Data-driven decision support for the localization of pickup points
Increased e-commerce is impacting urban logistics and residents' movement patterns. Last-mile deliveries, particularly associated with e-commerce, are becoming increasingly significant. To streamline and reduce the environmental footprint of these deliveries, this project explores how delivery data, combined with AI analysis, provides insights into various delivery locations. This newfound understanding enables data-driven decisions and optimization of transportation to and from delivery points.
Achieved Results
By using clustering, we have analyzed how various pickup locations in Östergötland differ in both time and space. The results demonstrate that utilizing the shared dataset in conjunction with clustering techniques enables a clear identification of distinctive features, both in terms of location and time, for different pickup locations in Östergötland.
Next Steps for the Results
Throughout the project, additional stakeholders have been identified and contacted. Potential collaborators to enhance efficient last-mile deliveries include Telia, as well as the municipalities of Norrköping and Linköping. The project team has also engaged in discussions with Ahlsell, IMI Solutions, and Inquire, with a focus on deliveries within the construction sector.
Learnings from the Project
The results highlight the possibilities that arise when combining delivery data from carriers with AI to gain a deeper understanding of how pickup locations are utilized. Throughout the project, LiU has increased its insights into the characteristics of delivery data, while DB Schenker and iBoxen have gained a better understanding of how AI can process data and generate insights about their systems and customers.
Curious about the project results?
Listen to David Gundlegård from LIU talk about our progress and outcomes. Check out the video for more information!
Partners
In the preliminary project, the main participants were Linköping University, DB Schenker, and iBoxen. RISE, Trafikverket, and CLOSER have been involved in discussions regarding possibilities, challenges, and direction.
