Development of retail shopper behavior data collection and analytics system
Our customer is a consulting company that specializes in the development and implementation of BI systems for retailers.
Their first proprietary product is a decision support system based on retail shopper behavior analysis. This packaged solution is made up of Wi-Fi sensors. The sensors are installed in retail outlets and collect statistics about retail visitor behavior. The information is collected by passive monitoring of the shoppers’ Wi-Fi gadgets (smartphones, pads) within a 2.4 GHz range. Signal intensity and detection times are recorded as well as the shopper’s system-generated unique device ID.
This cloud software for retail analyzes the collected data and converts it into detailed and multi-dimensional reports that assess the shopper behavior in various analytical datasets:
- Visit duration – the time spent by shoppers in the retail outlet
- Capture rate – actual visit percentage of the total number of shoppers
- Loyalty – follow-up call analytics
- Bounce rate – percentage of shoppers who left without making purchases
- Outlet heatmap – concentration of retail shopper traffic.
The client selected First Line Software as its technology development partner. First Line Software developed the cloud-based retail software solution and performed the Development of retail shopper behavior data collection and analytics system testing. Technologically, the monitoring system consists of Wi-Fi routers with advanced weaving, a server collecting and processing the data and a web application which transmits the data and reports to the user. As part of the project, various types of Wi-Fi routers were tested and the most appropriate equipment was selected. Interaction between the sensors and software was developed. Additional functionality was developed: delivery of ads in the form of text messages to subscribed shoppers who pass by the retail outlet and tracking of the staff and business hours for each retail outlet.
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