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Smart inventory to guarantee stock and anticipate demand, 100% of times.

Industry: Retail
Site: e-commerce
Use Case: Forecasting & Optimization
Region: Spain
Year: 2020

Trabajador de tienda de abarrotes

PROCESS DESCRIPTION

Supply chains and sales and finance departments, among other business units, depend on accurate demand metrics to satisfy customers, better manage inventory, and optimize cash flow.

PROBLEM

Predicting what customers want, in what quantity and when they will want it is critical to the success of any organization.

 

GOAL

Develop a Machine Learning model to discover how time series data and other variables, such as product characteristics and location, affect each other

 

BENEFIT

In this way, it is possible to generate predictions related to the behavior of the demand for a product and the need for resources

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