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EnglishWhen AI is integrated into the organizational context, it gradually evolves into an innovative mindset shared by all employees.
Industry-leading companies are jointly stepping into a new era reshaped by AI.
In the home furnishings industry, Gujia Home Co., Ltd. (hereafter referred to as Gujia Home) is a pioneer in this wave of transformation. Facing the dual challenges of a slowing real estate market and fragmented consumer demand, this company—established more than four decades ago—still delivered impressive results: revenue for the first three quarters of 2025 increased by 8.77% year-over-year, while net profit surged by 13.24%.
Sustaining this growth is Gujia Home’s unwavering belief in “systematic building.” Its professional management team has consistently emphasized that true competitiveness comes from sustainable systems and process design—not from sporadic bursts of inspiration.
This systematic capability largely stems from the company’s forward-looking digital and intelligent initiatives and long-term investments. Since entering into a strategic partnership with DingTalk in 2023, Gujia Home has used management digitalization and intelligence as its core driver, progressively advancing the digital and intelligent upgrade of its entire business chain.
Take DingTalk AI Tables as an example. The company’s management digitalization and intelligence team has established a four-part support system: “training—discovery—implementation—motivation.” On December 15, 2025, the inaugural “Digital Intelligence Tools—AI Tables” competition concluded successfully amid applause and sharing of achievements. Lu Chunhong, the person in charge of digital transformation, remarked, “The real transformation has just begun.”
In just three months, through collaboration between the management and business digitalization teams, the company has deployed over 8,000 AI tables, with daily active users exceeding 2,500. These tables cover key business scenarios such as R&D, sales, online operations, store management, and EHS. Meanwhile, the widespread use of diverse AI tools—including Gujia Smart Information Center, iWork, and AI digital avatars—has collectively propelled overall business processes toward greater intelligence.
The Gujia Home management digitalization and intelligence team noted, “Tools like DingTalk AI Tables have successfully achieved end-to-end connectivity from senior leadership to frontline employees. Employees are generally taking the initiative to embrace change and continuously unleashing innovative energy.”
Since its launch in August 2025, DingTalk AI Tables have rapidly gained popularity within Gujia Home, with more than 8,000 tables created and widely applied across various business scenarios.
This AI tool has not only repeatedly won awards in internal innovation competitions but has also penetrated deep into the production front line, connecting the three major links of “online operations—store sales—production manufacturing” and becoming a key engine supporting Gujia Home’s “front store–back factory” rapid-response model.
The retail end was one of the earliest scenarios where AI Tables were implemented.
As a leading home furnishing company with an omnichannel strategy, Gujia Home operates nearly ten official flagship stores across multiple e-commerce platforms, listing and delisting tens of thousands of products each year.
In the past, it took an operations staff member about half an hour to list a single product; during major promotions, the process could take more than ten hours. Because the workflow involved collaboration among planning, marketing, and channel teams, errors were prone to occur, which negatively impacted customer experience and increased costs.
To address this pain point, Gujia Home leveraged “iWork + RPA + AI Tables” to create a digital closed loop. Today, operations staff simply fill out the table header information and click “execute,” and the product listing is completed automatically. This not only saves manpower but also reduces new employee training time from one week to just one hour—and the system has operated without a single error so far.
The application of AI tools is not limited to e-commerce. Increasingly, work processes within Gujia Home are being redefined by DingTalk AI Tables.
In live-streaming ad management, headquarters and regional teams use AI tools to efficiently coordinate budgets, eliminating the cumbersome manual data collection and reconciliation of the past and preventing data discrepancies. More importantly, AI Tables break down data silos, linking the entire workflow—from submission and placement to settlement and conversion—resulting in more precise budget and settlement management and directly improving return on investment (ROI).
Offline stores have also been transformed by AI tools.
In the past, the materials and training content required for new product launches needed collaboration among product planning, operations, packaging, and training departments. Some steps relied on manual communication, often leading to delayed information or misaligned milestones—even resulting in situations where “the goods arrive at the store, but the sales pitch isn’t ready,” which hurt the customer experience.
Today, AI Tables can automatically follow up on tasks with the relevant stakeholders, significantly reducing delays. “In the past, when launching new products in stores, about half of the training might not be completed in time; now, for most new products, the necessary training is already in place when the items arrive at the store,” said a representative.
In the production环节, AI Tables have also demonstrated powerful effectiveness.
Sofas are Gujia Home’s core product category, and their production process involves thousands of tasks and more than 70 employees.
After participating in a live AI Tables webinar hosted by the company, project manager Wang Weiping quickly adopted the tool for production scheduling management. She admitted that in the past, tracking progress relied not only on business systems but also on DingTalk groups and even phone calls, limiting efficiency. “Mentioning someone in a group chat could take half a day; a single phone call typically takes five minutes,” she explained, noting that the team often fell into a cycle of “waiting—urging—repeated communication.” While this management approach focused on achieving outcomes, there was still room for improvement in process monitoring and detailed control.
With the introduction of AI Tables, she established a comprehensive communication channel spanning “customer service—frontline execution—management decision-making,” breaking down departmental barriers and upgrading traditional manual scheduling to an efficient, precision-driven smart closed loop. This significantly enhanced organizational agility and decision-making speed.
Take sofa frame manufacturing as an example. After the reform, the previously estimated two-day cycle was broken down in detail and compressed to 1.5 days; in actual implementation, the timeline could even be shortened to about 0.5 days, enabling the company to set new records on top of its already leading industry efficiency.
Internal estimates indicate that AI Tables can improve the efficiency of hundreds of employees each month, resulting in considerable cumulative cost savings.
