Низамов Максим
Руководитель отдела международной аналитики - Ozon
Moscow, Russia
Attended conferences (1)
Talks (2)
  • 18.01.2021
    Why implement end-to-end analytics?

    Ozon is an e-com retailer that allows you to order any of more than 9 million products anywhere in the country in a short time. We have created and continue developing a complex logistics system consisting of fulfillments, sorting centres, a network of parcel lockers and self-pickup points. 

    We consider international markets to be one of the promising areas of development, in which we have built and continue to expand end-to-end analytics - from assortment and logistics to marketing and customers. 


    Within the talk, we will discuss how end-to-end analytics differs from non-end-to-end one. Using Ozon as an example, we will show why end-to-end analytics is needed at all, what are its advantages and guide how to build it.

    • Easy
    • 40 min
    • Analyst Days / 12
  • 09.12.2019
    Digital twin to support the growth of logistics infrastructure in e-commerce

    Ozon is an e-com retailer that allows you to order any of more than 2 million products anywhere in the country in a short time. We have created and continued developing a complex logistics system consisting of fulfillments, sorting centres, a network of parcel lockers and self-pickup points. 

    We use simulation in AnyLogic for decision-making. 

    AnyLogic is a Java-based program with a set of specialized libraries for modelling business processes, production processes, pedestrian, railway and car traffic. With AnyLogic we solved the task of organizing a logistics system for the peak season in the Moscow region, which includes 9 sorting centres with different capacities, 3 fulfillments, more than 3000 self-pickup points and parcel lockers. The task was complicated by the different density of orders for geo-regions, days of the week and time of day. Using the delivery model in the Moscow region as an example, we will show what tasks it is worth to solve using simulation modelling.

    • Average
    • 40 min
    • Analyst Days / 11
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