UpSellit’s Recommendations Generate $762K in 30 Days

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.

Product Rec Case Study

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