Consumers aren’t abandoning deal-hunting—they’re upgrading it. New survey data indicates that artificial intelligence is quickly becoming a core tool for price discovery, reshaping how shoppers evaluate promotions and how retailers must execute them. The shift signals a broader change in retail technology: promotions are no longer just about how much you discount, but how intelligently those discounts are delivered.
According to the 2026 Retail Promotions Study from XCCommerce, more than 70% of consumers are already using—or actively exploring—AI tools to find better deals. That level of adoption places AI-assisted shopping firmly in the mainstream.
Control Matters as Much as Convenience
While enthusiasm for AI is strong, it is not unconditional. The survey reveals a nuanced consumer mindset:
10% say AI makes shopping easier and more convenient outright.
42% are open to AI only if they retain control over preferences and decisions.
This distinction is critical. Shoppers want AI as a co-pilot, not an autopilot. From a retail tech perspective, that means transparency, explainable recommendations, and clear opt-in controls are becoming table stakes—not optional features.
Discounts Still Drive Decisions—AI Just Finds Them Faster
Despite advances in personalization and predictive analytics, the core motivator remains unchanged: price.
79% of shoppers say a percentage-off or money-off discount is the most compelling reason to complete a purchase.
46% admit they buy more than planned—or experiment with new brands—when redeeming an offer.
These behaviors underscore what XCCommerce calls the “critical role of incentives.” AI doesn’t replace discounts; it amplifies their visibility and relevance. For retailers, this raises the stakes on promotion accuracy, timing, and consistency across channels.
Loyalty Programs: High Expectations, Low Emotional Pull
The study also exposes a gap between what consumers expect from loyalty programs and what actually drives loyalty:
75% expect loyalty programs to feel personalized.
Yet only 13% cite personalization as a primary reason they stay loyal.
82% join primarily for tangible savings or rewards.
The takeaway is blunt: personalization without clear economic value doesn’t move the needle. Loyalty tech must connect relevance to real savings, not just tailored messaging.
Data Sharing Is a Trade—Not a Given
Consumer openness to data sharing is rising, but it’s transactional:
52% are willing to share personal data if it leads to a better shopping experience.
This reinforces a broader industry trend: trust is now a performance metric. Retailers that use data responsibly and visibly improve outcomes—such as better deals or smoother journeys—will gain permission to go deeper. Those that don’t risk backlash.
Execution Is the New Competitive Edge
As Danny Rosenoff explains, shoppers define a “good deal” as a balance between quality and price. The implication for retailers is operational: promotions must be generous and flawlessly executed across every touchpoint—from mobile apps and websites to in-store systems.
In practice, that means tighter integration between AI engines, pricing systems, inventory visibility, and customer data platforms. A broken promotion is no longer just a missed sale—it’s a credibility problem.
What This Means for Retail Tech in 2026
Three signals stand out:
AI-driven deal discovery is now a consumer expectation, not a novelty.
Control and transparency will determine adoption, especially as AI recommendations scale.
Promotions are becoming a systems challenge, not just a marketing one.
As the full 2026 Retail Promotions Study is set to be released on Feb. 1, 2026 in partnership with the National Retail Federation, one conclusion is already clear: retailers that treat AI as a surface feature will fall behind. Those that integrate it deeply—without alienating consumers—will define the next phase of digital commerce.
This article references data and reporting from[ChainStoreAge]