Shelf Engine today announced a $41 million Series B funding round to expand its automation solutions to grocers facing mounting customer, labor and competitive pressures. Currently live in more than 2,000 grocery stores nationwide, Shelf Engine's intelligent forecasting and order automation system uses advanced statistical models, machine learning and neural networks to generate the most accurate orders for grocers, drastically increasing sales and margins while reducing the 43 billion pounds of food the industry wastes every year.

The round, which brings Shelf Engine's total funding to date to $58 million, was led by General Catalyst with follow-on investments by Series A lead GGV Capital along with Foundation Capital, 1984 Ventures, Correlation Ventures, Founders' Co-op, Soma Capital, Firebolt Ventures and Initialized Capital. In addition to continued expansion, the round will enable Shelf Engine to further invest in its rapidly growing team of engineers, data scientists and supply chain automation experts.

Shelf Engine is transforming the food supply chain by helping grocery stores increase profit margins while drastically reducing food and beverage waste. Using machine learning, Shelf Engine forecasts demand for highly perishable foods, reducing waste and out-of-stocks. Shelf Engine's unique business model handles the entire ordering process from vendor management to shelf optimization, saving retailers money and reducing risk by buying back any remaining unsold items. Launched in 2015, Seattle-based Shelf Engine has more than 145 employees and manages orders for leading grocers at thousands of locations nationwide.