Otto, an ecommerce company, uses deep learning algorithms to predict consumer purchases with 90% accuracy, enabling automated purchasing and reducing annual returns by $2 million.
Traditional forecasting methods were less accurate, leading to overstock and returns.
Implemented deep learning models analyzing customer behavior and purchase patterns to forecast demand and automate purchasing.