UST Walk-In Walk-Out: Autonomous Retail with Computer Vision

UST Walk-In Walk-Out (WiWo) delivers a fully autonomous, frictionless retail experience where shoppers simply enter, pick their items, and walk out—no scanning, no kiosks, and no checkout lines.

Designed for high-frequency environments such as airports, corporate campuses, hospitals, and residential communities, WiWo uses advanced computer vision, AI, IoT sensor fusion, and edge computing to track every product interaction with precise SKU-level accuracy. Transactions are calculated automatically, and digital receipts are issued within minutes, enabling a seamless, modern shopping journey.

Built on a cloud-native architecture powered by AWS, WiWo supports real-time analytics, remote store management, and multi-site scalability. Edge processing ensures low-latency item recognition and billing, while AWS cloud services handle centralized reporting, performance monitoring, and continuous optimization. Retailers gain full visibility into inventory movements, shopper behavior, compliance workflows, and store performance—without increasing operational overhead.

WiWo is engineered for rapid deployment in 8–10 weeks, with modular store layouts that scale from micro-markets to 5,000 sq. ft. formats. Customers can enter using tap-to-pay or QR authentication, while retailers can extend the experience with optional cash-friendly workflows, age verification, and integration into existing ERP, CRM, PIM, and payment systems. From high-traffic travel hubs to always-open convenience environments, WiWo delivers secure, accurate, and fully autonomous retail that’s built for global scale.

Key Features

• Tap-to-enter or QR-based store access: Enables fast, secure customer authentication without apps or pre-registration.
• AI-driven billing and automatic receipt generation: Computer vision and sensor fusion deliver real-time SKU-level tracking with automated digital receipts.
• Edge-cloud architecture for low latency and control: Edge inference ensures fast item recognition, while AWS cloud analytics support centralized oversight.
• Integrated age verification and regulatory compliance: Supports facial recognition and document scanning for alcohol, tobacco, and restricted products.
• Modular deployment across multiple retail formats: Built for express stores, campus retail, office micro-markets, and enterprise convenience.
• API-first framework for seamless integration: Connects with POS, ERP, CRM, PIM, and payment systems for unified retail operations.

Key Benefits

• Deliver a seamless, checkout-free shopping experience: Customers enter, shop, and leave without queues or friction, improving satisfaction and throughput.
• Reduce operational overhead while maintaining accuracy: AI automates billing, inventory visibility, and store monitoring, lowering staffing requirements.
• Gain real-time visibility across stores and inventory: AWS-powered dashboards provide complete insights into product movement and shopper behavior.
• Deploy quickly and scale globally with confidence: Cloud-native architecture and modular layouts enable rapid rollout across diverse locations.
• Support inclusive, cash-friendly workflows: Accommodates customers using digital payments or local-market cash solutions.
• Ensure compliance through built-in age verification: AI-driven identity checks simplify restricted-item management.
• Increase store uptime with remote monitoring and analytics: Cloud sync enables centralized updates, performance tracking, and issue resolution.
• Build a modern retail experience aligned with consumer expectations: Autonomous, frictionless, and always-on shopping elevates brand perception and convenience.