JD.com Industrial recently announced the major release of nine industry-specific "Scenario Procurement Solution Handbooks," including the debut automotive industry handbook and forthcoming handbooks for steel and metallurgy, energy batteries, livestock breeding, and other sectors.

The Automotive Manufacturing Industry Scenario Procurement Solution Handbook provides in-depth industry insights, solution frameworks, and case analyses to help enterprise partners understand automotive industry trends and leading application models, as well as solutions and practices for specific scenarios. This enables companies to identify effective pathways for supply chain digitalization and cost reduction, effectively supporting comprehensive cost reduction and efficiency improvement across the automotive manufacturing industry value chain.

In 2025, JD.com Industrial has partnered with key Chinese industrial city governments and industry partners to launch the "Chain-Link Cities, Trillion-Yuan Cost Reduction" initiative. Through professionally crafted "digital-physical integration" cost reduction models that connect all supply chain segments, the initiative constructs a "digital highway" to restructure supply chain processes and enhance total factor productivity, driving sustained improvement in Chinese industrial profitability and unlocking trillion-yuan profit potential for industrial sectors. The release of industry scenario procurement solution handbooks represents a crucial component of this "trillion-yuan cost reduction" initiative.

Through preliminary case research and industry expert interviews, the handbook series has gained widespread recognition for its industry depth, leading-edge technical solutions, and practical, replicable implementation pathways, with content highly anticipated by many industry users.

**Targeting Industry Pain Points with Taipu Solutions to Balance Optimal Cost and Efficiency**

In the "Automotive Manufacturing Industry Scenario Procurement Solution Handbook," JD.com Industrial conducts systematic research to deeply analyze industry trends and supply chain pain points, proposing comprehensive digital-physical integration solutions covering products, procurement, fulfillment, and services. The handbook demonstrates effective implementation pathways through typical automotive enterprise case studies.

China's automotive industry is at a critical juncture, transitioning from scale expansion to quality enhancement. Over the past two years, accelerated adoption of new energy and intelligent connected vehicles has maintained China's position as the world's largest producer and consumer for the 16th consecutive year, with 2024 production and sales reaching 31.4 million vehicles. In the first half of 2025, new energy vehicle production and sales reached 6.968 million and 6.937 million units respectively, representing over 40% year-on-year growth and accounting for 44.3% of total new vehicle sales. This reflects industry vitality while positioning supply chain resilience, efficiency, and collaboration at the forefront of competitive advantage.

Against this industry backdrop, JD.com Industrial uses the "Taipu" digital-physical integrated supply chain as its core framework to systematically address automakers' primary concerns regarding cost and efficiency: companies with real-time response, precise collaboration, and dynamic optimization supply chain capabilities are positioned closest to the dynamic balance point of "optimal cost × optimal efficiency."

First-line observations from vehicle manufacturers and parts suppliers indicate that barriers to industry efficiency improvement stem not from individual tools or systems, but from systematic challenges spanning products, procurement, fulfillment, and operations. Primary issues include data and process fragmentation creating "information silos," with procurement, production, logistics, and sales operating in isolation, hindering end-to-end visibility and coordinated decision-making. Additionally, insufficient product standardization, vast supplier ecosystems, and inconsistent categories and specifications create complex sourcing, compliance risks, and persistently high management costs. Finally, contradictions exist between fulfillment complexity and agility, with multi-site, multi-scenario delivery often caught between "high inventory" and "supply disruption risks," making it difficult to achieve both responsiveness and resilience.

The handbook proposes that solutions lie not in "starting from scratch" but in using digital intelligence technology as a foundation and industry understanding as leverage to connect "digital" and "physical" elements, establishing standardized, collaborative, and evolving capability systems on both supply and demand sides.

The "Taipu" solution provides a systematic answer to this practical challenge: on the supply side, aggregating compliant and extensive supplier networks while using data and rules to achieve efficient supply-demand matching and collaboration; on the demand side, promoting enterprise internal management digitalization and intelligence, creating closed loops from demand submission and approval to ordering and payment reconciliation, with process data accumulating as iterative operational assets targeting "four-in-one" cost reduction, efficiency improvement, supply assurance, and compliance.

This represents not abstract blueprints but a "toolbox" refined through specific scenarios and flexibly combinable across different enterprise stages and organizational capabilities.

