Scalable low-cost in-store tracking system for 15K stores with MVP in 1 month
Location: United Kingdom
ProjectThe client is the world’s largest health and beauty retail group with over 15,000 stores across the globe. We have developed a low-cost in-store customer tracking system that allows viewing the most popular sections of a store, checking how many people are standing at the checkout, and tracking where the employees spend most of the time in the store.
System for 15K
An intelligent IoT solution for tracking store visitors and optimizing employees’ routine
Team of 2 engineers
High-performance team of IoT development experts.
MVP in 1 month
Production-ready MVP for real-time in-store data collection.
Tools and Technologies
No data about in-store customer shopping behavior, inefficient resource allocation
The client needed a low-cost hardware/software solution to track how much time and where employees spend in the store, how customers are walking through the store and what the most popular sections of the stores are to place in-store advertisements.
The in-store tracking system had to be extremely cost-effective, scalable, and easy to use.
A system for tracking customers, returning customers, popular zones, and in-store advertisement
The clients with a chain of health and beauty stores decided to create an intelligent in-store tracking system to be able to collect and process in-store information to lower costs and make smarter data-based decisions.
The client approached Euristiq for a cheap customer tracking solution. The problem was tracking the number of people waiting in the queue for the checkout. Knowing the number of people in the queue and understanding where the employees spend most of the time around the shop gives valuable information for workforce optimization and improving customer satisfaction.
We went with ESP32 firmware that tracks WiFi/Bluetooth devices and sends data to the server for post-processing. Then, we developed a system that stores and processes data about customers from the ESP32 devices and displays the information to the end-user.
We also created an inexpensive simple device that anyone can plug into the socket, and it will automatically start collecting and sending data to the server.
Solution that improves customer experience and optimizes employees’ routine
The result was a low-cost in-store customer tracking system that gave the client loads of analytic data they can use to improve customer experience and optimize employees’ routine.
The system allows viewing the most popular sections of a store, checking how many people are standing at the checkout, and tracking where the employees spend most of the time in the store.