Case Study: Monoprix achieves more accurate promotional sales forecasting with Verteego

Monoprix - Customer Case Study

The French retailer Monoprix faced a challenge in accurately forecasting demand for its promotional sales, a process that was time-consuming and managed through an internal tool requiring IT support. This led to significant issues with out-of-stocks and overstocks. To address this, Monoprix partnered with the AI company Verteego to explore machine learning for optimizing its promotions.

Verteego implemented its platform, integrating data from sales, storage, promotions, and external sources to automate the forecasting process. The solution provided by Verteego delivered fully automated predictions in a matter of hours, leading to a 10-point increase in forecast accuracy and a 3-5% boost in promotional sales for Monoprix, greatly enhancing their reactivity and efficiency.

Monoprix

Stéphane Tailliandier

Supply Chain Director