Project

Forecasting purchases for a clothing store

Objectives: to improve their forecasts of purchases by product categories in order to reduce the costs of illiquid, but at the same time fall into seasonal waves of increased demand.

This task required immersion in the business processes of procurement, inventory balances, assortment and retail sales. Having plunged into business with our heads, we learned how to track the moments of the category deficit and its overabundance, adding this data to the time series with information about sales in all categories, we compiled our own algorithm for modeling the optimal volume of purchases.

As a result, sales increased, and warehouses began to overflow less often.