用AI为数字化采购降本增效 齐心集团走在前列

Qixin Group leverages its self-developed Zhipan large AI model to drive cost reduction and efficiency gains in digital procurement, with over 40 business scenarios now automated. Key applications include promotional copy generation, intelligent processing of large-scale quotation requests, automated resume screening, and pre-sales proposal creation. The Qixin Channel Treasure platform demonstrates this through image-to-text and conversational interfaces that streamline product searches and policy queries. Future plans target over 90% AI penetration in core operations to optimize decision-making and lower procurement costs.

AI implementation cycles are remarkably short—addressing business needs in just 1-4 weeks—due to strong customer demand driving development. By integrating DeepSeek's model and historical data, Qixin continuously refines internal workflows for greater efficiency.

Qixin Group showcases AI's transformative role in brand marketing and product innovation, reflecting shifting consumer behaviors. As a leading service provider, its Zhipan model sets industry benchmarks in digital procurement, enhancing brand influence. Product development leverages industry-specific AI trained on general models, creating persona-based solutions like automated promotional content. Consumer trends reveal growing preference for intelligent interfaces—users can generate product descriptions from images, elevating experience.

User behavior analysis uncovers opportunities: AI assistants in Channel Treasure simplify searches and queries. With plans for near-total AI integration in core services, brands can expect smarter procurement processes and optimized decision support.

The article highlights growth opportunities and risks in AI-driven procurement. Sellers can capitalize on 40+ automated scenarios like pre-sales proposal generation, with development cycles as short as one week. However, limitations of general AI models—such as policy misinterpretation—pose service discontinuity risks, requiring vigilance on technical complexities. Key takeaways include Qixin's industry-specific model training leveraging Huawei Cloud's computing power to enhance service quality.

Positive impacts include AI-powered resume screening for precise talent acquisition. Sellers can emulate Qixin's DeepSeek integration to optimize operations. Implicit support policies emerge from Qixin's planned 90%+ AI penetration, creating partner value through cost reduction.

AI presents commercial opportunities for factories to optimize production and design through digital procurement. Cost-saving applications include intelligent quotation processing and automated solution generation. Customized client demands drive scenario development, offering efficiency benchmarks for factories. Digital transformation insights stem from Qixin's industry-model training approach, applicable to streamlining manufacturing workflows.

E-commerce integration lessons emerge from Channel Treasure's AI-assisted operations, enabling smart production demand management. With 90%+ AI penetration planned in core business, factories should accelerate digitization to enhance overall operational quality.

Industry trends point to deep AI-digital procurement integration, with Qixin's 40+ Zhipan model applications setting standards. New technologies include industry-specific model training using Huawei Cloud computing, with persona-based business alignment. Client pain points like policy comprehension gaps are addressed through dedicated model development.

Innovation is pain-point driven: general models meet only 60-70% of needs, causing service gaps. Qixin's deep research enables controllable solutions. Applications like AI resume analysis offer efficient talent sourcing. Future DeepSeek integration will enhance data-driven decisions and service efficiency.

Platforms require AI integration like DeepSeek for data-driven optimization. Qixin's digital platform exemplifies this with Zhipan-enabled automated proposals and intelligent operations. Management features like one-click import automatically identify technical requirements, boosting service quality.

Partnership opportunities arise from customer-driven scenario development, as seen in Channel Treasure's UX improvements. Risk mitigation requires awareness of general model limitations to avoid policy deviations. With 90%+ AI penetration targets, platforms should optimize end-to-end workflows.

AI acceleration in digital procurement marks an industry inflection point, with Qixin's 40+ automated scenarios demonstrating scale. Research challenges include general models' limitations in complex scenarios (e.g., policy interpretation), requiring deep customization. The business model shows AI-driven service innovation through client-customized applications.

Policy implications suggest training industry-specific models with cloud computing for efficiency gains. Future 90%+ AI penetration in core operations invites research into decision optimization and cost-reduction value creation.