010/01/slime-mold-grows-network-just-like-tokyo-rail-system/">https://www.wired.com/2010/01/slime-mold-grows-network-just-like-tokyo-rail-system/</a></figcaption></figure><h4>The complexities of delivery route optimization for parcel shipping</h4>As we delve into the world of route optimization, it’s evident that challenges like the Traveling Salesman Problem extend far beyond theoretical puzzles — they manifest in the real world, particularly affecting industries like logistics and delivery.The difficulty in solving the TSP lies in the complexity of finding the optimal route as the number of nodes increases. As the size of the problem grows, the time required to find the optimal solution grows very quickly. Real-world applications of the TSP often involve additional constraints, which further complicate the problem and make finding an optimal solution even more challenging.Some of the constraints that affect the delivery route optimization algorithm include:<ul><li>Adjusting start and stop times,</li><li>Determining start and end locations (e.g., depot, home)</li><li>Adhering to time windows,</li><li>Managing minimum to maximum volume (vehicle capacity), and,</li><li>Selecting the appropriate type of vehicle for the task.</li></ul>Imagine a delivery driver navigating through a maze of city streets, aiming to reach each stop on time while contending with unpredictable traffic and other unforeseen challenges. They will welcome every <a href="https://blog.bettermile.com/7-delivery-route-optimization-features-drivers-love-0d93aab05414">support on their route</a> they can get.In the context of modern delivery management, the utilization of delivery apps coupled with advanced route planning has become indispensable. These delivery management software solutions not only streamline the delivery process but also directly address the challenges posed by the Traveling Salesman Problem. By integrating dynamic route planning algorithms, delivery apps empower logistics businesses to optimize their delivery process efficiently, ensuring that drivers follow the most effective paths to their destinations. This synergy between technology and logistics not only improves delivery management and maximizes operational efficiency but also enhances the customer experience by guaranteeing reliable and timely deliveries.<h4>How Better Route Solves the Traveling Salesman Problem</h4>Better Route is a <a href="https://blog.bettermile.com/a-choreographed-dance-through-dynamic-delivery-route-optimization-1c96dddd26">dynamic delivery route optimization</a> software created to address the complexities of last-mile delivery. With its advanced features, including <a href="https://blog.bettermile.com/why-is-dynamic-sequencing-important-for-last-mile-delivery-7a88e8b7d7b9">dynamic sequencing</a>, <a href="https://bettermile.com/case-studies/gls-canada-case">real-time data visibility</a>, <a href="https://blog.bettermile.com/use-cases-for-dynamic-etas-b023a0ed6d6c">smart ETAs</a>, and multi-stop routing, it serves as a comprehensive route planner for delivery fleets in the final mile. Much like the Traveling Salesman Problem, Better Route seeks the shortest route to minimize delivery time, fuel, and operational costs but it also factors in specific delivery requirements for each stop and allows for last-minute route changes. The route adapts to the realities of the delivery day, giving drivers guidance, freedom, and flexibility.Because the route is continuously updated throughout the day, Better Route can provide a highly <a href="https://bettermile.com/tracking">accurate real-time tracking experience</a> and automated customer notifications with live delivery progress information. Dynamic ETA predictions increase on-time delivery rates, enabling parcel service providers to not only deliver a better customer experience but also facilitate better planning and increase productivity — because to truly accelerate your last-mile delivery business, efficiency has to feel right.If you are looking to optimize your delivery routes, Bettermile offers different solutions: from installing our intuitive integration options. From implementing firsthand, <a href="https://bettermile.com/book-demo">book a demo</a> or visit our website to learn more.<figure><a href="https://bettermile.com/route"><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*eaEtRdhyn0dPS0RjE1493Q.png" /></a></figure><img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=fbfe97180592" width="1" height="1" alt="">

How to Optimize Delivery Routes: Decoding the Traveling Salesman Problem

