A smart alerting solution for one of the largest FMCGs through identifying OOS and Off-Sales anomaly

Client is one of the largest (Fortune 500) FMCG companies in the world. Client wanted to develop a system to generate smart alerts for merchandising teams at a store level based on off-sales trend

• Identifying OOS Situation: Built ML-based models to identify the Out-Of-Stock scenario in a store at an SKU level taking into account the level of phantom inventory
• Identifying Off-Sales Behavior: Built ML-based models to identify the off-sale behavior of an SKU in a particular store attributable to phantom inventory, stock less than presentation stock or improper operations within the store
• Smart Alerts: Built a system that generates alerts for the store manager and merchandising teams to maintain healthy stock in the store and increase the revenue