How AI-driven analytics shaped the community retail strategy for a master-planned development in Riyadh

Situation

A real-estate developer leading one of KSA's flagship master-planned communities required a data-driven framework to plan retail offerings as the community matured. Challenges spanned sizing retail capacity, defining category mix, and locating outlets to serve a rapidly growing resident base.

Approach

• Mobility, spend, and visitation data to map resident behavior, demand patterns, and current spend leakage to off-community retail
• Modeled trade-area dynamics, walkability, and category-level demand to size and locate retail nodes within the community
• Benchmarked against analogous KSA communities to identify high-conversion retail formats and tenant mixes

Impact

• Quantified residual demand leaking outside the community, revealing the addressable on-community retail opportunity
• Evidence-based store-format and location-suitability recommendations to guide leasing and capital allocation
• Repeatable framework now extensible to the developer's other master-planned communities