AI-personalized Rewards Store Launches Globally, Making Rewards More Meaningful and Engagement More Powerful

Global Reward Solutions, the pioneering platform for rewards management, announced the launch of a new Personalized Storefront powered by a revolutionary Reward AI that transforms the rewards shopping experience.

Using machine learning, Reward AI suggests rewards that best match members’ interests, boosting engagement and redemption rates. An all-new, next-generation search-and-shop interface also makes it faster to find and easier to order from the GRS catalog of over 2,500 brand-name rewards from companies like Apple, Sony, Garmin, Nintendo, Bose, Fitbit, Cabela’s, Michael Kors, KitchenAid, and more. Together, these two innovations accelerate points redemptions and drive program loyalty and positive behaviour change.

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“Companies with incentive, recognition, or loyalty programs want a platform that motivates people to create their greatest work with personally meaningful rewards,” said Rob Purdy, founder and CEO of Global Reward Solutions. “With our new Reward AI technology, we’re making it easier to find and redeem for what you love, reinforcing the direct connection between performance and rewards. It’s a game changer.”

The new GRS Personalized Storefront is a revolution in reward shopping design. In addition to AI personalization, it features six design innovations:

  1. Featured brands showcase the popular brands that members love.
  2. Faceted browsing makes it easier for members to browse reward categories.
  3. Attribute grouping helps members pick the exact size, color, or feature options they want, all on one screen.
  4. Featured categories highlight popular reward collections like fashion, travel, or home design.
  5. Search mega-menus accelerate store navigation.
  6. Integration with our Evergrow climate action program; with every transaction, Global Reward Solutions is funding the planting of five new native trees to reduce global warming.

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AIGlobal Reward SolutionsKitchenAidmachine learningNewsrewards management
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