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Machine Learning

Not too little, not too much, and just right - advanced algorithms help you merchandise your stores

Graphic showing a robot putting products into a shopping cart

How can advanced algorithms help to efficiently stock stores and warehouses? How does the process of preparing such an algorithm work? And what risks does it help to mitigate?

Barbara Sobkowiak, Data Science Manager at Britenet, answers these questions in an article for Retail News.

The link to the article can be found below:

Not too little, not too much, and just right - advanced algorithms help you stock your stores



Profile photo of Barbara Sobkowiak

Barbara Sobkowiak

In 2016, I joined Britenet's Poznan branch and started my adventure as a Junior SQL Developer. Quite quickly it turned out that my strengths are analytical skills and contact with the customer. I continued my development as a Business Intelligence Analyst, being responsible for the analytical parts of data warehousing and reporting projects. After some time, I became a Data Science Manager, thus getting the opportunity to build my own team and taking responsibility for the whole area. In my work, I talk to clients showing them that they can get even more knowledge from data and build their entire decision-making process around it. Together with his team, he performs tasks in the area of data analysis and machine learning.

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