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Product Rec Case Study

In a world continually driven by AI and machine learning, shoppers expect retailers to anticipate their needs at every stage of the customer journey. In this case study, Upsellit’s AI-Driven Product Recommendation Engine maximizes the purchase potential of every order with personalization that turns recommendations into additional revenue.

Download the case study to learn how Upsellit:

  • Provides one-to-one recommendations across the customer journey
  • Uses bundles to motivate shoppers to purchase
  • Leverages out of stock items to generate conversions
  • Provides a 12% incremental lift across all campaign