About
Qopius is an AI-powered retail shelf monitoring platform that leverages advanced deep learning computer vision to digitize in-store shelves in real time. The platform addresses a critical retail pain point: an estimated €900 billion in annual sales lost due to on-shelf availability issues. By scanning shelves through multiple capture methods — autonomous robots, battery-operated drones, fixed shelf cameras, and staff smartphones — Qopius delivers continuous, high-accuracy shelf intelligence to retailers of any size. The technology achieves over 96% recognition accuracy using fine-grained image recognition, including advanced border detection, graphic recognition, and deep text recognition. Retailers gain actionable insights across three key areas: on-shelf availability (ensuring products are present, correctly placed, and priced), planogram compliance and optimization (verifying and improving merchandising layouts), and product geolocation with store mapping (enabling staff and customers to locate any SKU instantly). Qopius helps retailers boost staff productivity by automating shelf auditing, reduces out-of-stock events, and enables brand collaboration through shared shelf data. It is trusted by global retail leaders including METRO, Ahold Delhaize, Groupe Casino, MediaMarkt, and Carrefour. The platform is backed by a strong partner ecosystem and was acquired by Trax in 2020 to accelerate the digitization of physical retail worldwide.
Key Features
- Multi-Modal Shelf Scanning: Captures shelf data via autonomous robots, battery-operated drones, fixed shelf cameras, and staff smartphones for flexible, continuous store coverage.
- On-Shelf Availability Monitoring: Detects out-of-stock and misplaced products in real time, ensuring products are available in the right place and at the right price when shoppers need them.
- Planogram Compliance & Optimization: Automatically verifies that product placements match merchandising plans and surfaces actionable recommendations to improve shelf layouts.
- Product Geolocation & Store Mapping: Maps the entire store and geolocates every product with each scan, enabling staff to act on priority tasks and helping customers find items instantly.
- 96%+ Accuracy Deep Learning Recognition: Uses fine-grained image recognition with advanced border detection, graphic recognition, and deep text recognition to identify SKUs with industry-leading precision.
Use Cases
- A grocery chain deploys Qopius robots to autonomously scan shelves multiple times daily, automatically alerting staff when products are out of stock or misplaced before shoppers notice.
- A consumer goods brand uses Qopius shelf data to verify that their promotional planograms are correctly executed across hundreds of store locations in real time.
- A hypermarket equips staff smartphones with Qopius to receive prioritized restocking tasks and capture spot-check images of high-velocity product zones.
- A retail operations team uses Qopius store mapping to geolocate every SKU, reducing the time staff spend locating products and improving customer service response times.
- A retailer leverages Qopius analytics to share shelf performance data with brand partners, enabling collaborative decisions on product placement and inventory replenishment.
Pros
- High Recognition Accuracy: Achieves over 96% product recognition accuracy using state-of-the-art deep learning, minimizing errors in shelf auditing and inventory decisions.
- Flexible Capture Options: Supports drones, robots, shelf cameras, and smartphones, allowing retailers to choose the capture method that fits their store format and budget.
- Proven at Enterprise Scale: Trusted by global retail leaders including METRO, Carrefour, and Ahold Delhaize, demonstrating reliability and scalability across diverse retail environments.
- Real-Time Actionable Insights: Delivers continuous shelf intelligence rather than periodic audits, enabling store staff to respond to availability issues as they happen.
Cons
- Enterprise-Only Pricing: Qopius is designed for large retail chains and requires a custom demo/quote, making it inaccessible to smaller independent retailers.
- Hardware Dependency: Drone and robot-based scanning requires physical hardware deployment and store infrastructure changes, which can increase implementation time and cost.
- Acquired & Rebranded: Qopius was acquired by Trax in 2020, so the standalone product roadmap and support structure may have changed for new prospects.
Frequently Asked Questions
Qopius is an AI-powered retail shelf monitoring platform that uses computer vision to digitize physical store shelves in real time. It helps retailers address the estimated €900 billion in annual sales lost globally due to out-of-stock and shelf availability issues.
Qopius supports four capture methods: autonomous robots (with obstacle avoidance and floor mapping), battery-operated drones (for multiple scans per day), fixed shelf cameras, and staff smartphones for spot checks and priority actions.
Qopius achieves over 96% product recognition accuracy using fine-grained deep learning image recognition, including advanced border detection, graphic recognition, and deep text recognition.
Qopius is trusted by major global retailers including METRO (Germany), Ahold Delhaize (Netherlands), Groupe Casino (France), MediaMarkt (Germany), and Carrefour (France).
Yes, Qopius was acquired by Trax in February 2020 to accelerate the digitization of physical retail. The technology and team joined the Trax family to scale its retail shelf intelligence capabilities globally.