Volume and demand forecasting- DB Schenker

 Overview

Company Description

DB Schenker is the world’s leading global logistics provider — we support industry and trade in the global exchange of goods through land transport, worldwide air and ocean freight, contract logistics and supply chain management. DB Schenker is a division of German rail operator Deutsche Bahn AG that focuses on logistics and was founded 135 years ago. Integrated logistics resides at the world’s most important intersections, where the flow of goods creates an effective link between carriers. Our value-added services ensure the flow of goods continues seamlessly and supply chains stay lean and optimized for success.

Project Description

Perfect volume calculation
To charge a rate to our customers, we take either the real weight, or the volume weight of a shipment.
This calculation is rather complicated, based on the size of the shipment and dimensions of the pallet and the maximum payable weight of a trailer.

There is the need for a research on what is the perfect and future proof volume calculation model for our customers and DB Schenker, taking also into account what competition does. What makes it more complex is that if we change the model, we need to make sure the financial impact is minimal.

The assignment should both contain qualitative research (interview customers + internal stakeholders) as well as quantitative research (analyze the proposed model vs the existing model).

Goals of the Project

With this research we would like to change the volume calculations making it more simple towards our customers as well as financially sustainable in the future.

Deliverables

A future proof tax weight calculation model including impact current vs new model.

Essential Student Knowledge

Logistics knowledge and AI / Big Data knowledge.

More information: escf@tue.nl