[DSC Europe 2020] Using uplift modeling for dynamic pricing - Alexei Chernobrovov

The report focuses on one of the approaches for solving the task of dynamic pricing for the internet-shop. Two groups of features are used for building the algorithm of dynamic pricing: data on users and data on goods. Algorithm is based on the iterative price change for clusters of goods. Another feature of the algorithm is the validation of the evaluation of the profit function at each step as in uplift-modeling. In the report would be considered the example of the internet-shop with the amount of more than 70,000 goods and 1 million unique users per month.

Alexei holds PhD in maths & he is teacher and mentor of Netology. Worked with some well-known companies in Russia and CIS:, He is member of the expert Council of the Runet Prize.

This talk was presented during Data Science Conference Europe 2020 as a part of the Business App of Data & AI track.