Transform your Retail Store using AI-Powered Retail Video Analytics
Boost conversions by 45% and Average Order Value by 16% – using cameras you already own
Trusted By Leading Companies
100+ Brands
100K+ Cameras
10M+ Alerts
200+ Use Cases
Key Features of Retail Video Analytics
See it live in your store's footage
Quick and Easy Implementation
Plugs into existing CCTV Infrastucture
What Agrex.ai Delivers for Retail Stores
📈 Grow Revenue
Reveal what converts—heatmaps, dwell time and path flows show where to place high-margin SKUs.
Fix drop-offs in real time with queue prompts and staff re-allocation.
Includes: People Counting • Heatmaps & Dwell Time • Queue Analytics
♻️ Reduce Shrinkage & Risk
Detect suspicious behavior (unattended items, concealment, repeat offenders) and cash-counter anomalies.
Enforce policy with guard presence, restricted-area and after-hours Intrusion alerts.
Includes: Theft/Intrusion Alerts • Cash Counter Monitoring • Tampering Alerts • CCTV Health Monitoring
💯 Optimize Operations
Right-staff, right time—predictive queues open counters before lines form.
Shift discipline & SOP checks—opening/closing, staff presence, housekeeping.
Includes: Staff Presence & Attendance • Opening/Closing Verification • Compliance Dashboards • Multi-store Benchmarking
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Retail Video Analytics
Retail video analytics is a powerful tool that can help businesses gain insights into customer behavior and preferences.
- Guesswork on customer preferences → Data-driven insights
- Reactive decision making → Proactive decision making
- Basic foot traffic counting → Advanced behavior analytics
- Intuition-based decisions → Real-time intelligence
- Manual monitoring → Automated AI surveillance
Make Your Store A Smart Store
Case Study: Converting Footsteps into Sales for a Leading Footwear Retailer
A multinational footwear chain with 1800+ high-street stores wanted to transform raw CCTV footage into data-driven decisions. Traditional manual audits showed growing gaps between store traffic and actual shoe purchases, but managers lacked real-time insight. The retailer adopted Agrex.ai’s retail video analytics suite—deploying People Counting, Passerby Counts, Demographics, Staff Exclusion, Dwell Time tracking and Shoe-Trial detection—across its flagship outlets.
Solution implementation
People Counting & Passerby Counts pinpointed the true conversion funnel: how many pedestrians looked in, walked through the door and reached the fitting zone.
Demographic analytics revealed age- and gender-wise demand, letting merchandisers spotlight trending styles for each cohort.
Staff Exclusion algorithms separated employees from shoppers, delivering accurate, management-ready KPIs.
Dwell Time heatmaps exposed cold corners and bottlenecks, while Shoe-Trial sensors measured every try-on event—a direct proxy for buying intent.
All metrics streamed into a live Agrex.ai dashboard, accessible on tablets by store leads and on a central command screen at HQ.
Results in 180 days
+14 % average footfall after window displays were rebuilt for segments with the highest passer-by-to-entry ratio.
+18 % conversion rate driven by relocating top-selling SKUs to zones with longest dwell time and highest trial counts.
-26 % billing queue time once staffing was rescheduled to match hourly foot-traffic peaks identified by People Counting.
+11 % customer satisfaction (post-purchase survey NPS) thanks to faster service and more available sizes.
3-month ROI: the system paid for itself in eleven weeks through incremental revenue and labour savings.
Why it worked
Retail video analytics replaced guesswork with granular truths: every entrance, every trial, every lingering minute on the shop floor. By knowing precisely who entered, when they engaged and what they tried, the chain aligned staffing, merchandising and marketing in near real time. Executives now run weekly “data walk-throughs,” filtering the Agrex.ai dashboard by city, store size and demographic, then rolling best practices network-wide.
Key takeaways for footwear retail
Deploy people counting software first—clean traffic data underpins every KPI.
Layer dwell time and shoe-trial analytics to expose product-level friction.
Use demographic insights to personalise window creatives and digital campaigns.
Let staff exclusion protect data integrity and reveal true labour needs.
If your footwear, apparel or sportswear brand wants the same results, book a Retail Video Analytics demo today—schedule a call with Agrex.ai now.