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
🎯 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.
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.
KEY FEATURES
Tool & Technologies
Customer Feedback
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Codetic
Results
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Deliverables
People Counting & Dwell Time Tracker
Monitors store entries/exits and calculates how long customers stay in each section to uncover engagement trends.
Heatmaps & Foot Traffic Analysis
Visualizes crowd movement to optimize store layouts and improve product placement strategies.
Theft & Suspicious Activity Detection
Delivers instant alerts for unusual behavior, helping prevent loss and increase in-store safety.
Purchase Prediction & Personalization Engine
Analyzes behavior patterns to forecast buying intentions, helping businesses tailor marketing and experiences.
