Store Intelligence — CCTV-Based Store Analytics

AI-powered store analytics platform using existing CCTV infrastructure to understand customer movement, employee activity and store operations.

Portfolio pillar: AI for Retail & Shopper Intelligence

Primary Industries

• Retail
• QSR
• Jewellery
• Fashion
• Grocery
• Consumer Electronics

Key Use Cases

• Footfall analytics — Measures how many people enter and pass through a store over time.
• People counting — Counts people entering, exiting or present in specific zones via existing CCTV.
• Dwell time — Measures how long shoppers spend in specific areas of the store.
• Heatmaps — Visualizes where shoppers spend the most time and attention.
• Staff activity — Tracks staff presence and activity on the shop floor.
• Queue monitoring — Monitors queue length and wait time at billing or service counters.
• Billing counter analytics — Analyzes activity and throughput at billing counters.
• Customer journey — Maps how a customer moves from entry through browsing to checkout.
• Zone analytics — Breaks the store into zones and analyzes traffic per zone.
• Store productivity — Assesses how effectively a store converts footfall into sales.
• Conversion insights — Estimates what share of visiting shoppers convert into buyers.

A solution by Right Left AI (RLAI). Book a demo.