Intozi’s AI customer movement analytics solution uses video analytics to map customer paths, journeys, and movement patterns in real time, helping businesses optimize layouts, improve navigation, and enhance customer experience
Key Features
Use AI video analytics to track how people move through a space in real time with AI customer movement analytics.
Understand the routes people take with customer path analysis that reveals popular and overlooked paths.
Visualize customer journeys across multiple locations with customer journey analytics from entry to exit.
Identify recurring movement patterns with movement pattern analysis that highlights common routes and visitor behavior.
Measure movement between zones with customer flow analytics to identify congestion and underutilized areas.
Run analytics on existing cameras across any space, reducing deployment costs and installation time.
Advanced Customer Movement Analytics with AI Video Analytics
Intelligent Movement & Path Analytics
Gain complete visibility into how people move through a space. Continuous analysis reveals popular routes, overlooked areas, and movement patterns, helping teams optimize layouts and improve navigation.
Designed for real-world environments, this AI path analysis software performs accurately across busy spaces, varying lighting, and changing layouts. Powered by deep learning, it delivers consistent, dependable insights without interruptions.
Understand how people move between zones and sections, revealing movement flow and points of friction across the space.
Intozi’s customer movement analysis combines computer vision and edge AI to map customer paths and journeys at scale. Designed for multi-site deployments, it enables centralized movement analytics and operational insights across multiple locations.
Turn movement data into insight with AI customer behavior analytics that reveal movement patterns, engagement levels, and space utilization trends.
Use path and flow insights to redesign layouts, improve signage, and create smoother, more intuitive spaces.
AI Customer Movement Analytics – How Does It Work?
Capture live video from existing cameras
Detect and track people across the space
Map the path each person follows
Analyze movement between zones and sections
Aggregate movement data into journey and flow insights
Generate dashboards and reports for operational insights
Where AI Customer Movement Analytics Adds Value
Reveal shopper paths to optimize store layouts, product displays, and customer engagement.
Understand passenger movement to improve terminal navigation and reduce congestion.
Map visitor journeys to optimize exhibit placement and visitor engagement.
Analyze shopper movement through aisles to improve product placement and store layout.
Track attendee movement to improve navigation and crowd flow.
Understand customer movement to improve queue flow and service efficiency.
Analyze occupant movement to optimize layouts and shared spaces.
Understand guest movement to improve layouts and service efficiency.
Key Benefits of AI Customer Movement Analytics
Optimize layouts based on real customer movement patterns.
Improve navigation with data-driven layouts and signage.
Increase engagement by optimizing high-traffic areas.
Identify movement bottlenecks to improve visitor flow.
Run on existing cameras, reducing deployment costs.
Turn movement trends and insights into optimized layouts and smarter space planning.
Frequently Asked Questions (FAQs)
Customer movement analytics is an AI-powered technology that uses video analytics to track how people move through a space. By processing live camera feeds, it maps customer paths, journeys, and movement between zones, helping businesses understand behaviour and improve layout, navigation, and experience.
AI customer movement analysis works by detecting and tracking people in a live video feeds and recording the path each person follows. The software aggregates this information into journey maps, movement patterns, and zone-to-zone flow insights, revealing popular routes and underutilized areas.
Path analysis reveals which routes shoppers actually take, showing which areas attract attention and which are overlooked. Businesses can use this to reposition displays, improve signage, and redesign layouts around real behaviour, increasing engagement and making navigation more intuitive.
Movement analytics maps how people move through a space, while dwell time analysis measures how long they stay in each area. Together, they provide a complete understanding of visitor behavior.
Yes. Intozi’s customer movement analytics software integrates with existing CCTV, NVRs, and VMS platforms. The AI models run on existing video feeds, so organizations can use their existing infrastructure, making deployment faster, more cost-effective, and scalable across sites.
Ikshana is Intozi’s AI video analytics platform that powers customer movement analytics alongside other analytics and safety modules. It runs AI models on existing camera feeds to map customer paths, journeys, and movement patterns while delivering dashboards and reports through a single platform. Because Ikshana is modular, organizations can scale customer movement analytics across multiple sites and combine it with people counting, crowd analytics, and face recognition in a single system.
