Last updated on February 2nd, 2025
AppCard has introduced Pinky 2.0, an innovation that aims to boost the relevance of coupons and optimize consumer behavior tracking by using artificial intelligence for independent grocers.
The advancements are designed to enhance grocery shopping experiences, driving higher customer retention and stronger coupon redemption rates.
Pinky 2.0’s new capabilities are grounded in personalized, data-driven insights, allowing independent grocers to serve shoppers with what they need at the right time. Key among the features is the ability to highlight the most relevant coupons for shoppers based on their historical purchase activity and coupon engagement.
A shopper’s behavior – regardless of whether they have used coupons before – is a factor in determining which offers are presented to them. This allows for a hyper-targeted approach to coupon display, ensuring the offers are personalized and aligned with their unique habits.
The collaborative algorithm built into Pinky 2.0, can infer shopper preferences by analyzing behavior patterns across similar customers. The machine-learning technology creates a more accurate picture of what drives purchase decisions, leveraging insights from a collective shopper pool to refine coupon recommendations.
[RELATED: IGA, AppCard Partner To Improve Shopping Experience]
Jeremy Rabe, AppCard’s chief growth officer, expressed his enthusiasm for the new platform capabilities.
“These enhancements mark a transformative moment for independent grocers,” Rabe said. “By tailoring offers and recommendations to individual shoppers based on their behavior and preferences, we’re not just improving redemption rates – we’re enhancing the overall shopping experience. This is the future of personalized retail, and we’re proud to be leading the way.”
With the newly introduced features, independent grocers have the tools to unlock more significant shopper engagement, driving loyalty and maximizing the impact of coupons.
“The collaborative algorithm is a game-changer,” said Assaf Sinvani, AppCard’s VP of research and development. “By factoring in different shopper segments and leveraging data from similar customer profiles, we can predict and cater to a much wider range preferences. This kind of precision is what makes the system stand out in a crowded marketplace.”
Add Comment