**Deep Automotive Scenario Focus Providing Referenceable and Replicable Digital Pathways**

The handbook's scenario segmentation fully demonstrates JD.com Industrial's deep participation and practice in automotive industry supply chain development. For procurement, JD.com Industrial provides refined matching based on category attributes rather than simple "unified models." For "leverage categories" like labor protection supplies, power tools, and rack fixtures, it recommends "e-commerce mall + SRM inquiry and bidding" to achieve better pricing and terms through public bidding and electronic auctions. For "acquisition categories" like cleaning and storage, fire safety materials, and manual tools, it emphasizes e-commerce procurement with automated demand submission, approval, ordering, payment, and reconciliation processes, with direct e-commerce platform integration when necessary. For "long-tail materials" like spare parts and laboratory/R&D supplies, it provides one-stop management covering sourcing, procurement execution, warehousing logistics, supplier management, and data support, freeing enterprises from complex, inefficient "long-tail management" to focus resources on more competitive core businesses.

This "category-specific prescription" methodology stems from deep understanding of automotive industry product rules and operational processes, supported by digital tools for structured management of pricing, delivery schedules, compliance, and risk.

True competitive advantage is reflected in understanding and implementing manufacturing scenarios. Addressing automotive manufacturing's four major processes, solutions cover professional segments like stamping, welding, painting, and final assembly, plus general segments including facility cleaning, personal protection, lighting, fire safety, and transfer storage, connecting "fragmented" MRO procurement processes with unified standards and data foundations supporting differentiated requirements across scenarios.

For example, in welding workshops with the highest automation levels, the long-standing challenge of expensive imported equipment parts with long lead times is addressed through on-site condition assessment and physical product scanning. JD.com Industrial completes sampling and testing within 30 days, achieving domestic substitution when requirements are met, transforming upstream supply from "single-path" to "multi-path," simultaneously optimizing supply assurance and costs.

In final assembly, where component brands, models, and specifications are extremely complex, "channel redundancy" and "standard distortion" easily occur. JD.com Industrial category experts systematically organize product information corresponding to different conveying methods on-site, integrating solutions and channels to reduce comprehensive costs while ensuring quality and compliance.

Results show that domestic substitution in welding scenarios significantly shortened cycles from sourcing to installation while reducing enterprise dependence on single import channels. Standardization and channel optimization in final assembly made procurement processes more transparent and compliant. More importantly, these practices enable comprehensive data accumulation from sourcing through procurement and fulfillment to warehousing, forming reusable digital assets providing solid quantitative foundations for next-round optimization.

This represents the true meaning of "digital-physical integration": not simply moving offline processes online, but using data to define processes, processes to drive services, and services to enhance data, making supply chains true enterprise "computational engines" for continuous optimization and value enhancement.

Fulfillment represents supply chain efficiency's "last mile." Addressing composite factory and non-factory scenarios, JD.com Industrial has built customized systems with forward warehouses and on-site smart cabinets beyond standard logistics fulfillment. Based on historical consumption data for predictive inventory management, high-frequency common parts are pre-positioned near factories or production lines. When material requests are issued, forward warehouses provide immediate delivery through dedicated personnel and vehicles, while smart cabinets support frontline workers' card-swipe access, achieving "demand-driven supply, data-governed chains" while simultaneously reducing inventory occupation and supply disruption risks.

This approach emphasizes not "labor-intensive, material-intensive" extensive support but coordinated near-term and long-term, online-offline integrated fulfillment models focusing on dynamic balance between certainty and agility.

The trend toward network-structured automotive industry supply chains is increasingly clear. Enterprises need not just platforms or systems but "collaborative capabilities" adaptable to multi-site, multi-category, multi-scenario requirements. JD.com Industrial clarifies methodologies through handbooks, provides implementation tools through "Taipu" solutions, and delivers verifiable results through implementation practices at multiple core automotive enterprises. When industry insights, technology platforms, and operational capabilities align within the same coordinate system, the "optimal cost" versus "optimal efficiency" competition becomes non-zero-sum, achievable through real-time response, precise collaboration, and dynamic optimization.

As physical industries continue advancing digitalization, these capabilities not only help enterprises navigate cycles but serve as key foundations for Chinese automotive industry long-term competitiveness.