<figure><img alt="Differences between Google Maps, HERE Maps, Mapbox, TomTom and nextbillion.ai map services" src="https://cdn-images-1.medium.com/max/1024/1*4m95fCgsFjPVAGRwh-JsPw.jpeg" /></figure>Read this article to discover what is the difference between Google Maps, HERE Maps, Mapbox, TomTom, and Nextbillion.ai from a delivery route management perspective.If you’re building your own logistics software for delivery management, you’ll come to the point where you need to integrate mapping capabilities. Finding the best map provider for parcel logistics can be a challenge, as there are several advanced GIS mapping platforms on the market that offer a wide range of features. Not all of them are relevant to your last-mile operations.As a <a href="https://bettermile.com/">last-mile delivery SaaS</a> provider, Bettermile works with maps every day, and our team of geospatial, data science, and engineering experts has extensive experience building and <a href="https://blog.bettermile.com/launching-the-navigation-software-development-kit-for-parcel-delivery-f6f7587b4a38">implementing mapping services into a delivery app</a>. Having compared the services of several map providers in 2023 (we even tested some of them in a dummy app), we thought we’d help you with the selection process by sharing our key findings. These findings are based on extensive web research and some providers also shared information with us directly.<h4>Map software for logistics</h4>When it comes to developing software for last-mile delivery, each company has its own unique requirements based on its operational structure. In general, GPS maps play a key role in functionalities such as <a href="https://blog.bettermile.com/the-power-of-flexibility-in-last-mile-delivery-16b0eca9804b">route optimization</a>, turn-by-turn navigation, and real-time information updates. Mapping software helps delivery companies:<ul><li>Display a delivery route and stops.</li><li>Determine the <a href="https://blog.bettermile.com/why-is-dynamic-sequencing-important-for-last-mile-delivery-7a88e8b7d7b9">optimal order for deliveries</a> and pickups for each vehicle.</li><li>Access current maps and road information to refine routes.</li><li><a href="https://blog.bettermile.com/less-stress-on-the-last-mile-of-parcel-delivery-4f9516c71328">Guide delivery drivers</a> through their day.</li></ul>By avoiding heavy traffic and taking shorter routes, they can save time, use less fuel, and make their deliveries more reliable.Each map API provider has strengths and weaknesses that need to be compared and contrasted with the other providers. Considering that in mapping, and the logistics business, details are the name of the game, we focus on the key differences that we discovered during our analysis and tests.<h4>What is the best map provider for logistics services?</h4>The best map provider for logistics services often depends on specific needs and preferences. Ultimately, the choice should consider factors like cost, geographic coverage, data accuracy, and the specific features required for the logistics operation.Google Maps is often the first mapping service considered worldwide due to its reliability and ease of integration, although it only recently started to develop products that are tailored for the logistics industry. A few years ago it changed its pricing structure, and the cost for companies, especially as they scale, rose notably. This situation has led to interest in alternatives to Google Maps.<h4>Criteria for choosing a route mapping software</h4>Bettermile’s analysis sought to evaluate each map provider with respect to a single use case: their ability to provide the delivery driver the best possible delivery experience and offer them real-time guidance to navigate their route. It was particularly important that it could plan a route with multiple stops to <a href="https://blog.bettermile.com/reducing-last-mile-delivery-costs-strategies-for-route-efficiency-37f34db669fd">save time and cost per stop</a>.We compared the map services of Google Maps, HERE Maps, Mapbox, TomTom, and Nextbillion.ai. The criteria included the frequency of map data updates, availability of live and historic traffic data, display of house numbers on map, size of the service’s SDK, and perhaps most importantly, the number of waypoints able to be connected along a polyline. Waypoints are specific locations on a map, defined by a set of coordinates. Users input waypoints — in this case, the locations of addresses with deliveries — and the mapping software connects these into a polyline. It’s a way of visualizing the route a driver is recommended to follow on a map.<figure><img alt="Comparing Map Providers for Logistics Applications" src="https://cdn-images-1.medium.com/max/1024/1*HKwY63C8Yg_GS-EsTQWJ-A.png" /></figure><h4>Is Google Maps the best map provider?