How to model the impact of urban planning on logistics in order to ease traffic in cities?
The number of parcels handled by national postal services, such as La Poste, has grown sharply in cities over the past decade. Customer requirements are also evolving; shoppers can, for example, now request delivery an hour after paying for their purchases. These new demands are putting additional pressure on cities. Until now there was no solution that leveraged big data to help cities make sound decisions in terms of urban planning for logistics.
parcels handled on average by La Poste per day
Colisweb specialises in the last mile delivery and guarantees deliveries the same day, by appointment or in less than 2 hours for the transportation of both large and small parcels.
La Poste provided Colisweb with 3 months of historical data including current delivery routes, types of customers, parcels, vehicles, etc. Colisweb then fed its algorithms, co-developed with INRIA (French Institute for Research in Computer Science and Automation), to measure the impact of potential urban modifications on logistics in terms of cost, time and CO2 per delivery. Second, the Colisweb solution was able to recommend the ideal fleet size (i.e. number of bikes, vans and trucks) for a specific urban area.