Send us a text

"This is the next generation AI-powered convenience store that will become the standard."
When Lawson and KDDI made this bold claim about their Real Tech store in Tokyo, we had to see it ourselves. As AI implementation practitioners, we learn as much from ambitious attempts as we do from polished successes.
The press releases promised, 14 AI cameras for personalized recommendations, intelligent avatars, robot food prep, adaptive shopping experiences.
Unfortunately, what we found was No camera disclosure, "AI avatar" was a human on video call, branded Roomba, staff manually counting inventory beside computer vision equipment, non-interactive screens, zero personalization.
We spoke English to the "smart avatar." It replied, "A little." That's when we realized we were talking to a person, not AI.
This isn't about criticizing Lawson or KDDI, they tackled an impossible challenge. Japanese convenience stores are already efficiency masterpieces.
The promise gap between AI marketing and AI reality is widening across industries.
Three Critical Insights
1. Marketing promises can sabotage good work. Customers felt misled by "AI-powered" experiences that were actually human-powered—even though human solutions might be better.
2. Integration trumps innovation. 14 cameras don't automatically create personalized experiences. The hard work is connecting cameras to inventory systems, recommendation engines, and displays in ways that actually help customers.
3. Expectation management matters. When you promise "the future," customers expect something genuinely different from everywhere else.
The technology exists: facial recognition for greetings, real-time inventory tracking, gaze detection, automated checkout. The challenge isn't capability, rather it's system integration and user experience design.
Here's Four Implementation Guidelines
1. Start with specific friction. Not "AI-powered store," but "What customer problems can technology solve? Long lines? Product discovery? Language barriers?"
2. Test quietly, announce loudly. Build it, validate it works, then tell people. Order matters.
3. Be honest about automation. Customers handle knowing humans help remotely. They can't handle feeling deceived.
4. Under-promise, over-deliver. Surprise beats disappointment every time.
Lawson and KDDI deserve credit for pushing boundaries publicly. Most companies play it safe.
But their experience reminds us that customer trust comes from honest, valuable experiences and not impressive press releases.
The future of retail will involve AI. But it'll be shaped by companies solving real customer problems, not showcasing impressive technology.