UST Store Digitization Platform on AWS with Retail Store Modernization

UST Store Digitization Platform on AWS is a managed service that modernizes brick-and-mortar retail infrastructure with an edge-to-cloud architecture. The solution connects POS, self-checkout, and service kiosks, digital signage, sensors, cameras, and other IoT devices into a single, observable store network. Retailers use the platform to drive store modernization and smart retail operations across hundreds or thousands of locations while meeting enterprise security and compliance requirements.

The platform creates a digital twin of each store, combining telemetry, IoT data, and application signals into a real-time view of device health, configuration, and performance. Operations teams gain centralized control to monitor assets, push software and firmware updates, adjust policies, and analyze trends without needing to roll trucks or send technicians on-site. Integrated APIs and data pipelines keep pricing, content, and inventory synchronized across channels, while automation and predictive maintenance help reduce downtime and protect revenue at the point of sale.

UST delivers Store Digitization Platform as a fully managed service on AWS, covering design, implementation, integration with existing retail systems, and 24×7 monitoring and incident response. The service includes onboarding, training, and periodic reviews to optimize performance and explore new use cases, such as computer vision analytics, RFID, and generative AI-assisted store operations.

Key Features

• Edge-to-cloud orchestration for store devices: Provides centralized, cloud-native management for POS terminals, kiosks, printers, sensors, cameras, gateways, and other IoT endpoints, with secure connectivity and policy control across distributed stores.
• Store-level digital twins and real-time telemetry: Builds a digital twin for each store that models assets, dependencies, and telemetry streams, enabling real-time visibility, impact analysis, and early warning when performance or availability degrades.
• Automation and predictive maintenance at scale: Uses rules, AI, and analytics to detect anomalies, trigger automated workflows, and predict device or application failures before they disrupt checkout, back-of-house, or customer-facing journeys.
• Remote diagnostics and over-the-air updates: Enables support teams to remotely troubleshoot issues, run diagnostics, and push software, firmware, and configuration updates over the air, reducing truck rolls and mean time to repair.
• Integration-ready with retail systems and data: Offers APIs and integration patterns for POS, CRM, CMS, ERP, inventory, and workforce systems, allowing retailers to connect their store infrastructure to existing technology stacks without the need for a rip-and-replace approach.
• Observability, logging, and analytics on AWS: Streams logs, metrics, and events from store devices into AWS analytics and monitoring services to power dashboards, alerts, and reporting for store operations, IT, and business stakeholders.
• Secure, scalable architecture built on AWS: Leverages AWS services for identity, encryption, networking, and automation, supporting multi-region deployments and governance across large retail estates.

Key Benefits

• Reduce downtime and protect revenue: Identifies and resolves store infrastructure issues more quickly, ensuring that POS, kiosks, and digital touchpoints remain online, allowing customers to complete purchases at all times.
• Lower operational costs and truck rolls: Replaces manual, site-by-site troubleshooting with centralized monitoring, automation, and remote remediation, cutting travel, field service, and on-site maintenance costs.
• Accelerate retail store modernization: Speeds rollout of new applications, devices, and formats by standardizing store infrastructure on AWS and using repeatable templates rather than bespoke deployments.
• Improve customer experience in every store: Supports more reliable checkout, responsive kiosks, and consistently updated digital signage, contributing to shorter queues, fewer failed transactions, and smoother in-store journeys.
• Create a future-ready foundation for smart retail: Establishes the edge-to-cloud and IoT backbone needed to adopt innovations such as computer vision analytics, RFID-enabled inventory tracking, and generative AI–driven store experiences.
• Standardize operations across locations: Delivers consistent policies, configurations, and observability across stores, enabling IT, operations, and loss prevention teams to collaborate using a single view of store infrastructure health.
• Gain better data for decisions and planning: Transforms telemetry and incident data into insights that inform store design, staffing, rollout priorities, and capital planning for continued optimization of retail operations on AWS.