Context: Boosting sales from existing stores is not driven by demand creation, it is determined by how well stores act while demand is already present on the floor.

Challenges: Associates prioritize speed and task completion, managers work against static targets, and promotions run uniformly across locations, while customers hesitate, substitute, or abandon partial baskets in plain sight without anyone accountable for acting on it.

Solution: The Same-Store Growth Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors conversion gaps and basket stagnation as they emerge and intervenes during staff allocation and local offer decisions, flagging local affinity shifts before the selling moment passes.

Impact: Retailers following this approach see stores respond to real customer intent instead of averages, with same-store growth accelerating because execution happens at the point of engagement, not in post-store analysis.