Supcon Partners with Qwen Office to Build an AI-Native Benchmark for the Process Industry

The intelligent transformation of the process industry is moving from proof-of-concept to full-chain implementation. On October 16, Supcon Technology Co., Ltd. and Qwen Office officially signed an agreement, announcing that Agent capabilities will be embedded into the entire marketing chain, with plans to extend the partnership to core scenarios including procurement, supply chain, finance, HR, and R&D, jointly building an AI-native benchmark enterprise in the process industry.

A Partnership Aimed at the "Full Chain"

Founded in 1999, Supcon Technology positions itself as an industrial AI platform company built on industrial data, centered on large AI models, and reaching into all scenarios through intelligent agents. Its business covers more than 50 countries and regions worldwide, serving over 40,000 customers domestically and internationally. For a company that has been deeply engaged in the process industry for over two decades, adopting a general-purpose Agent product is not merely a tool purchase—it is a restructuring of organizational workflows.

At the signing ceremony, Supcon Technology Vice President Shi Xiaolei, Alibaba Cloud Intelligence Group Vice President Zhang Jing, and Qwen Office Vice President Zhu Hong jointly witnessed the strategic partnership. Based on prior information, Qwen Office is Alibaba's enterprise-grade general-purpose Agent product, which surpassed 30 million users within just one month of launch, with enterprise users accounting for more than half. Industry leaders such as Changan Automobile, FAW Toyota, Yihai Kerry, ZTO Cloud Warehouse, and Transfar Group have all adopted it.

Supcon Technology's decision to integrate at this point serves as both an endorsement of Qwen Office's product maturity and a reflection of the process industry's urgent demand for AI implementation.

The process industry refers to manufacturing sectors that transform raw materials into products through continuous or batch physical or chemical processing. Typical examples include chemicals, petrochemicals, pharmaceuticals, power, metallurgy, and papermaking. Unlike discrete manufacturing (such as automobiles and electronics assembly), process industry production is often continuous and cannot be interrupted, with strong coupling between process parameters—temperature, pressure, flow rate, and other variables influence one another—thus demanding higher reliability, real-time responsiveness, and interpretability from AI. This also explains why AI implementation in the process industry generally lags behind discrete manufacturing: the margin for error in core production stages is extremely low, and any misjudgment can lead to safety and quality incidents. For this reason, many enterprises choose to start with management scenarios such as marketing and supply chain, building up data and trust before advancing toward the production core.

Marketing Scenario: From 5 Days to 1 Day

The first landing point of the partnership is in marketing. Supcon Technology is jointly building an AI marketing project with Qwen Office, covering the complete chain from collecting market leads to payment settlement.

The pain points in frontline sales scenarios are quite representative: salespeople have long been in a high-load state of "visiting clients by day, writing materials by night," with a single solution taking more than 5 days from on-site research to formal output. After Qwen Office's involvement, it can handle market insight tasks and, combined with Supcon Technology's accumulated expert industry experience and knowledge base, compress solution output time to 1 day—an efficiency improvement of approximately 5x.

The deeper value of this change lies in role transformation. Salespeople are freed from tedious information gathering to focus on customer needs and key decisions, transforming from "information gatherers" to "value operators." For the process industry—characterized by high deal values and long decision chains—this role upgrade is more strategically significant than mere time savings.

Agent is a form of large model application with autonomous perception, planning, decision-making, and execution capabilities. Unlike traditional conversational AI, an Agent can invoke external tools, access knowledge bases, break down complex tasks, and execute them step by step—completing multi-stage workflows such as "collect leads—analyze needs—generate solutions." In enterprise scenarios, Agents typically use "skill" as the smallest capability unit, with each skill encapsulating the processing logic for a specific type of task. This means enterprises can codify their accumulated industry experience, expert knowledge, and standard processes into callable skills for reuse across different business functions. The "AI Marketing Skill Library" that Supcon Technology plans to build is essentially the transformation of tacit industry know-how into explicit capability assets that Agents can execute.

From Point Solutions to Digital Asset Accumulation

Supcon Technology's ambitions extend beyond marketing efficiency. According to the plan, the partnership will deepen across procurement, supply chain, finance, HR, R&D, compliance, and other scenarios. More notably, Supcon Technology plans to leverage Qwen Office's skill capabilities to build its years of industry experience into an AI marketing skill library, making it a digital asset reusable across the process industry.

If this step succeeds, it means Supcon Technology will be exporting not just industrial software and hardware, but also Agent skills encapsulating industry know-how. For an industry as heavily dependent on experience transfer as the process industry, making tacit knowledge explicit and organizationalizing individual capabilities may be the most difficult yet most valuable part of the AI-native transformation.

AI Native refers to a transformation paradigm in which enterprises are driven by AI at their core—from organizational structure and business processes to product design—rather than simply layering AI tools onto existing workflows. AI-native enterprises emphasize restructuring workflows with Agents, driving decisions with data, and accumulating knowledge assets through skill libraries. For the process industry, the challenge of AI-native transformation is not introducing models, but structuring and organizationalizing tacit knowledge that is highly dependent on individual experience (such as senior engineers' judgment logic and salespeople's customer insights). Once these experiences are encapsulated as Agent skills, they can break through the knowledge loss bottleneck caused by personnel turnover, forming organizational capabilities reusable across projects and regions. Supcon Technology's effort to build industry experience into an AI marketing skill library is a practice of exactly this logic.

What the Process Industry's AI-Native Path Means

Unlike discrete manufacturing, the process industry has strong production continuity and high coupling of process parameters, imposing more stringent requirements on AI reliability and interpretability. Supcon Technology's approach of starting with management scenarios like marketing rather than directly overhauling core production stages is a pragmatic strategic choice—first using Agents to run through organizational collaboration processes, accumulating trust and data, then advancing into deeper waters.

Qwen Office's user growth curve offers another perspective: the adoption rate of enterprise-grade Agents is accelerating, and the demonstration effect of leading enterprises may trigger industry-wide follow-up. As a representative enterprise in the process industry, Supcon Technology's transformation results will directly influence confidence in the AI-native path among peers.

From "point intelligence" to "full-chain intelligence," whether the partnership between Supcon Technology and Qwen Office can truly establish a working AI-native model for the process industry remains to be tested by time. But at the very least, it offers a referenceable path that starts from marketing scenarios and accumulates industry assets through a skill library.

One-line Summary

Supcon Technology partners with Qwen Office to drive AI-native transformation in the process industry, starting with marketing.

Paragraph Summary

Supcon Technology and Qwen Office have signed an agreement to embed Agent capabilities across the entire marketing chain, with plans to extend into procurement, supply chain, finance, HR, R&D, and other core scenarios. The first AI marketing project covers the complete chain from market leads to payment settlement, compressing solution output time from 5 days to 1 day—approximately 5x efficiency improvement—and transforming salespeople from information gatherers to value operators. More strategically, Supcon Technology plans to leverage Qwen Office's skill capabilities to build its years of industry experience into a reusable AI marketing skill library and digital asset. The article notes that given the process industry's strong production continuity and high parameter coupling, starting from management scenarios rather than core production stages is a pragmatic strategy, and its transformation results will influence peer confidence in the AI-native path.