Our client is one of the largest drugstore chains in Europe with around 56,200 employees and more than 4000 stores across Europe.
In 2019, our client had more than €10 billion turnover in Germany, Poland, Hungary, the Czech Republic, Turkey, Albania, Kosovo and Spain.
The algorithm developed by our team has been implemented and is currently being used.
In addition, our client organises many promotions and offers its clients various discounts. In order to optimise the number of ordered products and better plan marketing campaigns, we have developed a model predicting how a given article will sell in the event of various promotions. As various promotional campaigns often overlap, it was a big challenge to isolate the impact of individual promotional campaigns on sales.
Another challenge was identifying problems on the basis of consumer surveys.
Sometimes customers, after visiting the store, leave comments on various aspects of shopping (prices, promotion, quality of service, etc.). It is not easy for network employees to find out what customers most often complain about – each customer enters a different message.
Therefore, using deep neural networks, we have developed an algorithm that divides comments by topic to facilitate this task.
MIM Solutions was launched as a spin-off of the University of Warsaw’s Algorithms Group, directed by prof. Piotr Sankowski. The company has brought together experts passionate about solving practical algorithmic problems efficiently, and this has finally evolved towards machine learning. Although MIM Solutions is not a part of the university now, we are still in tight cooperation.
MIM Solutions specialises in difficult tasks. We are proficient in providing effective solutions, especially when standard methods have failed. However, for the most common problems we specialise in, we offer a set of generic services ready to swiftly deploy in any environment.
MIM Solutions is a company registered in the National Court Register kept by the District Court for the City of Warsaw, 13th Commercial Division of the National Court. Register. KRS: 0000581404, NIP: PL5213710082.
