Summary
Autonomous robots captured and analyzed in-store shelf images to create a digital twin of retail environments. Cloud-based AI models detected stock gaps, pricing errors, and planogram non-compliance in real time. Insights were converted into prioritized tasks for store associates, improving execution and on-shelf availability. The result was stronger sales performance, higher productivity, and more data-driven retail operations.