Automatic pricing – Van den Bosch
|Company Name / Department||Van den Bosch|
|Contact Person||Teun Franssen|
|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|
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”.
We calculate hundreds of quotes every week. At the moment we calculate these quotes by simulating the planning including the orders of these quotes. In this way we can calculate the costs quite accurately, but the number of quotes we can calculate per hour are quite low.
A small number of these quotes are awarded, and an even smaller number of quotes lead to at least one order.
We would like to decrease the number of quotes we process, without a decrease of turnover.
Goals of the project:
Decrease the required amount of time to calculate a quote. Try to give a good estimation of the costs for a quote, without ‘planning’ the quote.
Determine whether it is likely that a quote will lead to orders, so we can decrease the number of processed quotes without decreasing the turnover.
- Algorithm that estimates the costs of a quote quite accurately.
- Algorithm that determines the probability that a quote will lead to an order.
- (For the quotes that are worthwhile to process, we would like to estimate the ‘winning’ probability per quote per price.)
Essential student knowledge:
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