Automatic invoice matching – Van den Bosch



Company Name / Department Van den Bosch
Contact Person Teun Franssen
 Location Erp
Optional remote work Yes, at least two days / week at the office
Travel expenses (own account or reimbursed by the company) Reimbursed by the company
Housing arranged by company No
Housing expenses (how much per month, own account or subsidized by the company) Own account
Internship compensation  €500,- per month
Study program
ESCF community


Start date

September, 2023


Company Description

Van den Bosch is an international logistics service provider located in Erp, The Netherlands. They aim to drive sustainable and reliable change in the supply chain through intelligent innovation. More than 80% of all their transport is performed by means of intermodal transport. They believe that logistics is not just about transport, but also about data, insights, and know-how. They are constantly trying to drive change within the sector, which is why they are known as “The Supply Changer in Bulk”.


Project Description

Project description:

We receive lots of invoices every week. If the invoice amount matches the expected invoice amount, the invoice is matched automatically.

Unfortunally many invoices are not matched automatically. In these cases we check the differences manually and decide what to do per cost line.

Luckily, we also send lots of invoices every week to our customers. Our Customer Order Management system automatically creates extra costs lines based on some calculation rules.

Many costs lines are cancelled by our customer service employees. Other costs lines are not accepted by our customers.

Goals of the project:

In this project we would like to recognize patterns to increase the matching rate and decrease the amount of manual adjustments per invoice.

Improve the automatically generated costs lines, to decrease the number of cancelled costs lines and increase the number of accepted costs lines.


    Suggestions on improvements in the invoicing process.

    Suggestions on improvements in the generation of the extra costs lines.


    Essential student knowledge:

    Machine Learning / AI




    More information:  


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