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How Valuable Is an AI Based Scale? The Answer Is Far Beyond “Speed”!
As the retail industry accelerates its digital transformation, AI based scales (AI-powered weighing scales / AI recognition electronic scales) have emerged as a key technology for improving store efficiency and reducing costs.
Winmore Digital leverages self-developed AI recognition weighing algorithms and lightweight deployment solutions to provide global retailers with a smarter, faster, and more efficient checkout experience.
1. Free Up Staff, Boost Operational Efficiency
Traditional electronic scales require cashiers to memorize thousands of PLU codes, making operations cumbersome and error-prone. During peak hours, 2-4 weighing staff are often needed in fresh produce areas.
Winmore Digital’s AI based scale integrates computer vision and deep learning algorithms to automatically identify product categories within 0.3 seconds, enabling self-service checkout without staff intervention.
For example, at a Wumart store in Beijing, deploying the AI based scale increased weighing efficiency by over 80%. New employees could start working without training, and each automated weighing station saves around 200,000 RMB in annual labor costs.
2. Eliminate Checkout Bottlenecks, Enhance Customer Experience
Traditional fresh produce checkout involves multiple steps: bagging, weighing, labeling, and queuing for payment. This long process reduces customer satisfaction.
AI based scales consolidate “recognition → weighing → payment” into a single step, reducing identification time from 2–3 seconds manually to 0.1–0.8 seconds.
In a Shanghai fresh produce chain, customers completed the full checkout process in under 8 seconds, cutting queue times by 70% and significantly improving the shopping experience.
3. Reduce Waste and Support Green Retail
Traditional scales require printed price tags and barcodes for each transaction, increasing material costs and maintenance.
Winmore Digital’s AI based scale connects directly to the system with electronic price tags and only prints a receipt upon payment.
A 300㎡ store with 2,000 daily transactions can save 20,000–30,000 RMB annually in materials, while supporting low-carbon retail operations.
4. Real-Time Data Drives Smarter Decisions
Manual data entry is slow and prone to errors.
AI based scales automatically collect transaction and product data and seamlessly integrate with POS systems, providing retailers with real-time operational insights.
At a market in Huangshan, Shanghai, Winmore Digital’s AI based scale helped optimize purchasing using “big data on fresh produce,” reducing product waste by 30% and improving inventory turnover.
5. High-Precision Recognition: Solve Similar Product Challenges
Recognizing similar non-standard products, such as cucumbers vs. bitter melons or apples of different sizes, is difficult for traditional scales and staff.
Winmore Digital’s AI based scale uses multi-algorithm PK and local self-learning engines, achieving over 99.5% accuracy. When combined with cashier verification, near 100% identification accuracy is possible, significantly reducing errors and returns.
6. AI Based Scales Create Continuous Value for Retail
Beyond weighing, AI based scales serve as a central hub for retail intelligence, creating lasting value in four dimensions:
- Cost Optimization: Reduce labor, materials, and maintenance expenses
- Efficiency Improvement: Integrate weighing, recognition, and payment in one device
- Enhanced Experience: Smart interface and self-service boost customer engagement
- Data-Driven Decisions: Real-time transaction data supports refined store operations
Globally, over 100,000 stores have deployed Winmore Digital AI based scales across fresh produce, bakery, and bulk snack categories. With high-precision recognition, cross-system compatibility, and lightweight deployment, AI based scales are becoming the preferred solution for retail digital transformation, enabling “smart weighing · intelligent checkout · efficient operations” for next-generation stores.