AI-Powered Store Display Review

A retail operations platform used to manage store locations, communications, and brand standards was under pressure to incorporate AI into its workflows.

One of the most time-sensitive bottlenecks for their customers was managers manually reviewing photos of in-store product displays and providing feedback to ensure they matched brand standards. This process was manual, inconsistent, and often too slow to be actionable across large brands with many store locations.

Our client needed a way to apply AI meaningfully, without disrupting existing workflows or introducing unnecessary risk into a production system.

We began by rapidly developing a lightweight prototype using AI, allowing the team to validate the use case and demonstrate value in a short timeframe.

The prototype demonstrated that AI could:

Once validated, we transitioned to a production-ready implementation. This involved:

• Flexible architecture to ensure we're not locked to a single AI model or vendor
• Future AI planning for upcoming capabilities and feature expansion
• Workflow integration embedding the feature into existing user workflows
• Human-in-the-loop allowing managers to review, edit, and approve AI-generated feedback before it was shared
• Usage guardrails to manage usage and control AI costs
• Output validation against real-world, variable inputs

After validation and planning, the feature was developed and integrated into the existing system quickly (within a two-week development sprint), with a controlled rollout using feature flags.

The introduction of AI-assisted review improved both speed and consistency in how store displays were evaluated.

Teams were able to:

• Reduce turnaround time for feedback
• Standardize responses across locations
• Scale review processes without increasing manual effort

By keeping managers in control of final outputs, the system balanced efficiency with accountability, ensuring feedback remained accurate and aligned with brand standards.

The feature was successfully deployed to lighthouse users, allowing for ongoing iteration and refinement, and broader rollout.

"We were under pressure to incorporate AI into our product. Iversoft helped us move from concept to a working feature quickly, while addressing the realities of our business — how it fits into our existing workflows, how outputs are validated, and how to manage cost and scale. The result wasn't just a prototype — it was a solution ready for real customers."

Nick Bialaszewski CTO, ReStore for Retail