Guolian Included in Ebrun's Corporate Data Factor Competitiveness Report Unveiled at China International Big Data Industry Expo: Advancing Industrial Digital Intelligence via Industry-Grade Data Infrastructure

[Ebrun Original] On August 28, 2026, at the 2026 China International Big Data Industry Expo held in Guiyang, Ebrun Research Institute officially launched the inaugural *2026 Corporate Data Factor Competitiveness Report*. Developed over nearly a year and incorporating on-site research and interviews with nearly 100 enterprises, the report defines and analyzes "corporate data factor competitiveness" — the core competitive edge of enterprises in the digital intelligence era — and establishes a four-dimensional evaluation framework covering data acquisition, governance, application, and security. Guolian, a leading industrial internet platform, was featured in the report as a benchmark case, leveraging its more than 20 years of in-depth data practice accumulated in the industrial internet sector.

In fact, Guolian has long positioned data elements as the foundational support of its core corporate strategy. Shortly after its public listing, the company explicitly laid out its three-pronged core strategy of "platform, technology, data". The company's management stated clearly: "As the underlying strategic support of our company, we have always regarded data as the fundamental cornerstone for realizing industrial digitalization and intelligence in the future. The greater value of data does not lie in the superficial practice of listing it for sale, but in its role as the fundamental fuel for the operation of all the company's businesses."

To strengthen corporate data factor competitiveness, the top priority is building data acquisition capabilities, that is, having exclusive access to core data resources. For industrial internet platforms, transaction data is the most valuable data asset. In this regard, Guolian has followed a gradual development path spanning more than two decades. It started with Guolian Resource Network in 2002 to accumulate business intelligence data, then launched the vertical e-commerce platforms under the "Duoduo" brand in 2015 to enable large-scale accumulation of transaction data, forming a dual-wheel data system combining business intelligence data and transaction data. After its main board listing in July 2019, the company accelerated investment in digitalization and formalized its "platform, technology, data" strategy. The period from 2022 to 2023 marked a critical decision-making phase for data factorization: the company was selected for the Ministry of Industry and Information Technology's "Big Data Industry Development Pilot Demonstration Project", and partnered with the Beijing International Big Data Exchange to realize data right confirmation and data asset pricing. After more than 20 years of deep engagement in the industry, the company has accumulated over 200TB of industrial big data covering more than 100 sub-sectors, with an annual data growth rate of 100%. Currently, the company has entered into strategic cooperation with the Beijing International Big Data Exchange and Guiyang Big Data Exchange, with more than 200 data products listed for trading cumulatively.

Strengthening corporate data factor competitiveness hinges on the construction of a governance system, whose core lies in organizational structure. In terms of organizational setup, Guolian adopts a three-tier front-office, middle-office, back-office architecture to coordinate the development and utilization of data factors: the independent data departments of front-office subsidiaries are responsible for collecting industrial chain data; the middle office, guided by product or project research, maps out data factor demand in a top-down manner; the back office, overseen by the company's management, coordinates strategic decision-making and technology system construction. At the governance level, the company has established a three-tier ESG governance structure with the board of directors and its subordinate Strategic Planning and ESG Committee as the decision-making body, listing "data security and customer privacy protection" as a key agenda item.

Integrating data with AI to form innovation capabilities for the new era, namely data application capabilities, is the core manifestation of an enterprise's data factor competitiveness. In this area, Guolian has built out its layout around the full architecture of "computing power - algorithm - data". In 2025, the company launched the "Duoduo Intelligent Worker" industry-grade intelligent agent platform, which is centered on general large models and industry-specific AI models, supported by industry data, and connects various application systems via MCP to enable rapid construction of industrial intelligent agents. The platform has significantly improved the accuracy of operational decision-making and response efficiency in key scenarios such as global commodity price monitoring, intelligent international logistics scheduling, and industrial chain risk warning. Thanks to this innovative practice, the Duoduo Intelligent Worker platform won the "2025 Industrial Intelligent Agent Innovative Application Value Model Award", and the company was selected as one of the first batch of members of the Industrial Intelligent Agent Innovation Center. The intelligent supply and demand matching system developed by the company realizes "product search via image" through AI image recognition and industrial data matching, directly unlocking the value of massive supplier and product data. In the cloud factory scenario, AI intelligent agents have enabled a shift from "post-incident alarm" to "pre-incident intervention": energy consumption intelligent agents, quality intelligent agents, and production intelligent agents can conduct real-time collaborative optimization based on overall objectives.

As of the end of 2025, Guolian has partnered with 290 cloud factories, of which approximately 92 are "digital factories" that have undergone in-depth digital transformation. Enterprises adopting Guolian's cross-border business model have seen an average 5% reduction in operational procurement costs, a 20% shorter order fulfillment cycle, a 30% improvement in logistics efficiency, and a 15% to 30% increase in production efficiency. In 2025, the company's R&D expenditure increased by 82%, as it is in a critical transition period from an industrial e-commerce player to an industrial digital technology platform. Guolian is accelerating the development of a full closed-loop chain covering data collection, governance, productization, and trading, unlocking the multiplier effect of data factors on industrial collaboration.

The company's vision is to build data factor competitiveness that combines professionalism and applicability: focusing on the full-chain industrial data accumulated over more than 20 years of deep engagement in the industry, it is building dual capabilities of "data + AI" through data governance, productization, and intelligent application, to realize the transformation from an industrial internet "connector" to a technology service provider, offering a replicable template for industrial internet enterprises on how to convert data from "resource" to "asset" and further to "competitiveness".

This article was first published on the official website of Ebrun.