3 AI Success Stories: Tips From, Finish Line And H&M

An expanding group of retailers are implementing AI solutions to solve specific operational problems, from merchandising and marketing to promotions and pricing. AI’s growth reflects this — the technology’s market within retail is projected to reach $27.2 billion by 2025.

Retailers are tapping AI to drive sales and anticipate demand (50%); understand consumer behavior (46%); and offer highly accurate individualized promotions (46%), according to a 2017 survey from Retail Week and Qubit.

Download this special report to discover how retailers from three different industry segments have implemented AI platforms across their enterprises. Highlights include:

  • How machine learning powers image recognition capabilities for Overstock, improving its online search feature and helping generate a 3% lift in conversions;
  • How Finish Line has gained greater insight into inventory management and supply chain efficiency by leveraging algorithms to cluster stores based on consumer actions; and
  • Why H&M started working with 200 data scientists and engineers — both internal and external — to diversify products in individual stores.

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