The new round of technological revolution and industrial transformation is accelerating, with digitalization and intelligence becoming the core mainline of the manufacturing industry's transformation and upgrading. Jinbei Automobile Co., Ltd. (600609.SH), rooted in the industrial heartland of Shenyang, seizes the opportunity of the national manufacturing upgrade strategy, anchors on the core track of intelligent transformation and digitalization, and relies on AI technology as support, with embodied intelligence as the core approach. It integrates the entire business chain of research and development, production, quality, logistics, and management, using technological innovation to solve the pain points of industry development and activating new growth momentum through digital transformation, writing a "Jinbei answer sheet" for the high-quality development of the automotive parts industry.

I. Strategic Navigation, Anchoring the Core Direction of Digital Transformation

At the top-level strategic level, based on the actual development of the automotive parts industry, Jinbei Co. focuses on three core goals: "improving efficiency, reducing costs, and empowering business," establishing an integrated transformation framework that coordinates headquarters, subsidiaries, and the entire industry chain. The company adheres to the development idea of technological empowerment and scene implementation, using AI and embodied intelligence as dual engines for transformation. From top-level planning to scene implementation, from benchmark cultivation to ecosystem construction, it promotes AI from an auxiliary tool to a core productivity, and drives embodied intelligence from technological exploration to large-scale application, achieving a qualitative change from "usable" to "manageable and easy to use," and from "single-point breakthroughs" to "full-chain integration," injecting strong momentum into industrial upgrading.

II. Deep Integration of AI and Intelligent Manufacturing, Strengthening the Hard Core Foundation for Quality Improvement and Efficiency Enhancement

Relying on the deep integration of AI technology into intelligent manufacturing scenarios, Jinbei Co. coordinates its key enterprises such as Jinbei Lear and Jinbei Yanfeng, taking the lead in implementing intelligent transformation in key areas such as quality control, production management, and data governance, allowing AI to take root in the manufacturing front line. This addresses pain points such as inconsistent traditional production standards, delayed responses, and rough decision-making, making "data-driven, intelligent decision-making" the new normal in production.

1. AI Quality Inspection: Precisely Safeguarding Quality, Dual Optimization of Efficiency and Cost

AI visual inspection has become the core tool for the company's quality control. Among them, Jinbei Lear has implemented a high-end seat AI visual inspection project, integrating industrial cameras at the end of robotic arms, combining AI large models with advanced machine vision algorithms to build a flexible intelligent inspection system. It collects images from multiple angles and accurately identifies over ten types of defects such as scratches, stains, and wrinkles, completely replacing manual visual inspection. After the project was put into use, inspection efficiency increased by over 3 times, quality inspection labor costs decreased by 40%, and the inspection accuracy rate reached 99.98%, establishing a solid defense for the quality of high-end seats.

Jinbei Yanfeng, in collaboration with Northeast University, has tackled common industry challenges and independently developed an AI appearance defect detection system for armrest covering parts, breaking through technical bottlenecks such as non-fixed detection areas and irregular defect recognition. It won the second prize of the Liaoning Province Spark Program, forming a replicable and promotable standardized solution, setting a new benchmark for AI quality inspection in the industry

2. Intelligent Production: Breaking Management Pain Points, Comprehensive Efficiency Leap

The AI empowerment in production management is also remarkably effective. Jinbei Auto and Lear have introduced the Lear Global Foundry platform, integrating the MES system with real-time data from production line PLCs to build an intelligent analysis hub, achieving precise calculation of working hours and dynamic insights into bottleneck processes, with line balance rates increasing from 82% to 92%; relying on AI predictive maintenance models, equipment status is visualized in real-time, with early warnings for faults, reducing maintenance response time from 15 minutes to 3 minutes, and unplanned downtime decreased by 75%, with overall equipment effectiveness (OEE) improving by over 20%.

Jinbei Auto and Yanfeng have created an enterprise-level intelligent computing platform, establishing a comprehensive data direct acquisition system, breaking down data silos in production, equipment, and quality. With BI visualization dashboards and AI analysis tools, it supports management's second-level responses and precise decision-making; simultaneously launching lightweight intelligent agents such as LPA automatic supervision and employee skill matrix management, promoting paperless office and digital team construction, achieving 7×24 hours of intelligent collaboration, significantly enhancing operational efficiency.

