From April 8th to 13th, 2026, the application of AI technology in the leather industry saw a surge in implementation, particularly in Guangdong's shoe and leather goods factories, where significant results were observed. Through intelligent technology upgrades, key processes in traditional leather production, such as material inspection, design, and sampling, have seen efficiency doubled, effectively adapting to the industry's new demands for small-batch, multi-style, and fast-response orders, injecting strong momentum into the high-quality development of the leather industry.
As a core pre-production step in leather manufacturing, the efficiency and accuracy of material inspection directly impact subsequent production progress and product quality. The AI visual material inspection system deployed in several large shoe companies in Guangdong has completely replaced the traditional manual inspection mode. Through the combination of high-resolution industrial cameras and intelligent algorithms, it achieves rapid and accurate detection of leather defects. The system scans and inspects a single piece of leather in just 7 seconds, improving efficiency by over 300% compared to traditional manual inspection (3-5 minutes per piece). It can operate continuously for 24 hours, significantly shortening the raw material inspection cycle. Meanwhile, the system can accurately identify leather defects down to 0.2mm, covering more than 20 common problems such as scratches, color differences, insect bites, and uneven coatings, with an accuracy rate exceeding 99%, far surpassing the 80-85% accuracy rate of manual inspection. This effectively avoids product rework and material waste caused by missed inspections. According to feedback from enterprises, after implementing the system, leather utilization has increased by more than 8%, and a single company can reduce material waste by nearly 120,000 yuan annually. It also significantly reduces labor costs, achieving an intelligent and efficient upgrade in the material inspection process.
Concurrently, the shoe and leather AI design platform Vali has completed a comprehensive upgrade and officially launched, further optimizing the collaborative capabilities of the entire process of leather product design, prototyping, and production. Based on multimodal large-scale model development, the platform can generate physical-level design drafts within 10 seconds based on user-input product requirements (such as style, material, and texture). It supports real-time adjustments to details such as material, color, and texture, improving efficiency by more than 100 times compared to traditional manual design (3-5 days), greatly shortening the product design cycle. Currently, the platform has successfully connected with over 500 leather material suppliers and over 300 leather goods factories worldwide, forming a real-time collaborative network for "design-sampling-production." After the design draft is generated, it can be directly synchronized with material suppliers to confirm material compatibility, and simultaneously sent to partner factories to initiate the sampling process. This shortens the traditional 7-10 day sampling cycle to 1-2 days, significantly improving order response speed and perfectly meeting the current demand for small-batch, fast-response orders in the foreign trade market, helping companies quickly seize market opportunities.
The deep penetration and application of AI technology is gradually reshaping the traditional production model of the leather industry, driving the industry's transformation from "traditional manufacturing" to "intelligent manufacturing." This not only significantly improves production efficiency and reduces operating costs, but also provides strong support for leather goods companies to enhance their core competitiveness and respond to market changes.