</h4>Google Maps is the go-to global mapping service. It offers a vast array of functionalities, including real-time traffic data, street view, and detailed route planning, making it a standard against which other services are often measured. Its daily map data updates ensure a high level of accuracy. It also provides a <a href="https://bettermile.com/case-studies/gls-spain">geocoding api with high location precision (see stats in our GLS Spain case study)</a>. It even displays house numbers on the map.On the other hand, Google Maps has the limitation of being able to only connect 10 waypoints per polyline. For parcel logistics this can be disadvantageous, as usually drivers need to make dozens or hundreds of stops in a delivery route.Google Maps supports almost all major platforms and operating systems. However, its integrations lean heavily on the rest of Google’s ecosystem, which could be limiting for some organizations with legacy practices.Strengths:<ul><li>Real-time traffic data</li><li>Daily map data updates</li></ul>Weaknesses:<ul><li>Limited to 10 waypoints per polyline</li></ul><h4>The difference between HERE Maps and Google Maps</h4>Both HERE and Google are widely recognized for their comprehensive and accurate mapping services. Renowned for its strong presence in the automotive industry and high-quality mapping data, HERE offers robust location services tailored for logistics and transportation. Its capabilities in real-time traffic information, route optimization, and fleet management solutions make it a compelling choice for logistics applications requiring precision and reliability.HERE maps, in contrast to Google Maps, can connect up to 200 waypoints as necessary along a polyline. Additionally, it offers both live and historical traffic data, allowing drivers or depots to make more informed, predictive decisions ahead of time. HERE maps supports almost all major platforms and operating systems. Map data is updated weekly, which is still frequent enough to guarantee accuracy. One downside is that HERE’s SDK size is quite large, meaning that if all its features are enabled, updates require enough bandwidth. As our clients only require specific features for their operations, this does not pose a problem. To conclude, Here Maps met most of Bettermile’s requirements for its delivery software, so we decided to <a href="https://bettermile.com/press/here-redefine-delivery">team up to redefine delivery experience</a>.Strengths:<ul><li>Real-time and historic traffic data</li><li>Weekly map data updates</li></ul>Weaknesses:<ul><li>Large SDK download size</li></ul><h4>Mapbox: Fully customizable maps</h4>Known for its customization capabilities and developer-friendly tools, Mapbox stands out for offering highly customizable maps and dynamic location-based services. It provides extensive styling options, making it suitable for businesses looking to create unique, brand-aligned mapping experiences. Mapbox is also competitive in pricing, appealing to businesses looking for cost-effective yet powerful mapping solutions.Mapbox brings a lot to the table with its daily map data updates and historic traffic insights. Its live traffic data does include a 3-minute delay. Notable is the fun animation that plays during the last 100 meters of the navigation. Mapbox also boasts a quite small SDK size, weighing in at less than 10 megabytes. For larger network operators Mapbox has its limitations as it only shows 25 waypoints per polyline. Its services are also only accessible via web, which also may be limiting.Strengths:<ul><li>Daily map data updates</li><li>Historic traffic insights</li><li>Near real-time traffic data</li><li>Tiny SDK</li></ul>Weaknesses<ul><li>Limited to 25 waypoints per polyline</li></ul><h4>TomTom: mapping software for autonomous driving</h4>With a strong emphasis on navigation and automotive applications, TomTom offers detailed maps, traffic data, and easy-to-use APIs. Its focus on location technology and the development of autonomous driving solutions makes it a strong candidate for transportation services needing accurate and up-to-date geographic information.TomTom pushes for innovation in GPS technology and has a strong focus on traffic data analytics, so it does not come as a surprise that it offers both real-time and historic traffic data. It also allows drivers to see up to 150 stops on their route overview. Unfortunately, TomTom updates its maps only once per month and it currently only offers web access.Strengths:<ul><li>Historic and real-time traffic data</li><li>Connect up to 150 waypoints per polyline</li></ul>Weaknesses:<ul><li>Map data updated only once per month</li></ul><h4>Nextbillion.ai: AI-powered map services</h4>Nextbillion.ai is a relative newcomer to the space, having