At the recent COPOLCO International Organization for Standardization Committee on Consumer Policy 47th Plenary Meeting themed "Standards Empowering Consumption Upgrade, Leading High-Quality Development of the Service Industry," a keynote address titled "Digital Intelligence in Industrial Supply Chains – Standardization Empowers Industrial Collaboration and Integrated Development" was delivered by a representative from JD INDUSTRIALS (ASX: 07618).
JD INDUSTRIALS posits that standardization is the foundation for efficient collaboration between manufacturing and service industries. The company has established a comprehensive framework comprising five key standardized systems: commodities, fulfillment, quality and compliance, data intelligence, and solutions. Within this framework, the capabilities for full-chain quality and compliance control, along with the deep innovative application of industrial large models, have emerged as significant driving forces for the industry-wide co-construction of a digital-intelligent supply chain standard system and for promoting high-quality integrated development.
The path and practical implementation demonstrated by JD INDUSTRIALS in using full-chain digital intelligence to enhance industrial collaboration and high-quality development garnered high recognition and widespread resonance among attendees.
Core Principle of Integration
A representative from JD INDUSTRIALS emphasized that the high-quality development of manufacturing is no longer solely an internal matter for individual industries or enterprises. It now requires the deep integration of modern service industry capabilities throughout the entire lifecycle, encompassing research and development, procurement, production, fulfillment, and operations and maintenance.
True integration of the two sectors is not a simple addition of manufacturing and services but involves deep embedding and synergy—ensuring supply chain service capabilities are genuinely integrated into every operational facet of manufacturing enterprises.
This embedded and collaborative value manifests across all stages of manufacturing. For instance, in procurement services, it can optimize the supply chain, reduce purchasing costs, and ensure material supply. In fulfillment services, it can integrate logistics and delivery to improve fulfillment efficiency and customer satisfaction. In quality and compliance services, it enables full-process monitoring of standards to ensure product compliance and safety. In data and supply chain optimization, it leverages big data and AI to achieve predictive maintenance and global optimization.
Path to Digital-Intelligent Transformation
JD INDUSTRIALS outlined a pathway for supply chain digital intelligence to facilitate industrial collaboration and integrated development: using standardization as the cornerstone and AI as the accelerator to build a full-chain digital-intelligent system covering five dimensions—commodities, fulfillment, quality compliance, data intelligence, and solutions.
Enhancing Efficiency Through Standardization
In the traditional industrial supplies sector, issues such as "multiple codes for one item," "dialectal" parameter specifications, and disorganized product details directly cause supply-demand mismatches, sourcing difficulties, and persistently high management costs, forming the primary obstacle to the efficient flow of goods.
Commodity standardization is the starting point for the efficient operation of the industrial supply chain, directly addressing three long-standing industry pain points: chaotic classification and coding, inconsistent specifications and parameters, and fragmented product information.
JD INDUSTRIALS has developed a comprehensive strategy for commodity standardization, ranging from the Kunlun database for industrial product data collection and integration to the Mercator standard digital product library, and has achieved ecosystem integration with standardization organizations and alliances.
On one hand, the company efficiently aggregates upstream industrial product data through initiatives like the industry's first large-model ecosystem, the "BaiChuan Plan," to create high-quality, specialized datasets. On the other hand, leveraging the JoyIndustrial industrial large model and a series of application agents, it assists numerous industry clients with efficient operations through services like product governance and traceability, intelligent selection, intelligent price comparison, and intelligent procurement decision-making, thereby enabling precise connection between manufacturing demands and industrial supply.
Fulfillment standardization centers on the K2 intelligent decision-making brain, with the goal of making supply chain services a reliable guarantee for the stable operation of manufacturing. This standard system, through data aggregation and demand aggregation, utilizes the intelligent decision-making brain to achieve optimal supply-demand matching, creating a fulfillment digital supply chain system that enables efficient coordination of socialized resources and manages fulfillment timelines.
Solutions are a key means to meet the digital-intelligent upgrade needs of large enterprise supply chains. The standardization of solutions is grounded in the core demands of the industrial sector: cost reduction, efficiency improvement, compliance, and supply security. JD INDUSTRIALS has constructed a hierarchical, systematic standard system, promoting the shift of modern services from "simple addition" to deep embedding within the entire manufacturing process—including strategy, technology, procurement, production, and operations—making it a key vehicle for realizing the integrated development of manufacturing and services.
Ensuring Quality and Compliance Across the Chain
Given the lengthy, multi-faceted, and highly complex nature of industrial supply chains, JD INDUSTRIALS believes that only by establishing full-chain quality and compliance standards can supply chain service outcomes become "evaluable, traceable, and trustworthy."
The company has established a mature quality and compliance standard system, relying on five specialized capability modules to achieve risk identification and control throughout the entire supply chain procurement process: Supplier Compliance, establishing an intelligent supplier management platform for full lifecycle management from qualification review and verification to performance assessment; Product Compliance, using product standardization tools for governance covering quality control, intelligent review, and standardized management; Price Compliance, based on the industrial product price index, utilizing same-product comparison tools for price monitoring, creating price snapshots and comparison evidence; Fulfillment Compliance, using a digital fulfillment platform for end-to-end tracking of the delivery process, enabling physical verification and warehouse/distribution management; and Settlement Compliance, based on the Easy Settlement platform, constructing business ledgers and risk control engines to eliminate compliance risks in the settlement phase.
These five modules span the entire supply chain process from "demand—planning—procurement—order—fulfillment acceptance—reconciliation and payment—asset warehousing—after-sales," forming a closed-loop control mechanism from source to endpoint. This fundamentally addresses common pain points regarding full-chain compliance in e-commerce procurement and promotes the sustainable development of industrial supply chains.
AI Innovation Drives Data and Intelligence Standardization
The data and intelligence system standard is the technological core of digital-intelligent transformation. JD INDUSTRIALS uses the JoyIndustrial industrial large model as its foundation to unify the rules and establish standards for data application and intelligent technology application within industrial supply chains, relying on artificial intelligence to achieve a comprehensive leap in three types of efficiency: construction, matching, and decision-making.
Regarding construction efficiency, the company uses algorithms to automatically perform product categorization, attribute completion, parameter validation, and similar product identification, rapidly building underlying data models. For matching efficiency, based on a standardized product data pool, it achieves millisecond-level intelligent sourcing, intelligent recommendation, intelligent price comparison, and precise intelligent substitution. In decision-making efficiency, it aggregates comprehensive data for demand forecasting and inventory optimization planning, proactively outputs fulfillment plans and risk warnings, and optimally controls costs and efficiency.
JD INDUSTRIALS revealed that it will focus on four core AI capabilities: AI in Design and Manufacturing, AI in Products and Pricing, AI in Sales and Transactions, and AI in Fulfillment and Operations. The goal is to achieve one-stop intelligent industrial interconnection manufacturing, unify the industrial supply chain's "language system," standardize and intelligentize ordering, and enable autonomous decision-making for intelligent fulfillment and operations. Through AI technological innovation and the implementation of industrial large models, the company aims to advance the capability building and application of the standard system.
Building a Common Language for the Industry
"The integrated development of manufacturing and service industries requires not just more service supply, but a common language and set of collaborative rules," stated the JD INDUSTRIALS representative. The company is promoting a digital-intelligent supply chain standard system composed of trustworthy AI service standards, quality and compliance traceability standards, supply chain fulfillment evaluation standards, digital procurement service standards, and industrial product master data standards.
"We are willing to join hands with the entire industry to make standardization the infrastructure and use digital intelligence to jointly build a new blueprint for industrial supply chains," the representative concluded.
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