sodimac-fondo

Forecasting

-SODIMAC ALGORITHMS

the Challenge

SODIMAC Homecenter wanted to create a plan for the sales target of each of its products within a year.

They required a demand forecast of the products for efficient storage.

the Proposal

We partnered with the client to predict the sales of 1500 products.

We developed a custom algorithm by analyzing historical data on sales,product verticals, geographic location, and information on each branch.
The prediction algorithm analyzed past demand patterns and contextual variables to forecast future demand.

THE IMPACT

By using this algorithm, the retail company made precise week-by-week predictions of product behavior and the demand for each of its distribution centers.</span

They reduced costs of immobilized inventory, distribution costs, costs through optimizing the capacity of service (salesforce and customer service), and increased sales through special promotions and discounts.

By using this algorithm, the retail company made precise week-by-week predictions of product behavior and the demand for each of its distribution centers.</span

They reduced costs of immobilized inventory, distribution costs, costs through optimizing the capacity of service (salesforce and customer service), and increased sales through special promotions and discounts.