AI Foot Traffic Prediction
The Problem
“Predict foot traffic to optimize real estate decisions”
Organizations face these key challenges:
1
Uncertain foot traffic projections lead to mispriced leases, higher vacancy, and weaker tenant performance
2
Manual counts and consultant studies are costly, slow, and not scalable across many assets or markets
3
Traditional methods fail to account for rapid changes (construction, transit disruptions, weather anomalies, new competitors, events), causing forecasts to become stale
Impact When Solved
More accurate site selection and underwriting with location-level traffic forecasts and confidence bandsFaster leasing and tenant-mix decisions by identifying high-potential zones, days, and hours for activationImproved portfolio performance through proactive interventions (marketing, events, amenities) tied to predicted traffic shifts