Xinjiang Aijia Supermarkets : Smart Stores That Make Trust, Efficiency, and Service Tangible

| Client Overview

Founded in 2001 and headquartered in Urumqi, Xinjiang Aijia Supermarket Group is a well-established regional grocery retailer in Xinjiang. Over more than twenty years, its store network has expanded across major cities including Urumqi, Shihezi, Hami, and Kuitun. With deep local roots, Aijia has established itself as a leading grocery retailer in the region, operating a wide store network that serves customers across Xinjiang.

| Collaboration Background

To respond to changing consumer expectations and improve the in-store experience, Aijia launched a store-focused transformation programme in 2025. Alongside improvements to product assortment, store environment, and staff service, the company set out to build an intelligent operating system that works directly at store level, supporting consistent service standards, better risk control, and higher operational efficiency as a foundation for future growth.

| Solutions

To support Aijia’s need for more precise store operations, DMALL delivered a smart store solution built around three core capabilities: Intelligent Monitoring, Self-Checkout Loss Prevention, and Smart Checkout Management, forming a closed-loop operating model.

1、Intelligent Monitoring System: Building a Fully Visual Inspection Framework

• Core capability: end-to-end visual inspections

The system enables real-time monitoring across key store scenarios, including blocked fire exits, open-flame risks, merchandising compliance, and staff service standards. Managers can identify issues through video-based inspections at any time, reducing reliance on irregular, manual store checks.

• Operating model: integrated online and in-store inspections

Multiple inspection methods are supported, including online video store walks, photo-based checks, in-store self-inspections, on-site visits, and ad-hoc issue reporting. Role-based inspection templates help ensure operational standards are applied consistently across all stores.

• Key advantage: AI-powered visual zone monitoring

Smart cameras replace traditional infrared sensors, providing visual monitoring of designated risk areas. When an alert is triggered, managers can quickly confirm the cause and on-site conditions, while loss-prevention staff are notified immediately, significantly reducing response times.

2、Self-Checkout Loss Prevention System:  End-to-End Intelligent Loss Control

To tackle shrinkage risks in self-checkout, Aijia moved beyond traditional loss prevention and adopted a more intelligent, system-led approach.

• Before the incident: proactive and accurate detection

Using AI-powered technologies, the system identifies abnormal behaviours during self-checkout, such as missed scans or incorrect scans, providing a reliable basis for early risk detection and proactive intervention.

• During the transaction: customer-friendly intervention

Once a risk behaviour is detected, the system immediately displays a friendly on-screen prompt at the self-checkout terminal, guiding customers to complete a rescan on their own. This trust-based intervention helps prevent potential losses while preserving a smooth and positive shopping experience.

• After the fact: traceable and analyzable records

All alerts and handling outcomes are fully recorded, forming a traceable and analyzable data trail. This provides a solid foundation for shrinkage analysis and continuous process optimisation.

In October 2025, Aijia’s Nanhu store processed 20,373 self-checkout transactions. The system identified 3,267 abnormal behaviours in real time and guided customers to rescan in 2,161 cases, directly recovering RMB 23,520 in losses.

3、Smart Checkout System:  A Data-Driven Checkout Operations Platform

Checkout counters become digital intelligence nodes that support in-store efficiency management and decision-making.

• Intelligent Queue Management: The system continuously monitors checkout queues. When the number of waiting customers exceeds a preset threshold for a sustained period, the system automatically triggers an alert. This not only notifies store staff but also prompts them to open additional lanes or redirect customer flow, ensuring service remains smooth and efficient.

• Checkout Performance Insights: The platform provides real-time visibility into checkout efficiency trends across every store. Managers can track performance metrics continuously, identify bottlenecks, and make data-informed operational decisions, ensuring consistent service quality and resource allocation.

• AI-Powered Decision Support: Leveraging historical data and predictive algorithms, the system automatically generates staffing, scheduling, and operational recommendations. This empowers managers to move from experience-based to data-driven decision-making, improving efficiency, reducing human error, and supporting strategic workforce planning.

| Conclusion

Xinjiang Aijia’s smart store strategy goes beyond simply adding technology. It is about getting back to what retail does best. Efficiency runs like clockwork, trust is evident in every interaction, and service is consistently warm and personal. By mastering operations down to every square metre, Aijia is perfectly positioned to grow confidently and capture new markets.