AI-Powered Retail Analytics System
Simon approached us with a groundbreaking request
Project Overview
The client wanted a smart AI system to help retailers better understand customer behavior and improve store operations. The goal was to track foot traffic, measure how long customers stay, distinguish between staff and shoppers, and analyze movement patterns in real-time. The system needed to be highly adaptable, with the ability to integrate advanced analytics like heatmaps, purchase prediction, theft detection, and suspicious behavior tracking to enhance security and optimize store layouts.
Our Contribution
🎯 Developed an AI-powered retail analytics system for real-time customer behavior tracking. 🎯 Implemented people counting to monitor store entry and exit numbers. 🎯 Created a dwell time tracker to measure how long customers stay in different areas. 🎯 Designed a unique identification system to distinguish customers from staff.
Our Contribution
🎯 Built movement tracking and heatmaps to analyze foot traffic flow. 🎯 Integrated real-time alerts for security, theft detection, and shoplifting prevention. 🎯 Enabled purchase prediction analytics to help retailers personalize customer experiences. 🎯 Designed a scalable and flexible system that can be customized for retail stores, offices, and restaurants
KEY FEATURES
Tool & Technologies
Customer Feedback
John Doe
Codetic
Results
The system gave retailers deep insights into customer behavior, allowing them to optimize store layouts, improve staffing efficiency, and enhance customer experiences. With features like heatmaps, foot traffic analysis, and security alerts, businesses could make data-driven decisions that improve sales and security. The real-time AI-powered tracking made the system a game-changer for modern retail operations, helping businesses stay ahead of customer needs.
Deliverables
Customer & Staff Identification System
Built a system to accurately distinguish between shoppers and employees in real-time.
Heatmap & Dwell Time Visualization Tools
Created dynamic heatmaps and tracking dashboards to monitor traffic flow and customer engagement zones.
Security Alert Module
Integrated real-time alerts for theft detection, shoplifting prevention, and suspicious behavior tracking.
Purchase Prediction & Personalization Engine
Developed AI models to forecast potential purchases, helping retailers tailor in-store promotions and layouts.
