Background

A convenience store chain faced several operational challenges:

  • No direct link between POS transactions and surveillance footage, making it difficult to verify sales in real time.
  • Manual inventory checks were time-consuming and prone to errors.
  • Lack of accurate customer traffic data hindered marketing and staffing decisions.
  • Difficulty monitoring cashier performance and preventing internal fraud.

Solution

We implemented an integrated POS-video surveillance solution combined with People Counting analytics to address these challenges:

  1. POS-to-NVR Integration
    • Connected the store’s POS terminal to the surveillance system.
    • Automatically overlaid transaction details—item name, quantity, unit price, and total—onto live and recorded video feeds.
    • Each sale is matched to a corresponding video clip for instant verification.
  2. Loss Prevention & Cashier Management
    • Detects missed scans, unregistered sales, and other suspicious activities.
    • Ensures POS procedures are followed, improving accountability.
  3. Inventory & Sales Insights
    • Transaction data is automatically translated into inventory changes.
    • Store managers can adjust purchase plans based on real-time sales trends.
  4. People Counting
    • Installed people counting cameras to track daily foot traffic and peak hours.
    • Combined with POS data, enables analysis of conversion rates and targeted promotions.

Results

  • Quick Dispute Resolution – Video and transaction records enable instant verification of customer complaints.
  • Reduced Shrinkage – Minimized theft, cashier fraud, and unscanned sales.
  • Smarter Operations – Data-driven stocking, marketing, and staffing decisions.
  • Higher Efficiency – Reduced manual inventory checks and improved accuracy.

Conclusion

This case demonstrates how smart surveillance can go beyond security to improve operational efficiency.
By integrating POS transaction overlays with people counting analytics, the convenience store achieved loss prevention, fraud control, operational efficiency, and data-driven decision-making.

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