About
Mashgin is the world's fastest AI checkout solution, transforming retail and food-service transactions by eliminating the need for barcodes or manual scanning. Using multiple 3D cameras, the system reconstructs a full model of every item placed on the tray, leveraging deep learning and computer vision to identify all items simultaneously with over 99.99% accuracy in under half a second. A complete checkout — from item placement to payment — takes just five seconds. Designed for high-throughput environments, Mashgin supports 3X more transactions per cashier compared to traditional checkout lanes, reducing wait times and increasing revenue. Adding new items to the system takes only 30 seconds, and Mashgin already recognizes over 100,000 common retail products out of the box with no setup required. Mashgin serves a wide range of industries including convenience stores, sports stadiums, university dining halls, hospitals, corporate cafeterias, grab-and-go outlets, and ski resorts. The platform integrates with existing POS and payment systems, enabling seamless deployment across locations. With documented results showing 20–110% increases in sales for customers like Aramark, Delaware North, and Levy, Mashgin delivers measurable ROI for enterprise operators seeking to reduce labor costs, improve customer satisfaction, and scale unattended or semi-attended retail effectively.
Key Features
- Sub-Second Item Identification: Multiple 3D cameras reconstruct each item on the tray, allowing the AI to identify all items simultaneously in under half a second with 99.99% accuracy.
- Barcode-Free Checkout: Items are identified purely through computer vision and deep learning — no barcodes, no manual scanning, and no setup required for 100,000+ common products.
- 30-Second Item Onboarding: New items can be added to any Mashgin device in about 30 seconds, with the AI learning and recognizing them almost instantaneously across the network.
- 3X Cashier Throughput: Mashgin enables businesses to process significantly more customers per cashier, reducing queues and increasing revenue without adding headcount.
- Enterprise Integrations: Seamlessly integrates with existing POS systems, payment processors, and back-office platforms to fit into existing retail and food-service operations.
Use Cases
- Convenience store operators deploying self-checkout kiosks to reduce cashier workload and eliminate checkout queues during peak hours.
- Stadium and arena food & beverage vendors processing high volumes of concession purchases quickly during game-day rushes.
- University dining halls enabling students to check out grab-and-go meals without interacting with staff or waiting in line.
- Hospital and healthcare facility micro-markets offering 24/7 unattended retail for staff and visitors with secure, accurate checkout.
- Corporate dining and business cafeterias increasing lunch-rush throughput without hiring additional cashier staff.
Pros
- Exceptional Accuracy: Over 99.99% item identification accuracy driven by multi-camera 3D modeling virtually eliminates checkout errors and shrinkage.
- Proven Revenue Impact: Documented customer outcomes show 20–110% sales increases, making the ROI case strong for high-volume venues.
- Rapid Deployment and Learning: New items can be added in 30 seconds and the system works out-of-the-box for 100,000+ products, minimizing setup time.
- Industry Versatility: Works across convenience retail, stadiums, universities, hospitals, and corporate dining — one platform for many verticals.
Cons
- Hardware Dependency: Mashgin requires proprietary physical kiosk hardware, meaning deployment involves hardware procurement and installation logistics.
- Enterprise Pricing Only: Designed for enterprise and multi-location operators; pricing and access are not transparent and likely out of reach for small independent retailers.
- Limited DIY Customization: As a managed hardware-software solution, deep customization of the AI models or UI may require working directly with Mashgin's team.
Frequently Asked Questions
Mashgin uses multiple 3D cameras to create a spatial model of every item placed on the tray. Its deep learning AI then matches these 3D models against a trained database of items, achieving over 99.99% identification accuracy in under half a second.
New items can be added to any Mashgin device in approximately 30 seconds. The AI learns the new item almost instantaneously and can recognize it across all connected devices.
Mashgin is deployed across convenience stores, sports stadiums, university dining halls, hospitals, corporate cafeterias, grab-and-go outlets, and ski resorts, among others.
Mashgin is trusted at over 8,000 locations worldwide and has powered more than 1.5 billion transactions for clients including Aramark, Delaware North, and Levy.
Yes. Mashgin is designed to integrate with existing point-of-sale systems, payment processors, and back-office platforms, enabling straightforward deployment within current retail infrastructure.
