OP Retail provides an AI-powered people counting and store inspection solution that utilizes Re-identification technology to monitor customer flow while ensuring data privacy. This technology delivers real-time insights on foot traffic, dwell times, and operational efficiency, enabling retailers to optimize their store performance and enhance customer experiences.
Funding
Funding not disclosed
Founders
Product
Problem
Retailers often struggle to gain comprehensive insights into store performance due to limitations in traditional people counting methods and manual inspection processes. Existing systems may lack accuracy, fail to protect customer privacy, and provide limited data on customer behavior and operational efficiency. This lack of real-time, actionable intelligence hinders retailers' ability to optimize store layouts, staffing levels, and marketing strategies.
Solution
OP Retail provides an AI-powered smart retail solution that leverages re-identification technology to deliver real-time insights into customer traffic, behavior, and store operations while ensuring data privacy. The platform combines accurate people counting, heatmap analysis, and AI-powered event detection to provide retailers with a comprehensive understanding of their store performance. By analyzing customer flow, dwell times, and other key metrics, retailers can optimize store layouts, staffing, and marketing efforts to improve customer experiences and increase sales. The system also offers intelligent store inspection capabilities, including shelf monitoring and anti-theft solutions, to enhance operational efficiency and reduce losses.
Target Audience
The primary target audience includes retail stores, shopping malls, and event & exhibition organizers seeking to improve store performance, enhance customer experiences, and optimize operational efficiency through data-driven insights.
Features
- Accurate people counting using ReID (Re-identification) technology that identifies shoppers by clothing and body shape without using facial recognition
- Heatmap analysis to visualize customer traffic patterns and identify high-traffic areas within the store
- AI-powered event detection to identify and alert staff to abnormal behavior, such as smoking or potential theft
- Real-time queue length monitoring to optimize staffing levels and reduce customer wait times
- Shelf monitoring with 16MP ultra HD cameras and AI-powered analytics to detect stockouts in real time
- Comprehensive reporting dashboard with customizable data comparisons across multiple stores
- Seamless integration with existing hardware and POS/ERP systems through open APIs
- Mobile app for accessing live video and past recordings, as well as generating real-time and periodic reports
- Data privacy compliance to ensure customer data is protected