Balance inventory between stores with excess stock and stores where demand exceeds supply
High computational efficiency, having to evaluate more than 8,000 SKUs in more than 2,000 stores
Increase retailer’s global revenue, based on prioritization of the most profitable movements
Location of outlets
Stocks and product taxonomy
Sales history and predictions
Transport costs and times
Algorithm capable of analyzing millions of possible movements and recommending the most profitable
Highly flexible parametrization: incorporation of size curves, rules for out-of-stocks, logistics costs, etc.
Total control over costs and expected return
Diagnostics according to trading volume, transport costs, merchandise value, etc.
Advancements in the management of handovers, opening and closing of stores, and stock consumption
Sales increases of up to 60%
Greater capacity to detect and move unbalanced products
Integration with the most popular market databases, both cloud and client server based
Full integration with our seasonal forecasting engine, where the client has the same
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