Recently, the 2026 First Consumer Electronics Supply Chain Cooperation Conference was grandly opened in Shenzhen. Hosted by the Electronic Industry Supply Chain Branch of the China Federation of Logistics & Purchasing, the conference focused on two core topics: innovation in AI-powered consumer electronics supply chains and secure, compliant global expansion for enterprises. It brought together experts and corporate representatives from across the industrial chain to explore pathways for high-quality industry development.

Kejie, a subsidiary of DC HOLDINGS (00861) and a leading player in the consumer electronics supply chain, was invited to participate. Kejie's CTO, Zhang Hupo, attended the conference and shared cutting-edge insights during a roundtable forum. Tian Shen, Deputy General Manager of Kejie's Supply Chain Digital Intelligence Center, delivered a keynote speech, presenting practical, high-return digital intelligence solutions for the consumer electronics sector, drawing on over two decades of deep industry experience and practical AI applications.

The consumer electronics industry currently faces multiple challenges, including a vast number of SKUs, significant supply and demand fluctuations, lengthy supply chain links, and stringent compliance requirements for international expansion. AI is seen as a key to overcoming these challenges. However, many enterprises fall into the trap of prioritizing demonstration over application and favoring dialogue over action when implementing AI, resulting in massive investments in computing power and manpower with little tangible effect.

Based on its self-developed informatization, digitalization, and AI technology system, combined with long-term logistics operations practice, Kejie has forged a pragmatic path—moving from technology stacking to process integration, and from single-point attempts to role empowerment—providing a clear reference for the industry.

During the main forum, Tian Shen addressed the pain points of corporate AI implementation in his speech titled "From Dialogue to Action: Unleashing the Practical Efficacy of AI in Consumer Electronics Supply Chains." He pointed out that what companies truly lack is not large models, but a systematic methodology for integrating AI into specific roles and workflows. The core investment, he argued, should not be solely in computing power and technical staff, but rather in business personnel, data, and knowledge assets.

He clearly categorized AI into two types: decision-making AI and generative AI. The former, with over a decade of development in operations optimization and machine learning, and the latter, empowered by large model technology, both need to move beyond superficial applications like "dashboard displays" or "scattered chatbots" and deeply integrate into workflows to create real value.

Tian Shen emphasized that the core of decision-making AI lies not in visualization, but in embedding itself into business processes to output executable decision-making bases. For example, a warehouse packaging material recommendation algorithm improved its accuracy from 30%-40% to 80%-90% through continuous integration into operational steps. The core of generative AI, he stated, lies not in conversation, but in combining private enterprise knowledge, role-specific experience, and SOPs to output directly usable work products, avoiding the creation of "shadow AI."

Kejie innovatively proposes using role-specific workbenches as the core vehicle, integrating data from systems like ERP, WMS, and TMS with industry know-how to create an "intelligent agent twin system," equipping each role with a dedicated AI assistant. During his speech, Tian Shen shared two practical scenarios: a ToB customer service AI workbench that automatically aggregates waybill, proof-of-delivery, and billing data, enabling AI-driven demand identification, intelligent outbound calls, delivery verification, and automated reconciliation, significantly reducing cross-system operation costs; and a business analysis AI workbench that connects financial and operational data, equipped with pre-set agents for profitability analysis, risk warning, and multi-dimensional analysis, generating actionable suggestions without complex prompts. This model has already been implemented within Kejie and for its clients, improving task processing efficiency by over 50%, truly achieving the transition for AI from being "visible" to "usable" and finally to "demonstrating clear ROI."

During the roundtable forum, Zhang Hupo provided an in-depth interpretation of two topics: "How AI Empowers End-to-End Cost Reduction and Efficiency Improvement in Consumer Electronics Supply Chains" and "How to Build a Safe, Compliant, Intelligent, Efficient, and Localized Supply Chain for International Expansion," covering the entire value chain from R&D, production, supply, to sales and service.

Regarding end-to-end AI empowerment, Zhang Hupo stated that AI should start with the enterprise's largest value chain, covering key links such as demand forecasting, production coordination, production scheduling optimization, and reverse logistics. Given the complexity of consumer electronics SKUs, AI can help streamline SKUs on the demand side to reduce backend complexity; optimize testing schemes and parameter tuning on the production side to shorten decision cycles; break through single delivery date targets in scheduling to optimize for multiple factors like delivery time, cost, and supply stability; and accurately plan spare parts inventory and service area placement in reverse logistics to enhance overall chain efficiency and resilience.

Addressing the construction of international supply chains, Zhang Hupo proposed three core points: First, utilize AI to rapidly collect and analyze global policy regulations and geopolitical fluctuations for risk early warning and quick adjustments. Second, strictly adhere to data security and compliance baselines, using AI for intelligent monitoring of cross-border data flows to meet regional regulatory requirements like GDPR. Third, deeply adapt to local labor policies, religious customs, and cultural habits, with AI comprehensively scanning regional differences to ensure localized deployment and employee care, building a stable and efficient global supply chain network.

As the core intelligent supply chain platform under DC HOLDINGS, Kejie has been established for over 20 years, holds a 5A-level logistics qualification, and has independently developed systems including the Supply Chain Control Tower, the KingKooData big data platform, and specialized OMS, WMS, and TMS systems. It manages over 160 warehouses, covering nearly 1 million square meters, with operations spanning 300 cities and a peak daily order processing capacity of 5 million orders. It maintains a leading position in supply chain services for industries like consumer electronics and smart communications.

Leveraging long-term accumulation in decision-making AI and innovation in generative AI scenarios, Kejie has developed full-cycle service capabilities encompassing AI consulting, solution design, system implementation, and joint co-creation, offering customized digital intelligence supply chain solutions for sectors like consumer electronics.

At this conference, Kejie demonstrated its core strength in the deep integration of technology and business through its practical AI philosophy, implementable scenario solutions, and global service capabilities. Moving forward, Kejie will continue to leverage its enterprise-grade AI workbenches and end-to-end digital intelligence supply chain services to collaborate with consumer electronics companies, transforming AI from a technological concept into tangible business efficiency, helping enterprises reduce costs, improve efficiency, and expand globally safely, jointly building a new ecosystem of intelligent, efficient, and resilient global supply chains.