LikeMinds uses predictive modeling technology that analyzes past
customer behavior and preferences, identifies like-minded individuals, and
makes personalized product recommendations for them in real time.
“Levi taught us a great deal
about the online retail market and allowed us to develop a number of new
innovations to the technology,” said Steve
Kanzler, Andromedia vice president of marketing.
“For instance, it was at the Levi site that we
proved that lifestyle preferences can be used to deliver accurate product
recommendations. In fact, the site has been so successful that Levi is now in
the process of making a major upgrade to handle the traffic.”
In a first-of-its-kind application called Style Finder, the Levi’s site uses the
LikeMinds technology to give customers recommendations about the latest
Levi’s looks that fit well with their personal style, based on how they
answer a series of questions about music, fashion, and fun.
Levi Strauss & Co., 74 percent of customers who have used the technology said the
clothing recommendations were “right on.” The Levi’s Online Store represents
the first personalization effort in the fashion industry to utilize
collaborative filtering for e-commerce, Andromedia said.