About
SeeChange delivers an enterprise-grade Computer Vision AI platform purpose-built for retail operations. By reusing existing in-store cameras and sensors, SeeChange eliminates the need for costly hardware upgrades while providing intelligent monitoring at self-checkouts, in aisles, and at store exits. The platform's AI Self-Checkout solution detects mis-scans, barcode switching, product stacking, and walkaways, nudging shoppers to self-correct and enabling store staff to intervene based on flexible, configurable business rules. Its Fresh Produce Recognition module uses vision AI to identify non-barcoded items, accelerating transactions and reducing friction at self-service kiosks. For asset protection, SeeChange tracks high-value items from shelf to checkout to exit, triggering automated alerts to combat margin erosion. Its Hazard Detection capability automatically identifies spills, trip hazards, stacking dangers, and blocked exits, supporting OSHA and HSE compliance before incidents occur. The platform integrates seamlessly with leading retail and facilities management systems through partnerships with Diebold Nixdorf, Mitie, Vigilant Applications, and Intel. It is designed to scale across use cases — from loss prevention and produce recognition to facilities management automation — making it a future-proof investment for multi-location retailers seeking to reduce risk, streamline operations, and elevate the in-store customer experience.
Key Features
- AI Self-Checkout Protection: Automatically detects mis-scans, barcode switching, product stacking, and walkaways at self-checkout, with configurable rules that alert staff or block transactions in real time.
- Fresh Produce Recognition: Uses computer vision to identify non-barcoded produce at self-service kiosks, speeding up transactions and improving accuracy without requiring barcodes or manual lookup.
- Hazard Detection: Continuously monitors store floors for spills, trip hazards, blocked exits, and stacking dangers, enabling proactive incident prevention and regulatory compliance.
- High-Value Item Tracking: Tracks the movement of high-value merchandise from shelf to checkout to store exit, triggering automated alerts to reduce theft and margin erosion.
- Seamless Integration with Existing Infrastructure: Deploys using current in-store cameras and sensors with no physical hardware changes required, supporting cloud, edge, or hybrid configurations.
Use Cases
- Reducing self-checkout shrink in supermarkets and big-box retailers through real-time mis-scan and walkaway detection.
- Accelerating fresh produce transactions at self-service kiosks by automatically identifying non-barcoded items with vision AI.
- Protecting high-value merchandise such as electronics or spirits by tracking items from shelf to checkout to store exit.
- Automating in-store hazard detection to prevent slip-and-fall incidents and maintain safety compliance across retail locations.
- Integrating Vision AI with facilities management platforms to automate spill detection and cleaning alerts for safer store environments.
Pros
- No Hardware Replacement Required: Works with existing CCTV cameras and sensors, significantly lowering deployment costs and simplifying rollout across existing store estates.
- Real-Time Alerts and Shopper Nudging: Provides instant feedback to shoppers and store staff, helping self-correct checkout errors and address hazards before they escalate.
- Strong Enterprise Partnerships: Deep integrations with Diebold Nixdorf, Mitie, Vigilant Applications, and Intel ensure robust ecosystem support and enterprise-grade reliability.
- Flexible Deployment Options: Supports cloud, edge, and hybrid deployment models, allowing retailers to match their IT infrastructure preferences and scalability needs.
Cons
- Enterprise-Focused Pricing: Designed for large and mid-size retailers, making it likely cost-prohibitive for small independent stores without significant budgets.
- Limited to Physical Retail Environments: The platform is built exclusively for brick-and-mortar stores and does not address e-commerce or online retail loss prevention needs.
- Camera Infrastructure Still Required: While it reuses existing cameras, stores with no CCTV infrastructure or poor camera placement will need to invest in cameras before deployment.
Frequently Asked Questions
Does SeeChange require retailers to install new cameras or hardware?
No. SeeChange is designed to integrate with your existing in-store cameras and sensors without requiring any physical hardware changes, significantly reducing deployment time and cost.
How does SeeChange reduce self-checkout shrink?
SeeChange's AI monitors checkout transactions in real time, detecting events like mis-scans, barcode switching, product stacking, and walkaways. It can alert store staff, provide feedback to shoppers to self-correct, or block checkouts based on configurable business rules.
Can SeeChange identify fresh produce that doesn't have barcodes?
Yes. The Fresh Produce Recognition module uses vision AI to accurately identify non-barcoded fruits and vegetables at self-service kiosks, improving speed and accuracy for customers and reducing transaction errors.
What hazards can SeeChange detect in-store?
SeeChange can automatically detect spills, slip and trip hazards, improperly stacked goods, and blocked emergency exits, helping retailers act before incidents occur and maintain OSHA and HSE compliance.
How is the SeeChange platform deployed?
The platform supports flexible deployment in the cloud, at the edge, or in any hybrid combination, allowing retailers to choose the architecture that best fits their IT infrastructure and scalability requirements.
