Why Technology Adoption Fails in Retail and How Leaders Fix it

The top reason technology fails in retail has nothing to do with the technology.

Retailers are deploying increasingly sophisticated artificial intelligence, robotics, and analytics platforms, yet nearly 90 percent of AI-powered technology transformations in grocery have not reached scale. These tools stall because the operating model fails to absorb them.

In effect, retailers are buying and installing Ferrari engines in compact sedans. The technology is powerful, but without thoughtful changes to workflows, incentives and habits, it cannot deliver its full potential.

Across the retail industry, the retailers that actually get their money's worth from new technology are the ones that spend as much time teaching people how to use it as they do buying and implementing it.

Change management is the new technology frontier, and six practices consistently separate retailers that succeed from those that stall.

1. Assign clear ownership for adoption.

Ownership and sponsorship matter, while playing different roles. Technology programs move faster when one person is clearly on the hook for results. That means owning the adoption key performance indicators, handling escalations, and keeping different parts of the business aligned.

However, that accountability doesn't mean going it alone. The best leaders in this role are backed by stakeholders from across the organization, even if the buck stops with them.

As one retail executive overseeing a rapid scaling effort put it, “We moved very quickly with our full chain rollout, and that wouldn’t have been possible without a dedicated team looking at this.”

2. Align headquarters before asking stores to change.

The programs that work best get two things in place early: shared KPIs and a common story about why this matters. Without that alignment, store teams end up getting mixed messages about prioritization.

Chandhu Nair, senior vice president for stores, data, AI and innovation at Lowe’s, put it clearly in a recent interview: “This is 70 percent a change management game, 30 percent a technology game.”

3. Measure behavior, not just task completion.

In some cases, retailers see strong task completion rates at the beginning of a rollout only to discover that actions are delayed, inconsistent, or performed simply to clear queues. Shelf issues may be marked as resolved in systems while actual shelf conditions remain unchanged.

This is the difference between activity and execution.

Without that visibility, retailers can be misled when dashboards look healthy while operational outcomes remain flat. Research has shown that the majority of technology’s value depends on effective change management. The tool alone doesn't drive the return. The way the organization absorbs and acts on the insight does.

4. Design around store workflows.

Store teams operate within fixed rhythms such as truck deliveries, replenishment cycles, and staffing windows. When insights arrive out of sync with those rhythms, even accurate data can lose credibility.

At one retailer, out-of-stock alerts were surfacing before certain aisles had been stocked for the day. By adjusting scan paths so that slower-to-stock categories were scanned later, alerts aligned with real workflow timing. Confidence in the system increased immediately.

5. Scale through peer leadership in the field.

Field adoption is won through influence, not mandates.

As programs expand, the retailers seeing the strongest results are the ones leaning on respected store leaders or the people who model behavior, coach peers, and bring feedback up the chain.

Shifting from hard targets to peer comparisons sparks healthy competition — even among stores already performing well.

Headquarters can set direction, but peers carry the message across the finish line.

6. Tailor the value story by audience.

Senior leaders typically evaluate technology through metrics such as availability, pricing accuracy, and growth. Store teams evaluate differently. Does this make my day easier? Does it help me prioritize?

As Adrian Salazar, director of workforce management at Schnuck Markets, shared about its store technology, “We’ve been able to reduce the hours our talent spends on certain tasks and get those teammates back to managing the department, working with customers, and training our team.”

Adoption is a Core Capability

Companies with above-average capabilities in technology adoption achieve up to 2.9X total shareholder return compared to peers. The differentiator goes beyond the robot's sophistication. It is really all about the sophistication of the rollout.

Having worked alongside retailers through pilots, full-chain rollouts, and multiyear optimization journeys, one lesson stands out: the organizations that win treat adoption as a core capability.

The rest remain in pilot mode.

Benjamin Bond is senior vice president of strategy and client success at Simbe, the leading provider of Store Intelligence™ solutions that increase retailer performance through proprietary computer vision and AI.