3. Embodied Intelligence Breakthrough, Activating New Momentum for Flexible Production

In the face of the manufacturing industry's challenges of labor shortages and high labor costs, as well as the new trends of small-batch, multi-variety, and flexible production in the automotive parts industry, Jinbei Auto is proactively laying out the embodied intelligence track, collaborating deeply with industry-leading companies such as Self-variable Robotics, focusing on "industrial layout - scenario cultivation - data supply" as the main line, accelerating the large-scale implementation of embodied intelligence, and exploring new paths for labor replacement in future intelligent manufacturing.

1. Scenario Deepening: Unmanned Operations Implementation, Breaking Production Bottlenecks

The subsidiary has taken the lead in engineering applications: Jinbei Auto has deployed embodied robots on the automotive seat back panel production line, integrating high-precision visual recognition and force control feedback technology to achieve fully autonomous operations in the back panel processing, breaking the limitations of manual operation space and consistency bottlenecks; simultaneously advancing projects such as automatic spraying of noise-reducing agents in foaming and automatic nailing of back panels, replacing highly repetitive manual tasks, significantly improving operational standardization and product stability Jinbei focuses on complex process scenarios such as dashboard heating, laser perforation, and laser weakening, tackling embodied intelligence adaptation technology, and collaborating with AGV unmanned handling systems to create 7×24 hour unmanned operation stations, steadily progressing from "single-point unmanned" to "full-line unmanned," calmly addressing challenges in dynamic perception, autonomous decision-making, and precise execution in complex environments.

2. Release of Technological Dividends: Flexible, Efficient, Safe, and Reliable

The continuous implementation of embodied intelligence releases multiple development dividends for enterprises: intelligent equipment can quickly adapt to production line adjustments, autonomously plan work paths, and effectively reduce downtime during model changes; relying on deep learning capabilities to continuously iterate work strategies, quickly matching new products and new processes, helping to steadily reduce defect rates; while undertaking high-temperature, high-noise, and high-intensity repetitive tasks, avoiding the risk of occupational injuries, and comprehensively improving assembly accuracy and production rhythm stability.

3. Remarkable Results, Benchmark Leadership Empowering Industrial Collaboration

By continuously deepening the intelligent transformation and digital transition track, Jinbei has achieved tangible transformation results, realizing a leap in comprehensive core competitiveness. On the production side, Jinbei Lear's production efficiency has increased by 34%, logistics and warehousing costs have decreased by 10%, and inventory turnover rate has simultaneously increased by 34%; on the quality side, the overall defect rate of the company has decreased by 32%, with the CNC rate of key processes and the networking rate of core equipment achieving 100% coverage, aligning with international advanced manufacturing standards; in terms of digital capabilities, the overall digital maturity of the enterprise has reached level two, with key subsidiaries rising to level three. With impressive transformation results, Jinbei Lear has been selected for the proposed list of benchmark enterprises for intelligent transformation and digital transition in Liaoning Province, winning multiple honors such as National High-tech Enterprise, National Green Factory, and Excellent Intelligent Manufacturing Scenarios from the Ministry of Industry and Information Technology; Jinbei YanFeng has accumulated mature AI implementation experience, steadily advancing towards the benchmark of intelligent factories in the industry.

As an industry leader, Jinbei actively takes on responsibility, building a collaborative platform for government, enterprises, academia, and research, joining forces with universities, research institutes, and upstream and downstream partners to explore transformation paths; adhering to "benchmark leadership, leading by example," promoting the industry's transition from "experience-driven" to "data intelligence," providing replicable and implementable intelligent transformation samples for BMW's global supply chain and the Shenyang automotive industry cluster.

4. A Promising Future, Leading the New Journey of Industrial Upgrading

The journey is long, and innovation never stops. Looking to the future, Jinbei will continue to implement the national, provincial, and municipal strategies for intelligent transformation and digital transition, using benchmark enterprise construction as a guide, insisting on AI+ embodied intelligence as dual driving forces, deepening the integration of digital intelligence technology with all elements, processes, and scenarios of manufacturing, continuously expanding the boundaries of technology application, improving the digital foundation, cultivating a composite digital talent team, and striving to create a benchmark model for intelligent transformation and digital transition in the automotive parts industry, continuously contributing solid "Jinbei strength" to the high-quality development of manufacturing in Liaoning and Shenyang and the construction of a modern industrial system