How AI-driven site selection guided a global eyewear retailer's UK store strategy

Situation

A global eyewear retailer was planning new store openings across UK markets and required a data-driven framework to select optimal locations. Existing site decisions relied on intuition and limited foot-traffic data, leaving uncertainty around catchment performance and revenue potential.

Approach

• Mobility, demographic, and spend data to map customer catchments and demand signals across candidate UK locations
• Scored each site on footfall, dwell time, demographic fit, and retail co-tenancy against the brand's target customer profile
• Benchmarked candidates against existing high-performing stores to identify lookalike trade areas with strong revenue potential

Impact

• Delivered a prioritized shortlist of UK locations matched to the retailer's target customer and positioning
• Enabled commitment to new openings with quantified confidence in catchment performance
• Repeatable site-selection methodology extendable to future European market expansion