How AI flagged cannibalization risks for a global F&B brand's store strategy

Situation

Client planned to expand its store network but faced uncertainty around cannibalization between new and existing locations. Goal: grow without hurting established stores.

Approach

• AI-powered analytics on customer journeys, footfall, spend
• Modeled scenarios to find trade-area overlap and quantify cannibalization
• Optimized site selection and network configuration

Impact

• Flagged high-risk locations and protected revenue at established stores
• Evidence-based decisions on expansion and placement
• Sustainable growth while maximizing network performance