Delivered a 15% Reduction in Wastage To One Of The Largest Retail Companies In SEA
Delivered a 15% Reduction in Wastage To One Of The Largest Retail Companies In SEA
Fountain9 worked with one of the largest retail companies in Southeast Asia to help them overcome the challenges of predicting volatile demand for perishables, high perishables waste levels, and the inability to predict exclusivity for products with different attributes. AI-powered Kronoscope helped them tackle these challenges by factoring in sales data and other demand drivers like focus SKUs, promotions, price changes, business goals, target margins, and seasonality to sense demand at the SKU/Store levels.
Delivered a 15% Reduction in Wastage To One Of The Largest Retail Companies In SEA
Fountain9 worked with one of the largest retail companies in Southeast Asia to help them overcome the challenges of predicting volatile demand for perishables, high perishables waste levels, and the inability to predict exclusivity for products with different attributes. AI-powered Kronoscope helped them tackle these challenges by factoring in sales data and other demand drivers like focus SKUs, promotions, price changes, business goals, target margins, and seasonality to sense demand at the SKU/Store levels.
Delivered a 15% Reduction in Wastage To One Of The Largest Retail Companies In SEA
Fountain9 worked with one of the largest retail companies in Southeast Asia to help them overcome the challenges of predicting volatile demand for perishables, high perishables waste levels, and the inability to predict exclusivity for products with different attributes. AI-powered Kronoscope helped them tackle these challenges by factoring in sales data and other demand drivers like focus SKUs, promotions, price changes, business goals, target margins, and seasonality to sense demand at the SKU/Store levels.
Fountain9 worked with one of the largest retail companies in Southeast Asia to help them overcome the challenges of predicting volatile demand for perishables, high perishables waste levels, and the inability to predict exclusivity for products with different attributes. AI-powered Kronoscope helped them tackle these challenges by factoring in sales data and other demand drivers like focus SKUs, promotions, price changes, business goals, target margins, and seasonality to sense demand at the SKU/Store levels.
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