Say No to Form Wars! Three Secrets Behind DingTalk Empowering Leedarson's Digital Transformation

"With DingTalk, a company no longer needs to be a physical space—it can become a system of relationships. In the future, employees may not even need to come into the office."

— Chen Kai, President of Lierda Technology Group

In 1986, Chen Kai's father's generation started an electronic components business in Wenzhou, Zhejiang Province. With sharp business instincts, they gradually expanded from chip distribution into chip manufacturing and the Internet of Things (IoT) sectors. Today, Lierda has evolved into a high-tech enterprise focused on IoT product development, technology application, and service implementation. It has earned the title of "Zhejiang Science and Technology Giant" and has been consistently ranked among the "Top 500 Global IoT Companies," positioning itself as the world’s second-largest supplier of NB-IoT modules.

In 2012, Chen Kai returned to China after completing his overseas studies and joined the company. He became general manager in April 2020, leading Lierda’s push into the 5G field—a milestone marking the arrival of the "second-generation Wenzhou entrepreneurs." Compared to his predecessors, Chen Kai is more proactive in embracing digital transformation. As early as 2017, he proposed adopting DingTalk to improve collaboration efficiency. Although initially rejected, after experimenting with various tools, the company ultimately returned fully to the DingTalk platform in 2024.

Digitized Performance Management: Evaluation Cycle Shortened from Six Weeks to Three

As a leading IoT enterprise, Lierda once struggled with inefficient strategic goal breakdown and lengthy performance evaluation processes. Previously reliant on manual OKR form-filling, while peer reviews were conducted on another system, resulting in fragmented workflows and severe data silos.

Frontline employees complained: "Listing goals, supervisor verification, filling out evaluations—each step was cumbersome and disjointed." Managers faced immense pressure too: during evaluation periods, HR had to process over a thousand forms manually, constantly chasing staff and drafting 3–6 Q&A guides per cycle, leading to high administrative costs.

In August 2024, Lierda launched DingTalk Agoal Pro Polaris Edition, achieving full digitization of goal management and performance appraisal. Employees now fill out forms directly in the system, updating progress and completion rates monthly. DingTalk AI assists intelligently by suggesting goals, recommending reviewers, and automatically advancing tasks through reminders—eliminating manual follow-ups entirely.

The previously scattered processes of evaluation, peer review, and calibration are now integrated onto a single platform with seamless data connectivity. Sun Yao, Group Operations Vice President, said: "After switching to DingTalk Agoal, we moved away from hybrid online-offline methods. Performance assessments have become efficient, tight, and smooth." The evaluation cycle was reduced dramatically—from six weeks down to just three.

Chen Kai shares his experience using DingTalk Agoal

AI Empowers Sales: Generating Visit Reports via Voice Conversations

Writing post-visit reports used to be a heavy burden for sales teams. Previously, staff had to log into the CRM system and fill out complex forms—a time-consuming process that often led to delayed entries and inconsistent quality.

To solve this, Lierda built an AI assistant within DingTalk. After client visits, salespeople can simply speak to the AI via voice, narrating the conversation naturally. The AI then automatically parses the input and generates structured visit reports.

One sales representative said: "I can dictate my notes while waiting for the bus. Even if I don’t finish, I can add more later. It feels like having a conversation—no more procrastination."

The generated reports are automatically categorized and archived, enabling quick search and statistical analysis. Integrated with YiDa, they also generate multi-dimensional data dashboards such as sales views and product insights, supporting behavioral analytics and better decision-making.

Lierda's AI-powered visit report assistant

Legal AI Boosts Efficiency Tenfold: Smart Contract Risk Detection and Automated Follow-up

Lierda reviews around 2,000 contracts annually, a workload that once overwhelmed its team of three legal officers. Each contract required full reading and review, averaging three days per document—making efficiency improvements difficult.

Ms. Qi from the legal department admitted: "Even though we promote standard templates, dominant clients often force us to deviate."

By leveraging DingTalk AI, Lierda created a legal AI assistant. Once a contract is uploaded, the AI automatically identifies potential risk clauses and pushes them to the responsible party for confirmation. It also triggers automated follow-up workflows to ensure timely feedback.

Ms. Qi said: "Now, most contracts can be reviewed the same day. Overall efficiency has improved more than tenfold."

Teambition Breaks Down R&D Silos: Resource Scheduling Precise to the Day

Lierda’s business spans semiconductor chips, IoT modules, and diverse industry-specific applications. With highly complex projects and deep departmental divides, cross-team R&D resource allocation had long been a challenge.

After adopting DingTalk Teambition, simple configurations enabled end-to-end project management, task assignment, and resource control. Tools like project dashboards and Gantt charts made R&D resources highly visible, significantly reducing maintenance overhead and allowing scheduling precision down to the daily level.

Lierda’s digital transformation exemplifies a typical path of second-generation succession in manufacturing: leveraging DingTalk to reengineer management processes, break down departmental silos, and enhance collaboration efficiency—preserving family business heritage while injecting new digital intelligence. This shift from experience-driven to data- and AI-driven operations offers a replicable transformation model for traditional manufacturers navigating complex market environments.

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