Helping food brands and retailers reduce food wastage
Company was acquired
Event Year: 2021
Company was acquired
Event Year: 2021
Fountain9 offered a predictive inventory planning solution designed to assist food brands and retailers in minimizing food waste and enhancing product availability. By accurately forecasting future inventory needs, the platform aimed to address the significant global issue of food wastage, which carries substantial financial and environmental consequences. It is estimated that 1.3 billion tonnes of food are wasted annually, with a considerable portion, between 7% and 15%, attributed to inventory mismanagement.
Fountain9's system precisely predicted future inventory imbalances that could lead to either out-of-stock situations or spoilage. It also provided recommendations for mitigating the impact of these imbalances. The platform's advanced demand sensing and pricing engine considered various factors, including historical sales trends, seasonality, holidays, markdown events, and pricing adjustments, to forecast future inventory requirements and optimize pricing strategies. Furthermore, predicted inventory demand was aligned with supply-side data to identify optimal suppliers and replenishment quantities, thereby minimizing the likelihood of stockouts or inventory wastage.
Fountain9 offered a predictive inventory planning solution designed to assist food brands and retailers in minimizing food waste and enhancing product availability. By accurately forecasting future inventory needs, the platform aimed to address the significant global issue of food wastage, which carries substantial financial and environmental consequences. It is estimated that 1.3 billion tonnes of food are wasted annually, with a considerable portion, between 7% and 15%, attributed to inventory mismanagement.
Fountain9's system precisely predicted future inventory imbalances that could lead to either out-of-stock situations or spoilage. It also provided recommendations for mitigating the impact of these imbalances. The platform's advanced demand sensing and pricing engine considered various factors, including historical sales trends, seasonality, holidays, markdown events, and pricing adjustments, to forecast future inventory requirements and optimize pricing strategies. Furthermore, predicted inventory demand was aligned with supply-side data to identify optimal suppliers and replenishment quantities, thereby minimizing the likelihood of stockouts or inventory wastage.
Total Raised: Unknown (Y Combinator backed)
Last Round: Winter 2021
Total Raised: Unknown (Y Combinator backed)
Last Round: Winter 2021
B2B
B2B
B2B -> Retail
B2B -> Retail
Team size: 8
Hiring: No
Team size: 8
Hiring: No