Levi's AI Chief Says Algorithms Have Helped Boost Revenue

The repository includes information that Levi's shoppers share with the company. It also houses a range of external data, derived from public and private sources, that track consumer buying patterns and behaviors, weather and climate forecasts, economic trends and more. This cache, Ms. Walsh said, is vital to implementing Levi's enterprise-wide AI capability. The application of machine learning and automation to the data has helped the company enhance personalization of consumer marketing, make informed pricing decisions, predict demand and optimize fulfillment, all of which have helped the business, she said. The Morning Download delivers daily insights and news on business technology from the CIO Journal team.