AI for retail: store-level replenishment and automated promotional production
WYnova applies artificial intelligence in retail and distribution to store and marketing processes, such as demand forecasting by store and the production of promotional leaflets, always with validation by the team.
Contact WYnovaCommon challenges in the sector
Stockouts that lose sales and excess stock that ties up capital.
Forecasts made by hand in Excel, store by store, with data that arrives late.
No visibility of demand by SKU and by store.
Demand forecasting and automatic replenishment
Challenge
Decide what to replenish, in what quantity and when, store by store, with up-to-date data.
Proposed approach
A demand forecasting model by store and SKU, fed by sales history, seasonality and external signals (promotions, weather), generates replenishment proposals directly in the ERP. The store or category manager validates each proposal before the order is placed.
Expected result
Fewer stockouts and less excess stock, with the replenishment proposal available in the ERP for the manager to validate.
Technical areas: ML, Data Eng, RPA, ERP integration
Other sectors
Industry and manufacturing
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Banking and financial services
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Logistics and transport
Route optimisation and predictive fleet maintenance.