set out to leverage the power of AI to improve mapping, routing and location services. They provide historic and real-time traffic data and can connect up to 200 waypoints as a polyline. Additionally, they boast a small, >10MB SDK download. Sadly, Nextbillion.ai only updates its map data quarterly. It will be interesting to see how this new kid on the block develops.Strengths:<ul><li>Historic and real-time traffic data</li><li>Connect up to 200 waypoints per polyline</li><li>Small SDK size</li></ul>Weaknesses:<ul><li>Map data updated only once per quarter</li></ul><h4>Choosing Maps for a Delivery Management Solution</h4>In our comparison of various map providers, we focused on key factors crucial for optimizing last-mile delivery operations. Businesses must assess their specific requirements to make an informed choice that aligns with their delivery model’s unique needs. Understanding the time and effort required to compile pertinent data, we trust that our comparative overview offers valuable insights to aid in the selection process, providing a foundation for logistics companies to build upon in their quest for the best mapping solution for their delivery management system.<img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=a82e112b3bf7" width="1" height="1" alt="">

Comparing Map Providers to Build Delivery Management Software

<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*MeiR4o3AcvLfHDpFM8jGhA.jpeg" /></figure>In today’s rapidly evolving business landscape, a company’s most valuable asset is undoubtedly its people. At Bettermile, we take great pride in our exceptional team, each member brings a unique set of skills, experiences and perspectives to the table. We want you to get to know some of the faces behind Bettermile and share their journeys from work students or interns to their transition as full-time employees.Meet Alejandra Sorto- Implementation Manager, Aylmer Sulaiman- Junior Customer Success Manager, Esra Gücükbel- Data Analyst, Daniel Hanekamp- Junior Customer Success Manager, Sophie Rangnick- Talent Acquisition Manager.<h3>1. What did you study and what is your background?</h3>Alejandra: I studied Computer Science Engineering in Honduras, specializing in Data Analysis. In 2023 I graduated as Master in Business Intelligence and Big Data Analytics in Madrid Spain and Master in Data Analytics and Information Systems Management in Berlin. Aylmer: I studied Industrial Engineering and Management at TU Berlin, specializing in Logistics and Supply Chain Management.Esra: I studied Mathematical Engineering for my bachelor’s degree and Data Science for my master’s degree.Daniel: I have a Bachelor’s degree in Business Administration.Sophie: I have a Bachelor’s degree in Business Psychology. My background is in psychology and research, but my main experience is now here in Bettermile.<h3>2. What was your role when you started at Bettermile and what is it now? Why did you decide to stay with the company?</h3>Alejandra: I started as a working student for 7 months in the UsIS team during my studies in Berlin. Currently I am working as a Technical Implementation Manager for the Customer Success team.The balance between working from home and in the office, the work flexibility and the great relationship with my colleagues motivated me to pursue a career at Bettermile.Aylmer: I started as an intern in the User Insight & Support (UsIS) team for 6 months and now I am working full time as a Junior Customer Success Manager in the same team.I decided to stay with the company because I am fascinated by its growth trajectory, working environment and innovative products. The industry that Bettermile focuses on is also a perfect match for my educational background. I was also attracted by the opportunity to contribute to product development from a user-centric perspective, which is one of the reasons why I decided to continue working in the same team (UsIS) after my internship.Esra: I started as a working student — in the field of statistics and reporting for the RTT (Real Time Tracking) team in August 2021. It was the summer of my first year in the Master’s program.I decided to stay because I like the company and the team culture. Everyone in the RTT team was always willing to help and support each other, so the learning process was super fast and getting up to speed was not difficult. I also like the conference days, which brings everyone together to learn more about future projects and even allows teams to choose their own paths. While I was a working student, I also enjoyed the freedom to apply what I had learned at university. I took an NLP (Natural Language Processing) course in the summer semester, and when I started working at RTT, we looked at labelling