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Using Data Science in Pricing [ru]

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The aggregator solves a difficult problem — balancing supply and demand at each moment in time in space. In addition to the standard tariff, the price must be selected so that it is acceptable to the user and the order is interesting for the driver. To do this, it is necessary to take into account the forecasts of placing orders, weather, traffic jams and the real state of the supply (drivers). At Uklon we solve these problems using an ensemble of ML models.

Volodymyr Andriienko
Uklon
  • Product owner Data Science at Uklon
  • He is a fan of data science, pattern discovery, and behavioral analytics, with an interest in product development and the discovery of new product niches
  • Widely uses DS as tools for solving product problems and optimizing processes
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