Artificial intelligence and a data repository built on Google Cloud have helped Levi Strauss & Co. improve revenue and profitability, says chief strategy and AI officer Katia Walsh.
The repository houses data that shoppers share with the company, as well as public and private information on consumer buying habits, weather and climate forecasts, and economic trends. Analyzing the data via machine learning and automation has helped Levi augment personalized consumer marketing, make informed pricing decisions, forecast demand, and optimize fulfillment, Walsh says.
Applying AI to pricing "enabled us to not discount broadly and as deeply as has been the practice in the past," and has allowed the company to precisely target customers which has helped increase revenues, Walsh says.
From The Wall Street Journal
View Full Article – May Require Paid Subscription
Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA
No entries found