the root causes of user reviews to understand the problems with bad reviews.Daniel: I started as an intern at UST (predecessor of UsIS) and worked mainly in driver/depot support. Later I switched to working as a student at UST and wrote my bachelor thesis during this time. After that, I was promoted to a full-time role as a User Success Manager. Now I’m mainly responsible for gathering user insights and working with the product teams on them, improving and delivering training and educational materials, creating outbound communications for product features and updates, mentoring the now fourth student, and working with the product teams on product development.I like the work and the environment (flat hierarchy, home office, cool supportive team). I could also see that my work had an impact on the “bigger picture” and was growing/improving, and I also enjoy working with depots and drivers and helping them with their problems.Sophie: I started here as an intern for my studies, Talent Acquisition was really open and I helped out in HR and Recruiting, so I had the opportunity to work in both areas and experience different roles.From the beginning, I was given trust and ownership to work independently, but I still felt supported if I wasn’t sure, which is also the reason why I stayed. It was not just about what the company needs, but also where my strengths and interests lie, so I moved into recruiting. Now I’m officially a Talent Acquisition Manager, working a 4-day week, focusing on new and different tasks, and still learning something new every week!<h3>3. How have you grown in the company and what have you learned?</h3>Alejandra: As this is my first experience in a German company, I really enjoy the work-life balance. It is interesting to get to know a new industry and to work with new technologies. My German has also improved thanks to the language course.Aylmer: At Bettermile, I’ve learned the importance of a supportive work environment. It’s an environment that has helped me thrive in situations that require me to adapt quickly to new challenges, especially in a fast-growing company. Another important lesson is the power of collaboration. Working within my team and across teams, I’ve seen firsthand how collective effort and valuing each other’s opinions are very important to achieving project goals. And for my personal growth, it has taught me as an individual the value of teamwork and mutual respect.Esra: Thanks to my team I have learned to take responsibility and move forward. In our team, we take responsibility for our actions and do not back down from problems. I have also learned to believe in the process of trial and error. We always take action first and observe the result, then iterate until we achieve optimal results and meet our expectations.Before joining Bettermile, I had theoretical knowledge of statistics and couldn’t imagine that it would be so useful in our use cases. As a working student, applying the knowledge from university to real problems has motivated me to continue my education and pushed me to improve both at university and at Bettermile to make an impact. Seeing the impact on decisions thanks to the analysis has boosted my confidence and helped me to take more responsibility.Daniel: I learned a lot! Bettermile trusted me and I was able to take on a lot of responsibility. I was probably in 30+ interviews for new hires, did 10+ onboardings and now I am mentoring the 4th student. I also learned how to generate user insights and find out what are the biggest pain points of our users to communicate them to our product team so we can improve the usage of the products. I had the chance to visit several depots to train the depot staff and drivers to get the most out of our products.Sophie: All in all, the growth has been huge because I started with no recruiting and HR experience and now it’s my main focus. Not only the professional growth, but also the personal growth because of the support of my team and my mentor.Our journey hasn’t always been perfect, but it’s the challenges and victories along the way that have shaped us. We’re proud of the flexible and supportive work environment we’ve built that nurtures individual talents. At Bettermile, we grow with our people, embracing the journey with all its ups and downs, because we believe that’s what makes us stronger and keeps us moving forward.Ready to join our journey? <a href="https://bettermile.com/careers#job-list">Check our open positions</a> and apply today to become part of a team that values growth, innovation, and collaboration!<img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=f37dde3539c4" width="1" height="1" alt="">

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