Greenland X DingTalk: Building an AI-Based Digital Foundation

Wuhan Glandor Intelligent Technology Co., Ltd. was established in March 2018. It has been recognized as a national high-tech enterprise, a national "specialized, refined, unique and innovative" small giant enterprise, and a national enterprise rated for integration of industrialization and informatization. It has successively received honors including the Grand Prize of Science and Technology Award from China Commercial Federation and the First Prize of Science and Technology Progress Award for Power Construction. The company adheres to development across multiple tracks, focuses on high-value-chain products, and insists on long-termism. After years of exploration, it has gradually established three main business tracks: precision motion control, smart grid perception, and laser micro/nano manufacturing.

Wuhan Glandor Intelligent Technology Co., Ltd. was established in March 2018. It has been recognized as a national high-tech enterprise, a national "specialized, refined, unique and innovative" small giant enterprise, and a national enterprise rated for integration of industrialization and informatization. It has successively received honors including the Grand Prize of Science and Technology Award from China Commercial Federation and the First Prize of Science and Technology Progress Award for Power Construction. The company adheres to development across multiple tracks, focuses on high-value-chain products, and insists on long-termism. After years of exploration, it has gradually established three main business tracks: precision motion control, smart grid perception, and laser micro/nano manufacturing.

With the growth of its enterprise scale and increasing business complexity, Glandor now faces challenges such as low efficiency caused by remote working, information fragmentation due to multiple coexisting systems, and significant pressures in security risk control. These challenges severely impact the company’s operational efficiency, information security, and brand image. There is a pressing need to improve management effectiveness and risk prevention capabilities through digitalization. To address these challenges, Glandor chose to deeply collaborate with DingTalk, leveraging DingTalk's powerful AI capabilities and digital solutions to build an AI-powered digital foundation, thus meeting its current needs while achieving sustainable growth.

1 Robot "Ruofei" for Quick Responses to Employee Inquiries

Glandor integrated its self-developed AI model "Ruofei" and internal knowledge base into a DingTalk robot using the DingTalk open platform API. The system quickly responds to employee inquiries, providing precise answers based on resources from the knowledge base. This significantly enhances the efficiency of issue resolution, greatly reduces reliance on human resources, and improves employees' job satisfaction. In addition, this system seamlessly integrates with DingTalk’s attendance functionality, automatically collecting and organizing daily attendance and work order status information and presenting it in an intuitive, user-friendly format, enabling managers to better understand team dynamics and workloads.

Building an automated message notification system with DingTalk PaaS applications as bridges

In daily enterprise operations, interdepartmental collaboration of work orders often encounters delays due to cumbersome procedures, which severely impacts work efficiency. Glandor utilizes DingTalk's platform, leveraging its self-developed PaaS applications as bridges to seamlessly connect pending tasks from OA and ERP systems with DingTalk's messaging notifications. Combining DingTalk’s to-do management and message push features, an automated message notification system is built. This system automatically pushes daily reports on work order progress to DingTalk groups. Since launching this project, the process of task submission that originally took 5 minutes has been shortened to 1 minute, significantly reducing the total processing time for work orders. Most importantly, the model of "notification upon pending流转, action upon notification" effectively prevents the oversight of tasks, ensuring that each task receives timely and appropriate attention and handling.

Real-time security log notifications enable faster risk prevention and control

Facing difficult challenges like significant cybersecurity risks, complicated identity authorization management, and high risks of information leaks, Glandor has deeply collaborated with DingTalk to build an internal network situational awareness system. By utilizing DingTalk’s custom application development capabilities and intelligent robot services, Glandor pushes real-time security logs to concerned personnel in the form of interactive cards, achieving rapid positioning and blocking of potential threats. Simultaneously, using the behavior monitoring function of the DingTalk backend, Glandor can quickly identify and handle abnormal activities, effectively strengthening its information security defenses. This AI-driven approach has significantly improved the company's overall level of security protection, helping Glandor better respond to increasingly complex cybersecurity threats and build an impenetrable digital defense system.

From automated employee consultation to efficient interdepartmental work order processing, and from real-time cybersecurity alerts to robust protections, Glandor has built a high-efficiency, intelligent, and secure digital work environment using DingTalk’s AI technology and digital infrastructure. This foundation ensures strong future development for the company. Going forward, while continuing to deepen its core business tracks, Glandor will further enhance its digital capabilities through continuous innovation and technical support from DingTalk, empowering business operations through technology and guiding growth through innovation.

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