1 min read
6 Mystery Shopping Programs Every Multi-Location Retailer Needs
Consistency is one of the hardest things to maintain in retail. Even with clear standards, two stores under the same brand can feel completely...
8 min read
Sarah Beckett
June 27, 2026
Retail technology trends are moving quickly, but shoppers are not asking for innovation for its own sake. They want faster trips, clearer value, easier loyalty rewards, more useful digital tools, and enough human support to feel confident when something goes wrong.
That balance matters for every retailer testing AI, self-checkout, just-walk-out technology, app-based loyalty, gamified rewards, or in-store digital advertising. A new tool can remove friction, but it can also create fresh questions: Will I be charged correctly? Can I still see my total? Is the app required? Who helps me if the system fails?
We surveyed 1,280 consumers across the US to find out their preferences for in-store retail technology. The findings point to a clear lesson for multi-location retailers: the best retail technology earns trust before it asks shoppers to change behavior.
The survey data adds useful color behind that message. It shows that many shoppers are willing to try newer tools, but adoption rises fastest when the experience is easy to understand, easy to recover from, and useful in a real trip.
Click the button below↓ to download the infographic with the data summary, or keep reading for a closer look at the key findings.
The most important retail technology trends in 2026 are AI-assisted shopping, choice-based self-checkout, just-walk-out checkout, mobile-accessible loyalty programs, gamified rewards, and in-store digital advertising. Each trend can improve the shopping experience when retailers make it fast, transparent, easy to use, and measurable across locations.
That last part is where many rollouts struggle. A concept may test beautifully in a lab or demo store, then stumble when real shoppers are in a hurry, associates are stretched, signage is unclear, or the technology behaves differently across locations.
Deloitte's 2026 retail outlook adds useful context: value-seeking shoppers are weighing more than price, with quality, service, checkout ease, loyalty programs, and employee interactions influencing how they perceive value. The practical takeaway is simple. Technology should make value easier to feel, not harder to find.
AI in retail has moved from the operations room into the shopping journey. Customers now use AI tools to research products, compare options, plan purchases, and get recommendations. In Consumer Perception Survey on Retail Technology, 44.1% of consumers said they had used AI technology while shopping online.
The growth is not limited to the youngest shoppers. Our data showed the largest increases among ages 35-44 and 45-54, while AI usage among ages 65-74 more than doubled. That makes AI adoption less of a youth trend and more of a broad customer expectation that is still forming.
Among consumers who had used AI while shopping online, 65.2% described the experience as positive and 31.4% called it neutral. Their most common uses were practical: researching products, comparing brands, summarizing reviews, building shopping lists, and finding deals.
The non-user responses are just as important. Among those who had not tried AI while shopping online, 43.4% said they did not know how to use it, 29.5% cited privacy concerns, and 23.7% said the retailers they shop with do not offer it. Education, transparency, and availability are still adoption levers.
For retailers, the opportunity is not simply to add a chatbot. AI should help customers make confident decisions: finding the right size, comparing products, checking availability, understanding promotions, and getting support without waiting. Retailers are shifting from AI experimentation to execution, with AI-driven personalization becoming a priority for many retail executives.
Chatbots deserve the same practical lens. According to our survey data, 42.5% of consumers had used a chatbot on a retailer's website, and 73.9% of those users said a chatbot can meet their needs. The risk is trust. If AI recommendations feel opaque, irrelevant, or disconnected from in-store inventory, the experience can quickly feel gimmicky. Retailers should make AI assistance transparent, easy to verify, and connected to the same data customers and associates rely on in the store.
Self-checkout is not going away, but the conversation has matured. The stronger question is not whether self-checkout is good or bad. The better question is when it improves the trip, for which shoppers, and under what operating conditions.
The customer perception survey data shows why choice matters. Overall, 43.8% of consumers prefer self-checkout, 37.1% prefer checking out with a cashier, and 19.1% have no preference. Among shoppers who prefer self-checkout, 50% said it is quicker, 26% said it helps them avoid employee interaction, and 22% said they like packing their own bags. Speed and control are the value proposition.
Cashier lanes still matter, especially when shoppers have larger baskets, coupons, age-restricted items, pricing questions, accessibility needs, or a preference for human service. Removing too much support can turn efficiency into frustration. Interestingly, some studies have shown that customers who prefer regular checkouts tend to be more loyal to a store and more likely to return.
Loss prevention also belongs in the discussion. NRF reported that retailers saw an 18% increase in average annual shoplifting incidents in 2024 versus 2023, with threats or acts of violence during theft events also rising. For self-checkout, the answer is not just more surveillance. Retailers need clear prompts, trained associates, friendly intervention standards, and data that separates honest confusion from intentional loss.
