Retail Space Analytics:
Retail Space Analytics uses AI to analyze foot traffic and optimize tenant mix in shopping centers. It enhances shopper experience, increases revenue potential, and improves space utilization.
Business Challenge
- Inconsistent foot traffic patterns
- Limited insights into tenant performance and store placement
- Inefficient marketing and promotional campaigns
- Underperforming stores impacting overall revenue
Our Approach
- Foot traffic analytics using cameras, Wi-Fi signals, and POS data
- Tenant mix optimization analyzing sales, traffic, and demographics
- Heat maps and dashboards for real-time monitoring
- Scenario simulations to optimize store placement and promotions
Implementation Process
- Data collection from sensors, POS, and demographics
- AI-driven foot traffic and sales prediction models
- Pilot testing in high-traffic zones
- Full rollout with management dashboards
Quality Assurance
- Continuous monitoring of foot traffic and tenant sales
- Alerts for underperforming stores or zones
- Cross-functional review sessions for marketing and operations teams
- Iterative updates to AI models based on real-world performance
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