Faster delivery with machine learning

In times like these, online shopping replaces going out. For logistics companies, this means a parcel volume comparable to that of the Christmas season. Potential for optimisation lies in the last mile.

Challenges

  • Large shipment volumes require higher personnel deployment
  • The allocation of shipments to delivery routes plays a decisive role in deployment planning
  • Non-ideal distribution of shipments leads to considerable additional expense

Result & customer benefit

  • Our AI solution optimises delivery routes
  • The algorithm predicts the delivery time of each individual parcel, depending on the delivery address, day of the week, weather and current traffic situation
  • With this information, the routes of the delivery staff can be optimally planned

Branch

Logistics

Subject

Delivery process

Runtime

2020

Project scope

1 Scrum team

Let us talk.

We will find out if we are good match in a short phone call. Simply send us your telephone number and we will call you back.

Dennis Meyer

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