Unata’s proprietary 1-to-1 personalization engine uses machine learning algorithms and data processing techniques, specifically designed for the grocery industry, to provide a personalized shopping experience for every single shopper.

Our 1-to-1 engine:

• Combines in-store and online data to personalize every single shopper touchpoint in the digital grocery experience.
• Continuously analyzes each shopper’s ongoing in-store and online purchase behavior to provide an increasingly relevant experience.
• Supports thousands of SKUs, millions of users, store-specific assortments and high purchase frequency.
• Is both automated and configurable, giving retailers as much control as they want over recommendations shown to shoppers.