StoreIntel transforms your existing security cameras into a retail intelligence engine — customer analytics, store operations, and actionable insights without installing new hardware.
"What gets counted gets improved."
Multi-Store Dashboards
Cameras Per Store
Detection Accuracy
Continuous Monitoring
Most retailers can't answer basic questions about their own stores. How many people walked in today? What's the conversion rate? Are stores opening on time? You're sitting on thousands of hours of CCTV footage that holds these answers — but it just sits on a hard drive, watched only after an incident.
Staff closing stores during business hours
No one notices until the sales numbers come in
Inflated walk-in reports
Staff exaggerate numbers to justify poor conversion
Marketing campaigns with no ROI measurement
Spent lakhs on ads — no idea if footfall actually changed
Zero visibility into customer demographics
Merchandising decisions based on assumptions, not data
We plug into your existing CCTV infrastructure and install a small edge compute box (NVIDIA Jetson) that processes the video feed locally. Your footage never leaves the premises.
Our CV models detect, track, and classify every person — counting visitors, identifying demographics, mapping movement paths, measuring dwell time, and tracking conversion. All in real time.
Access your web dashboard from anywhere. Filter by store, date, and camera. Daily reports, weekly trends, and automatic alerts for anomalies — all without touching a spreadsheet.
All extracted from your existing CCTV — no new cameras, no manual counting, no guesswork.
Precise walk-in data that excludes staff entries. Know exactly how many customers visited and measure the real impact of every campaign.
Age, gender, and group size of every visitor. Tailor your marketing, merchandising, and staffing to who actually walks in.
See which product zones attract attention and which get ignored. Optimize placement and layout with real spatial data.
Track how long customers spend in each area. Spot high-interest zones, identify bottlenecks, and understand engagement depth.
Walk-ins vs. billed transactions. Find what makes your best days convert and replicate it across every store.
Play targeted content on in-store displays based on who's in the store. Educate, promote, and increase dwell time with personalized media.
Monitor SOP compliance — staff presence, attendance, store cleaning, stock-checking. Automated, not self-reported.
Know the exact minute every store opens and closes. Flag early closures, late openings, and anomalies automatically.
A/B test layouts with real data. Understand how changes affect customer flow, product interaction, and sales.
Every metric accessible through a web dashboard — filter by store, date, and camera. Here's what it looks like in production.
Live camera feeds with color-coded traffic overlays. Per-rack visitor counts broken down by gender, age, and time slot — see exactly where customers go and how long they stay.
Walk-ins vs. purchases tracked daily and weekly. Spot trends and measure what drives sales.
Visitor distribution across 5 age brackets. Daily and day-of-week breakdowns.
Average time in-store by day and gender. Understand browsing patterns to optimize merchandising.
Know exactly when your store is busiest. Optimize staffing and promotions around real traffic patterns.
Based on early deployments — when stores start measuring what matters, improvements follow naturally.
Conversion Improvement
When marketing aligns with actual floor data, campaigns convert better.
Better Staff Accountability
Automated SOP tracking means stores open on time and procedures are followed consistently.
Fewer Returns
Data-driven merchandising leads to better-matched customer expectations.
Conversion Visibility
For the first time, know your actual walk-in to purchase ratio — the starting point for every improvement.
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Read moreWe install a small edge compute box (NVIDIA Jetson) that connects to your existing CCTV cameras. The box processes video locally — your footage never leaves the premises. Analytics are synced to a cloud dashboard you can access from anywhere. No new cameras needed in most cases.
Nine data points: visitor count (excluding staff), demographics (age, gender, group size), store heatmaps, dwell time, walk-in to purchase conversion, in-store media targeting, staff SOP compliance, open/close time tracking, and store layout A/B testing. All automated, all from your existing cameras.
Our person detection and tracking models achieve high accuracy in real-world retail conditions — varying lighting, crowded aisles, and multiple camera angles. Accuracy depends on camera quality and placement, which we evaluate during setup.
Each edge device handles 4+ camera streams simultaneously. The cloud dashboard supports 100+ stores with per-store filtering, date range selection, and comparative analytics. There's no upper limit on the number of stores.
Yes — StoreIntel Lite is free for up to 5 stores and includes basic footfall counting, simple demographics, dwell time analysis, and essential heatmapping. It's designed for small retailers who want to start with data-driven decisions without a large investment.
We handle the AI, the edge hardware, and the dashboard. You get the insights. Works with cameras you already have.