Fast Moving Consumer Goods Companies rely on human guessing to make sales forecasts. These are wrong 57% of the time, which results in a 5-8% loss of annual revenue. Wrong sales forecasts cause excess inventory, stock-outs, wasteful promotions, and more.
Our product uses Machine Learning to cross-analyze sales data and social media data. This removes human error from sales forecasts. Instead of being wrong 57% of the time (the conventional method), our forecasts are right 93% of the time.
Medium and large Consumer Goods Companies, Retailers