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 campaigns
