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Welcome to the perfect shop and fully controlled products in the perfect category.
Image-based in-store product recognition with augmented reality and AI-driven machine learning
Perfect Store transforms how CPG companies manage retail execution by enabling direct product recognition from streaming video, significantly reducing in-store data collection time while preserving accuracy. It works seamlessly offline, offering immediate feedback on store checks to drive real-time decisions.
By combining augmented reality, machine learning and AI, we deliver a scalable and cost-efficient solution that ensures consistent performance across retail environments.
With Perfect Store, we help organizations enhance operational efficiency, maintain data integrity and respond quickly to in-store conditions—supporting smarter retail strategies with measurable results.
Perfect Store offers solutions to the big issues facing retailers today:
- Efficient shop controls: Enables direct product recognition from streaming video, eliminating manual capture and reducing human error.
- Enhanced shelf visibility: Creates virtual shelf replicas to improve display accuracy, brand consistency and sales potential.
- Real-time insights: Delivers actionable data on shelf conditions, product placement and promotional effectiveness.
- Cost efficiency Operates fully offline, reducing cloud dependency and operational costs while supporting seamless scalability across retail networks.
Architecture
The entire solution is designed to be cloud-native. In-store product recognition through images with augmented reality and machine learning powered by AI.
Store Checks
For serverless computing that is event-driven, scalable, and doesn't require the need to provision or manage servers.
Azure Blob Storage
Is used for efficient storage and retrieval of large amounts of unstructured data, and it also enables features like versioning and lifecycle management.
The cloud platform
Is connected to mobile devices securely through API management.
Additionally, we leverage MLOps'
Best practices and tools to streamline and automate the end-to-end AI lifecycle to train at scale, manipulate, and finally deploy on the edge.
Benefits
Innovative technology
Comprehensive insights
Cost efficiency
Scalability and flexibility
Reliable support
Accuracy
Integration
Features
Virtual Shelf Recognition
Generates a digital replica of physical shelves, enabling detailed analysis and continuous optimization of product positioning and shelf layouts.
Realogram Data Collection
Captures real-time shelf and product data into a central system, supporting precise planning of assortments, categories and promotional strategies.
Edge AI and Offline Operation
Operates without internet, using on-device AI to ensure real-time insights, secure processing and reliable performance in any environment.
Security and Compliance
Built with advanced encryption and secure storage, and tested to meet stringent regulatory requirements.
Real-time Insights
Provides instant visibility of shelf conditions, planogram compliance and execution accuracy.
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