Prodco Analytics Inc.

3D Stereoscopic Traffic Camera with A.I.

Prodco’s 3D camera leverages embedded A.I., high speed 3D video processing, and Bluetooth/Wi-Fi technology to accurately count the number of shoppers entering/exiting an entrance, floor, or a specified zone. Advanced features include tracking shopper behavior such as passer-by and capture rate, first/repeat visitor, shopper dwell time, visit frequency, gender, as well as staff and security guard exclusion and much more.

Multi-Camera Heatmaps

Track shopper paths in real-time throughout the entire store to gain insights into which sections of the store are being visited and how long visitors dwell within each area. Optimize the store layout and increase shopper engagement based on what sections of the store shoppers visit the most.

Prostore Analytics Platform

Measure, benchmark, and drive performance in real-time using the Prostore analytics platform. Prostore provides a deeper understanding of shopper behavior, brand loyalty, customer engagement, and much more.

- Dashboards provide a snapshot of how the store/chain is performing today based on client goals/targets.
- Benchmark the chain’s performance to industry trends by specific category/region.
- Measure service levels and how they affect the average visit duration and bounce rates.
- Integrate POS, sales staff schedules, store goals/targets, along with local store weather and industry trends to deliver a comprehensive analytical reporting solution.

Sales staff/Security guard exclusion

Discrete low energy Bluetooth FOBs and custom badges are used to exclude sales staff and security guards from the total traffic. The BLE radio embedded in our 3D cameras will automatically exclude each member of the sales staff that is carrying the BLE FOBs from any counts they generate as they exit /enter the store. The 3D camera equally excludes security guards that carry the custom badge from creating any additional counts.

Wi-Fi Heatmap

Track shopper paths throughout the entire store using the pings emitted by smartphones to gain insights into which sections of the store are being visited and how long visitors dwell within each area. Optimize the store layout and increase engagement based on what sections of the store shoppers visit the most.