Identifying opportunities for using data-driven automation – Ewals Cargo Care



Company Name / Department Ewals Cargo Care (hereafter called Ewals)
Contact Person

Bas Schoone

Location Tegelen
Study programme(s)

Operations Management and Logistics (OML) 

Community Data2Move
Start Date February 2022
Housing arranged by company No


450 euro per month

Company Description

Ewals company description

Project Description

Ewals is an innovative player in delivering logistics services. They aim to integrate data-driven automation in their processes, from first quote to execution. In order to improve these processes, it is important to first understand the processes very well, which is a key stepping stone of the project. Thereafter, we move over to building a prototype to make the opportunities more clear for Ewals. 

Goals of the Project
The goal of this project is creating a clear overview of the various processes in Ewals that pertain to quotation, planning and execution of logistics services, and to determine how process automation techniques such as AI can contribute to improve those processes, and eventually the bottom line of Ewals.


Overview of processes in Ewals pertaining to quotation, planning and execution of logistics services.


Essential Student Knowledge 

Affinity with transportation logistics and AI, preferably reinforcement learning. Excellent communication skills, preferably in Dutch.


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