The best self-checkout programs feel optional, well-supported, and easy to recover from when something goes wrong.
Just-walk-out technology promises the cleanest version of retail convenience: take what you need and leave without scanning at a kiosk. The appeal is obvious, especially for high-frequency trips in grocery, convenience, travel, and campus retail.
Consumer comfort is still catching up. In 2026 retail technology perception survey data survey data, 23.5% of consumers had used just-walk-out or sensor-based basket technology, while 19.1% were not aware of it. Among users, 72.8% said it was easy to use. That is a promising experience signal.
The trust gap remains real. When asked how they would feel about using just-walk-out technology, 28.9% were positive about the speed, but 25.5% were cautious about being charged for items they did not take and 20.7% were skeptical because they prefer to see their total as they scan.
That concern should shape the rollout. Shoppers need visible running totals, easy receipt review, fast dispute resolution, clear signage, and associate support near the experience. Retailers should also test whether customers understand what data is being used, how payment works, and what happens if the system makes a mistake.
Convenience only feels convenient when customers feel in control.
Retail loyalty programs are one of the strongest bridges between digital engagement and in-store behavior. The 2026 retail technology trends survey data found that 71% of consumers belong to at least one retail loyalty program.
The friction sits in access. If a loyalty program requires an app, some customers will still join, but others will opt out. Our insights showed that 44% of consumers would refuse to participate in a program that was not accessible on their phone, highlighting a subtle but important point: app access can be a barrier for some shoppers and a requirement for others.
The strongest loyalty experiences give customers options. A shopper may want app access, phone-number lookup, wallet integration, receipt-based offers, email preferences, or associate help at checkout. Retailers should make enrollment fast, rewards easy to understand, and privacy choices plain.
Personalization can add pull when it feels useful. Our survey found that 45.9% of consumers said they were very likely to join a loyalty program offering personalized rewards based on shopping habits. Also, 59.5% said they are more likely to choose a brand over a competitor if it has a loyalty program.
Loyalty should feel like recognition, not homework.
Gamification is moving from quick-service apps and coffee rewards into broader retail. Done well, it gives shoppers a reason to choose one convenient or grocery store over another through streaks, challenges, instant-win offers, personalized milestones, or limited-time rewards.
53.4% of consumers said game-based rewards would motivate them to visit a convenience store or grocery store more often, and 53.0% said that if two convenience stores were equally convenient, they would choose the one offering an app with fun challenges and prizes. The effect is especially strong among ages 35-44, where 67.6% said they would choose the store with the game.
Timing and reward design matter. The most common engagement moment was at home while planning a grocery list or the night before. The strongest reward categories included free food or drink items, points toward a larger reward, exclusive discounts or coupons, instant-win prizes, and cents off per gallon of gas.
The execution bar is higher than it looks. Gamification can backfire if offers are confusing, rewards are hard to redeem, or associates cannot help when a digital reward fails at checkout. Retailers should mystery shop these journeys like any other customer experience: sign up, complete the challenge, redeem the reward, and test what happens when the system hiccups.
Retail media networks are becoming a major business priority, and physical stores are an increasingly attractive media channel. Screens, kiosks, shelf displays, and app prompts can connect brand messages to shoppers near the moment of purchase.
The shopper response is mixed. Our 2026 survey found that 51% of consumers say in-store digital advertising has no impact and they do not pay attention to it. Still, 41% said they bought something as a result of digital advertising seen in a grocery or convenience store, while 12% said they had not seen digital ads in those environments.
That combination is useful. It suggests in-store media can influence purchases, but only when the content is relevant, visible, well-placed, and tied to a real shopper need. Generic screen clutter is easy to ignore. Timely offers, clear pricing, product discovery, and contextual reminders have a better chance.
According to our insights, consumers were most likely to call large digital displays outside the store, gas-pump screens, and personalized in-store phone offers helpful or influential. Checkout screens ranked lower, suggesting that the best media placement may happen before the customer is mentally finished with the trip.
For operators, the key metric should be whether customers notice, understand, and act without feeling interrupted.
Retail technology can improve the shopping experience, but only when it works for the people using it.
The strongest retail programs will combine digital convenience with human confidence: fast checkout plus support, AI plus transparency, loyalty plus accessibility, gamification plus easy redemption, and media plus relevance.
Intouch Insight's CX solutions for retail help teams measure how technology contributes to the customer experience across every store, then turn those insights into practical improvements.
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