People Counting — AI Footfall & Retail Analytics
People Counting - GENUINE AI TECHNOLOGY is an AI footfall analytics platform for retailers and shopping centers
People Counting - GENUINE AI TECHNOLOGY provides real-time footfall analysis by transforming existing CCTV infrastructure into intelligent monitoring sensors. This tool is designed for retail owners, shopping center managers, and commercial real estate developers who need precise data on visitor volume and movements. By leveraging advanced video analytics, the software enables businesses to understand peak hours and customer flow without requiring expensive hardware overhauls. The platform stands out by offering remote installation and custom calibration for every unique site setup to ensure data integrity. People Counting - GENUINE AI TECHNOLOGY delivers a performance assurance of over 95% accuracy, making it reliable for high-stakes business decisions. Users can access detailed reports that help in adjusting staff schedules, evaluating the success of marketing campaigns, and refining store layouts for better conversion. Verified on surfai.app, this solution helps retailers transition from guesswork to data-driven management. It identifies high-traffic zones and bottlenecks, allowing for optimized occupancy management and improved safety protocols. Whether managing a single boutique or a national chain, the software provides the necessary granularity to increase physical store efficiency. The system is compatible with most standard IP cameras, reducing the barrier to entry for businesses with existing security systems. Pricing is typically structured around the number of entry points or cameras monitored, with custom enterprise quotes available for large-scale deployments.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | Milestone Systems, Genetec, Hikvision, Dahua Technology, Power BI, Tableau |
| Best for | retailers, mall-operators, operations-managers, marketing-teams |
| Website status checked | 2026-10-23T12:01:39.48+00:00 |
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