AI-powered store systems give retailers real-time visibility and stronger operational control. Connected technologies streamline shopping journeys, enable faster checkout flows, reduce shrink, and increase inventory accuracy, helping employees act more efficiently. The result is time savings, lower operating costs, and future-proof retail performance.
AI is driving the transition toward the intelligent store. Through connected data capture, smart devices, sensors, and AI-powered analytics, retailers can build integrated environments that share real-time insights, automate processes, and enable more personalized customer interactions. Intelligent store solutions help enhance shopping experiences and strengthen customer loyalty, while also addressing operational challenges by improving efficiency, reducing costs, and supporting more secure and sustainable store operations. The starting point is clear business objectives—then leveraging the right smart store technologies to achieve measurable results.
One of the most significant impacts of the intelligent store is on customer experience (CX). Today’s digital-first consumers expect the same level of autonomy, speed, convenience, and personalization in-store as they receive online, and retail success increasingly depends on delivering these seamless interactions. Intelligent store technologies such as self-shopping and mobile checkout systems enable retailers to meet these expectations by reducing friction, shortening queues, and giving customers greater control over their purchasing journey.
Intelligent self-shopping systems streamline the in-store journey and reduce checkout friction by allowing customers to scan items as they place them in their cart and view a running total in real time. Once shopping is complete, payment can be finalized directly on the device, helping shoppers avoid queues, save time, and pack bags as they shop for a faster and more autonomous experience.
Datalogic’s self-shopping solution extend these benefits with a fully integrated ecosystem that connects POS software, loyalty programs, and promotional engines into a single data flow. Shoppers gain instant access to product information and personalized offers, while retailers benefit from improved visibility and built-in loss-prevention tools designed to reduce shrink and support more accurate, secure store operations.
Retailers can further streamline checkout by enabling customers to use mobile devices for self-scanning and payment. Dedicated apps allow shoppers to scan items as they shop and generate a QR code for fast payment at the exit — no conveyor, no counter, no repacking. When mobile checkout is combined with AI-powered loss-prevention solutions, retailers can reduce shrink without adding extra control points or slowing the customer journey.
Datalogic supports this model with Joya Smart and Smart+.— AI-powered personal shopping devices designed to deliver accurate real-time basket totals while customers shop. An integrated camera with computer-vision validation helps detect missed scans instantly, improving accuracy and protecting margins. Built for everyday retail use, Joya devices combine rugged construction and fast charging to ensure reliable, all-day availability and a consistently smooth self-shopping experience.
Retailers that implement intelligent store solutions can achieve measurable improvements in operational performance. Creating a connected, data-driven store environment helps improve key performance indicators such as margin protection, workforce productivity, and sustainability outcomes, enabling more efficient, cost-effective, and future-ready retail operations.
Research shows that retailers can lose up to 3% of sales to shrink, with self-checkout representing one of the primary sources of loss. Intelligent store systems help protect margins by detecting and preventing the most common self-checkout shrink scenarios, including:
Our Magellan 9600i multiplane scanners embed AI directly into the device to detect self-checkout errors in real time and reduce shrink at the point of sale. As a fully integrated solution with built-in cameras and no external hardware required, the system shortens implementation time and can lower total cost of ownership by up to 20% while maintaining consistent, reliable performance.
Dual high-resolution cameras are positioned beneath the scanner glass to monitor items passing over the platter and in the vertical bonnet for a forward view, with optional overhead camera support for full top-down visibility. This multi-angle configuration allows the system to validate scans, detect missed or stacked items, recognize produce, and identify label switching or pricing discrepancies as they occur. When an anomaly is identified, the scanner immediately alerts the shopper or store associate, helping maintain transaction accuracy and a smooth checkout flow without adding friction.
The system is also continuously learning and centrally manageable. Retailers can train a single scanner and automatically share those learnings across the entire device fleet, enabling consistent performance and faster rollouts enterprise-wide. Its capabilities extend beyond self-checkout as well, helping attended lanes detect label switching, validate produce selection, and prevent common pricing errors in real time. Overall, this Datalogic innovation delivers faster transactions, smoother customer experiences, and reduced shrink — all while lowering total cost of ownership compared to legacy checkout systems.
The intelligent store enables retailers to optimize processes and increase efficiency across the entire sales floor, not just at checkout. AI-driven technologies help streamline activities such as shelf replenishment, price verification, and stock updates, reducing manual effort and lowering operational costs. Connected smart devices continuously collect data that can be analyzed to generate actionable insights, helping retailers keep products available and respond more effectively to supply-chain fluctuations.
Datalogic supports this model with the Memor Family of mobile computers, fixed retail scanners, and handheld scanners, enabling real-time data capture and informed decision-making across store operations. These devices enhance daily workflows and help associates perform mission-critical inventory tasks faster and with greater accuracy, while being GS1 Digital Link-ready to support smart traceability, reliable connectivity, and a future-ready intelligent store ecosystem.
Planning an intelligent store must also consider sustainability. Smart store investments help retailers reduce energy consumption, control operating costs, meet environmental regulations, and strengthen brand reputation.
Datalogic designs products to last longer, perform efficiently, and minimize environmental impact across their lifecycle. The Gryphon 4600 series, for example, is energy-efficient, incorporates recycled materials, and uses eco-friendly packaging to help reduce carbon footprint.
In enterprises with multiple connected intelligent stores, retailers need a centralized way to monitor and manage devices to avoid downtime, degraded customer experiences, and compliance risks.
Datalogic Connect addresses this need with an IoT cloud platform that delivers visibility, control, and actionable insights across store device deployments. From a single interface, retailers can monitor, configure, and optimize scanners, mobile computers, and other connected devices, while proactive issue detection enables remote resolution before problems impact operations—reducing downtime and extending the ROI of device investments.
AI-enabled smart systems that increase productivity, reduce losses, and enhance customer experiences are shaping the future of retail. Our mission is to help customers stay ahead of change, delivering exceptional experiences today while adapting to evolving industry demands and shopper expectations.
To learn more, contact us.
