Personalized or Creepy? Getting AI Right in Retail

Retailers are pushing hard to personalize every step of the shopping journey. As the tools get sharper, so does a real challenge: knowing when personalization feels helpful and knowing when it feels like someone is looking over your shoulder. That “creepy factor” shows up the moment shoppers feel observed instead of understood. The ability to anticipate needs is powerful, but it only works when it’s built on clarity, respect, and value customers can see.

Discomfort usually starts when a message feels too precise or comes out of nowhere after mentioning a product in conversation. Shoppers expect retailers to use past purchases or browsing history, but they pull back when a promotion hints at something more intrusive. The reaction is simple: if people can’t tell where the insight came from, they don’t trust it. When messages follow them across devices or appear the moment they walk past a store, personalization stops feeling like service and starts feeling like pressure.

When shoppers think a brand is tracking every move, the experience becomes tiring instead of helpful. Trust fades fast when targeting feels selective or tied to sensitive topics like health, finances or family details. Even when the insight is technically accurate, the lack of transparency makes it feel like a step too far.

Retailers can still deliver strong, personal experiences without crossing that line. One clear example is what the next generation of in-store personalization could look like. Imagine a shopper walking into a store and instantly seeing a few options picked just for them: items in their size, in colors they prefer, in stock, and even on sale. It feels intuitive and helpful because the experience is built around their stated preferences, not guesses. It removes friction without creating a sense of being watched.

A privacy-first approach is the clearest path. When customers choose to share information such as preferences, loyalty details, or purchase history, it creates a foundation they trust. Pairing that with simple explanations of why certain recommendations appear removes the uncertainty that often leads to doubt.

Choice also matters. When people can adjust how much personalization they want, manage the data being used, or opt out entirely, they feel in control. Clear guardrails help reinforce that trust. Limiting sensitive inferences, checking customer feedback, and securing only the data needed for specific use cases creates a safer, more respectful experience. The goal isn’t only to avoid mistakes. It’s to build lasting confidence that deepens loyalty over time.

Personalization earns its place when it delivers real value — saving people time, money or effort. Accuracy on its own isn’t enough. The experiences that stand out in 2026 will be the ones designed to support customers in ways they can clearly understand and trust.

Chris Bartosik is senior director of healthcare, retail, and e-commerce at Concentrix, a global technology and services leader.