Based on RS Market(i)’s Cohort approach Outlet cohorts were created with similar sales patterns around Shampoo category. Using Tertiary Offtake Data, store-specific strategies were built depending on the brand share and category share.
Suggested Order Quantity and Must-Sell SKUs list were generated at an outlet level using our predictive algorithms to create a scenario which would have maximized the business benefit for the company.
SOQ and Must Sell SKU’s were flown via API into SFA used by the Salesmen
Project was run in identified 7 Cities for 3 months
Market Share increased up to 3.5x in the markets where the project was executed