Alibaba Realizes Millions in Cost Savings Through Integrated Demand Forecasting, Inventory Management, Price Optimization, and Product Recommendations

Alibaba, which operates one of the world’s largest e-commerce platforms, designed a comprehensive omnichannel retail infrastructure that enables both online and offline ordering of products, ranging from general merchandise to fresh produce. Intelligent decisions in the supply chain, such as demand forecasting, inventory management, and price optimization, are critical to the success of any retail business; however, many unique features in retail operations defy traditional operations research solutions and pose considerable challenges. Alibaba developed a series of models and algorithms, namely, deep-learning algorithms for demand forecasting, simulation optimization–based models for inventory management, price optimization for promotions, and markdown optimization for product recommendations. Alibaba has implemented these algorithms in almost all its retail businesses over the last three years and has generated, on an annual basis, $42 million of savings in shrinkage and inventory costs, $110 million in increased sales, and $13 million dollars in increased profit.