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T.M.A.S. Storetraffic is a cloud-based footfall software that provides real-time traffic analytics and reporting. It helps retailers understand sales drivers, optimize staff management, and improve customer experience by connecting POS and staff metrics. It also offers entry/exit data, performance reports, and a unified dashboard for managing multiple locations, enabling data-driven decisions.
T.M.A.S. Storetraffic is a cloud-based footfall software that provides real-time traffic analytics and reporting. It helps retailers understand sales drivers, optimize staff management, and improve customer experience by connecting POS and staff metrics. It also offers entry/exit data, performance reports, and a unified dashboard for managing multiple locations, enabling data-driven decisions.
T.M.A.S. Platforms
iPad
iPhone
Web-Based
Android
T.M.A.S. Video and Screenshots
T.M.A.S. Overview
T.M.A.S. is a powerful cloud-based people counting and analytics platform designed for retailers, malls, libraries, and other public spaces. It provides precise foot traffic data, helping businesses track visitor flow, peak hours, and conversion rates. The system integrates seamlessly with Point of Sale (P.O.S.) systems and staffing metrics, enabling companies to align employee schedules with demand and maximize operational efficiency. Customizable reports offer insights into key performance indicators (KPIs), while real-time monitoring ensures compliance with occupancy limits and enhances crowd management.
The platform supports various counting hardware, including PEARL and 3D SCOPE II LC sensors, ensuring flexibility across different environments. Its mobile app for iOS and Android allows users to configure counters, monitor traffic remotely, and access up to four weeks of data. Automated email reports keep businesses updated, while an intuitive interface simplifies navigation. With its comprehensive analytics, seamless integrations, and user-friendly design, T.M.A.S. helps organizations optimize space utilization, improve customer experience, and make data-driven decisions.