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AI Based Scale: 6 Benefits Beyond Speed
In the era of retail digital transformation, the AI based scale—also known as an AI vision scale—is rapidly becoming a core technology for boosting store efficiency and reducing operational costs. As a leading provider in this field, Winmore Digital delivers advanced AI weighing algorithms and lightweight deployment solutions that help retailers across the globe achieve faster, smarter, and more automated checkout experiences.
Below are six key benefits of an AI based scale that go far beyond traditional speed improvements.
1. Reduces Labor Dependency and Improves Store Efficiency
Traditional scales rely heavily on manual operations. Store staff must remember thousands of PLU codes, and fresh departments typically require 2–4 employees to maintain peak-hour operations.
An AI based scale solves this problem with computer vision and deep learning. Winmore Digital’s AI vision scale can recognize product categories within 0.1 seconds, enabling fully automated weighing and self-service checkout.
By removing just one manual weighing station, retailers can save up to ¥200,000 per year in labor costs.
2. Eliminates Checkout Bottlenecks and Enhances Customer Experience
The typical fresh shopping process requires multiple steps—bagging, weighing, printing labels, and queuing again for payment. This leads to long waits and poor customer satisfaction.
With an AI based scale, recognition, weighing, and payment become a single step. Recognition time improves from 2–3 seconds manually to 0.1–0.8 seconds automatically.
At a nationwide snacks chain, customers complete the entire process—from item placement to payment—in under 8 seconds, reducing queue time by 70% and significantly boosting satisfaction.
3. Reduces Label Waste and Supports Sustainable Retail
Traditional weighing requires printed labels for every transaction, creating unnecessary waste and maintenance costs.
An AI vision scale connects directly to digital pricing systems, eliminating the need for label stickers. Only the final receipt is printed after payment.
For a 300 m² store with 2,000 daily transactions, this saves ¥20,000–30,000 in annual consumable costs while supporting low-carbon retail operations.
4. Unlocks Real-Time Data for Smarter Decision Making
Manual weighing data often requires staff input, creating delays and inaccuracies.
An AI based scale automatically captures transaction and item-level data and syncs it with POS systems, enabling real-time analytics.
For example, after deploying Winmore Digital’s AI scale, a Shanghai fresh market used “purchase behavior data” to adjust procurement strategies—reducing product waste by 30% and improving stock turnover efficiency.
5. Achieves 99.5% Accuracy, Even for Similar-Looking Items
Non-standard items—such as cucumbers vs. bitter melons, or apples of different sizes—are notoriously hard to identify manually.
Winmore Digital applies a multi-algorithm ensemble approach and a local self-learning engine to continuously improve recognition performance.
The system achieves over 99.5% accuracy, and when combined with cashier verification, near-100% accuracy is achievable—dramatically reducing mis-scans and return rates.
6. Creates New Value Across All Retail Dimensions
An AI based scale is more than a weighing device—it is a central gateway to intelligent retail operations. It delivers long-term value in four key areas:
- Cost Optimization: Lower labor, material, and maintenance expenses.
- Efficiency Boost: Unified recognition, weighing, and payment in a single device.
- Customer Experience: Modern UI and self-service flow increase shopper loyalty.
- Data Intelligence: Real-time transaction data drives precise, data-led operations.
Today, Winmore Digital serves over 200,000 stores worldwide, covering fresh produce, bakery, bulk snacks, and more. With high-accuracy recognition, broad system compatibility, and lightweight deployment, our AI based scale has become a preferred solution for retailers seeking a smarter, more efficient checkout experience.