By now, the cost-saving and efficiency-enhancing benefits brought by AI tools have reached a consensus at Gujia Home. However, the rollout process has not happened overnight. Take AI Tables as an example: initially, the company adopted a steady and pragmatic approach.
In the trial phase, the company did not impose mandatory adoption but encouraged interested employees or departments to start small, explore solutions to specific business pain points, and share successful cases in internal communities to inspire others to join in.
Since late August 2025, the company has held more than a dozen specialized AI Tables webinars, attracting nearly 5,000 viewers in total. The events followed the principle of “voluntary participation and open learning,” focusing on the theme of “how AI tools solve real-world problems” and encouraging employees to freely exchange ideas and ask questions. Some employees, after experiencing the tools, proactively recommended them to other departments, sparking spontaneous cross-departmental dissemination. For instance, Wang Weiping reached out to the digitalization team after attending a webinar, driving optimization of the production scheduling process.
After a preliminary consensus emerged around the idea that “AI Tables have great potential,” Gujia Home held a zero-threshold, all-employee AI Tables competition in December 2025, with senior company leaders and DingTalk representatives serving as judges. The competition results further accelerated the spread of the tool. For example, the production scheduling project that won the grand prize attracted upstream and downstream departments to actively connect, propelling AI Tables from isolated breakthroughs to cross-departmental collaboration and enabling a single scenario to drive improvements across an entire process.
In designing and applying AI tools, Gujia Home places particular emphasis on aligning corporate values with individual interests.
Fu Qidong from the Retail Capability Development Department has firsthand experience with this approach.
He noted that a common problem in store management is task omissions. However, after using AI Tables for six months, the number of supervisors penalized for omissions has dropped significantly.
Through iWork combined with AI Tables, tasks are pushed point-to-point, responsibilities are clearly defined, and records are transparent. This not only reduces disputes but also encourages employees to cooperate more willingly. Features such as one-click operation greatly simplify usage, making the tools easy for frontline salespeople, factory workers, and other groups with weaker digital literacy to master.
At Gujia Home, AI Tables have gone beyond being mere tools and have become a habitual way of thinking for all employees: “Can this issue be solved more effectively with AI?” From the grassroots level to management, the company uses an AI-oriented mindset to proactively identify and address business pain points.
This not only improves the efficiency of the entire business chain but also shifts the work model from passive response to proactive collaboration and from localized optimization to systemic integration. It can be said that AI has become a mindset that runs through the organization from top to bottom, guiding the company toward a smarter, more collaborative future.
Gujia Home’s achievements in the AI field stem from its recognition of digitalization and intelligence as the core driving force behind strategic transformation.
For Gujia Home, excellent tools are not merely technological carriers; they represent an advanced work philosophy. Their value lies in “helping companies develop sound management thinking, build efficient management systems, ultimately serve business operations, and support long-term growth.”
That’s why, when promoting tools like DingTalk AI Tables, the company remains steadfast in its strategic vision yet flexible and pragmatic in its tactics—ultimately achieving widespread adoption and establishing a virtuous cycle of “business pain points driving innovation—employees’ independent creativity—senior leadership’s endorsement—full-chain promotion.”
As the results become evident, Gujia Home will continue its path of “staying close to business and focusing on pain points” in 2026, with a focus on deepening the breadth and depth of applications in core areas such as e-commerce, store management, supply chain, and production R&D. The goal is to move AI Tables from “functional trials” to “deep integration.”
In terms of implementation strategy, the company will continue to popularize concepts through webinars, unify understanding, and use a red-and-black incident assessment mechanism to motivate everyone’s participation. The aim is to achieve full coverage across all employees, product categories, and bases, significantly boosting labor productivity. In measuring value, the company will not only track time savings but also focus on how the freed-up workforce can be redirected to higher-value areas—such as optimizing customer experience or enhancing live-streaming ad performance—to create greater commercial value.
Currently, AI Tables have permeated Gujia Home’s entire business chain, including production, R&D, design, e-commerce, stores, and distribution, serving as a key pillar for cost reduction and efficiency gains in both manufacturing and retail settings.
Similarly, DingTalk AI Tables are also widely used by industry leaders such as Muyuan Group, Semir, Mengniu, CATL, Yintai Department Store, and Meinian Great Health, demonstrating high cross-industry adaptability.
In the manufacturing sector, China boasts the world’s most complete industrial system, laying a solid foundation for “Made in China.” The deep integration of AI is accelerating the transition from “Made in China” to “Smart Made in China.”
In January 2025, eight ministries, including the Ministry of Industry and Information Technology, jointly issued the “Implementation Opinions on the Special Action ‘Artificial Intelligence + Manufacturing,’” setting a goal that by 2027, China’s industrial scale and application level of key AI technologies will rank among the world’s top performers.
As a proponent of “work modes in the AI era,” DingTalk continues to lower the barrier to AI adoption. Its AI Tables come equipped with built-in visual recognition, multimodal capabilities, and large language model functions, and in mid-December last year, the platform launched more than 20 new AI features.
For example, the “Universal Sticker” and “Say Anything” features introduced a month ago enable users to leverage AI to parse unstructured information—whether it’s a screenshot or a voice recording—and automatically convert it into table-ready data, virtually eliminating barriers to use.
The lowered threshold means that AI is becoming a productivity tool accessible to every enterprise. As demonstrated by the practices of benchmark companies like Gujia Home, even large enterprises can achieve agile transformation and sustained leadership when AI becomes ingrained in the organizational fabric.
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