AI Algorithms Kick up Levi's Revenue

Levi's uses AI in pricing and other areas to improve its revenue and boost margins. The data collection includes inventory and sales information from Levi's stores as well as some stores operated by other retailers, in addition to external data from public and private sources that track consumer buying patterns and behaviors, weather and climate forecasts, economic trends and more, the report states. Applying machine learning and automation to its data has helped Levi's increase its personalization of consumer marketing, make informed pricing decisions, predict demand and optimize fulfillment. Machine learning uses statistics and probability to recognize data patterns and make predictions. In addition to its eCommerce site, Levi's has its products in about 50,000 retail stores in more than 110 countries.