Datalogic Advances AI Self-Shopping for Faster, Safer Retail Checkout

Grocery stores, big-box retail, high-traffic supermarkets, and omnichannel store formats increasingly rely on self-shopping technologies to accelerate checkout while maintaining strict control over shrinkage. Datalogic's Joya Smart device family directly addresses this operational challenge by unifying fast self-scanning, real-time product interaction, and AI-based loss prevention within a single handheld platform.

Differentiation Through Integrated AI Validation and Retail-Grade Performance
Unlike conventional self-shopping scanners that rely solely on barcode capture, the Joya Smart family integrates rear-camera computer vision and embedded AI algorithms to actively validate scanned items. This system, known as Shop Guard, verifies that products placed in the cart match scanned items, reducing both accidental errors and intentional non-scanning.

This real-time visual validation enables targeted exception handling, allowing store associates to re-check only flagged items rather than entire baskets. The result is higher shopper throughput, lower friction at exit gates, and improved loss control compared with traditional self-checkout and first-generation self-scanning devices.

User Experience Optimized for Speed, Accuracy, and Engagement
The devices feature a 5-inch high-resolution display housed in an ergonomically optimized form factor for extended in-hand use. Wi-Fi 6E connectivity and embedded NFC enable high-speed scanning and contactless payments within seconds, supported by immediate visual confirmation through Green Spot good-read feedback.

Augmented product interaction is enabled through GS1 Digital Link-ready QR code scanning, allowing shoppers to access ingredients, nutritional values, and promotions in real time during the shopping journey. The platform is fully compatible with major retailer self-shopping software environments and integrates seamlessly with digital retail ecosystems.

Competitive Advantage of Joya Smart+ Through Shared Scan and AI Vision
The Joya Smart+ introduces a differentiated architecture in which the scan engine and AI camera share the same optical point of view. This front-to-rear alignment allows shoppers to visually confirm the targeted product on screen while scanning, significantly improving first-time read accuracy. This shared-vision design reduces scanning errors that commonly affect multi-sensor retail devices.

Sustainability, Lifecycle Protection, and Infrastructure Compatibility
Beyond performance, the platform addresses long-term operational sustainability. Devices and accessories are manufactured using recycled materials and recyclable packaging, while wireless charging eliminates mechanical contact wear and reduces maintenance failures associated with charging pins. Extended Android support and charging modes optimized for either speed or energy efficiency protect long-term technology investments.

Infrastructure reuse is also supported through wall-mount migration kits, allowing retailers to upgrade devices without replacing existing physical installations.

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