Unlock Supermart Optimization with Agrex.ai
How a leading national supermart chain transformed layouts, customer journeys, and revenue per square foot using AI-powered video analytics
Book a Free DemoThe AI-Powered Advantage in Supermart Retail
The physical supermart floor is the last frontier of retail data. A leading national supermart chain recognized that its sales growth was plateauing due to reliance on traditional, static merchandising strategies and a lack of real-time insights into customer behavior. Agrex.ai’s video analytics platform transformed their existing CCTV infrastructure into a dynamic business intelligence tool — accurately mapping the anonymous customer journey and identifying true product engagement. Learn more about retail video analytics solutions and how they reshape the supermarket industry.
Overcoming Retail Blind Spots
The supermart chain was losing revenue because critical merchandising and layout decisions were based on intuition rather than data. Four key blind spots were undermining sales performance and customer experience.
Inefficient Layout
High-cost floor space was wasted in “dead zones” with low foot traffic or product interaction, reducing overall Revenue Per Square Foot (RPSF).
Sub-Optimal Merchandising
High-margin impulse items, though well-stocked, were underperforming because their placement relied on intuition rather than empirical data.
Customer Friction
Congestion at key points like checkout and popular displays led to frustration, missed sales opportunities, and basket abandonment.
Inability to A/B Test
There was no efficient, data-backed method to test new display concepts or layout changes across multiple stores.
Real-Time Shopper Intelligence with AIVIS
Agrex.ai implemented its AI-powered video analytics solution across the pilot supermart locations, focusing on three core computer vision capabilities. The platform transforms existing CCTV cameras into intelligent sensors — no new hardware required. See how another retailer used AIVIS to optimize store operations with similar results.
Heatmap & Dwell Time Analysis
AI models process video feeds to generate heatmaps, visually representing hot spots and cold spots. The system calculates zone-wise footfall counts and tracks average dwell time for every section and product category — differentiating between mere pass-by traffic and genuine product engagement. Research from IGD Retail Analysis confirms that data-driven store layout optimization can significantly improve customer conversion and basket size in grocery retail.
Conversion Funnel Analysis
Defines a multi-stage customer journey funnel within the supermart, tracking anonymized shoppers from store entry through interest (2+ min dwell), engagement (10+ min dwell), and product interaction stages. This precisely quantifies conversion rates for marketing and merchandising efforts, allowing the retailer to optimize product placement based on observed customer attention.
Queue Management & POS Tracking
Monitors the final transaction phase by tracking conversion and efficiency at the Point of Sale — from customers entering the checkout area, to successful billing, to those who abandoned without completing a transaction. Real-time metrics on queue lengths and wait times enable managers to proactively staff checkout lanes and minimize basket abandonment. Want to optimize your supermart? Talk to our team about implementing AIVIS.
Core AIVIS Modules for Supermart
| Module | Functionality |
|---|---|
| Heatmaps & Flow Analysis | Visual traffic pattern mapping for layout optimization, dead zone identification, and inter-zone performance benchmarking |
| Dwell Time Analytics | Customer engagement measurement across zones and product categories with time-based interaction scoring |
| Conversion Funnel Tracking | Multi-stage customer journey analysis from store entry to purchase, with drop-off point identification |
| Queue Management | Real-time checkout monitoring with automated alerts when wait times exceed thresholds (e.g., 2-minute wait or 3+ customers) |
| Employee Presence at Counter | Real-time monitoring of counter staffing with alerts for unmanned stations during operating hours |
| Store Opening/Closing Compliance | Automated tracking of store hours compliance and schedule adherence across locations |
| Cap/Hairnet/Face Mask Detection | PPE compliance monitoring with real-time violation alerts for food safety standards |
| Bill Generated at Counter | POS activity correlation with customer traffic and staff presence for conversion analysis |
Measurable Impact
The retailer focused on optimizing two high-impact areas: the fresh produce section (a key traffic driver) and the seasonal promotional area (a key high-margin space). Here are the measurable results driven by Agrex.ai supermart video analytics.
Ready to Optimize Your Supermart?
Join leading retailers using AIVIS to transform layouts, boost conversions, and maximize revenue per square foot with AI-powered video analytics.
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