1688发布2025产业带报告：AI从“生意搭子”跃升为产业“智能中枢”

Report Core Insights: AI's three-stage evolution in industrial belts and actionable guidelines, offering practical market opportunities with data-driven case studies.

1. AI Evolution Path: 2024-2025 marks the "AI-as-Tool" phase, where AI embeds as point solutions for efficiency; 2026-2027 enters the "AI Symbiosis" phase, deeply integrating with core operations; post-2028 ushers in the "AI-Native" era, with AI autonomously driving decisions and innovation.

2. Action Guide: First, adopt AI to build "Silicon Factories" for real-time demand sensing, dynamic order visibility, and end-to-end quality control; second, prioritize certainty through robust quality control, stable fulfillment, and superior service; third, embrace dual-circulation strategies to capture cross-border opportunities unlocked by AI.

3. Data & Cases: Yiwu leads China in AI application activity; second-generation factory owners efficiently manage operations via a three-step strategy (taking over e-commerce, joining 1688, adopting AI); a Wuhu shoe team of 6 achieves ¥150M annual sales; a Dongguan accessories factory tops its category in 15 days; a Shenzhen 3C accessory factory hits ¥11M in new product sales within 38 days.

4. Market Opportunities: Price-based competition wanes as factories with reliable delivery gain market recognition; Chengxintong AI edition users see 20% more buyers, 73% GMV growth, 31% higher repurchase rates, and save ¥100,000 annually.

Brand-Focused Insights: Factory evolution and AI-driven product innovation, emphasizing brand building and consumer trends.

1. Brand Transformation: Source factories accelerate from OEMs to brand owners, leveraging C2M models to connect directly with consumers, gaining product definition and pricing power—own-brand growth emerges as a key highlight.

2. R&D & Marketing: AI powers trend forecasting, precision marketing, and quality traceability (e.g., Guangzhou apparel/beauty, Shenzhen electronics cases), building vertical moats; consumer trends shift to user-centric operations with highly non-standardized demands requiring personalized solutions.

3. Channels & Pricing: Dual-circulation strategies capture domestic and international opportunities via AI-enabled global reach; price competition weakens as service reliability boosts brand premium, favoring factories with stable delivery.

4. User Behavior: Second-generation factory owners heavily adopt AI, sharing e-commerce insights; data shows AI enhances marketing and customer acquisition, with Chengxintong AI edition driving significant transaction growth.

Policy Support & Market Opportunities: Analysis of industrial policies, 1688 initiatives, and risk mitigation, with growth strategies.

1. Policy Insights: Five key directives—return to实体经济, advance "AI+" strategy, encourage digital trade, promote integrated development, and flexible global expansion; crackdown on恶性内卷 to enhance product and service certainty.

2. Support & Collaboration: 1688 launches "AI Acceleration · Industrial Belt Business Sprint Plan," guaranteeing 50k visitors, 500 inquiries, and 300 orders, with a ¥6,688 red packet if unmet; reduces penalties for non-subjective fulfillment issues, pledges AI as core growth driver by 2026.

3. Opportunities: AI bridges domestic and international trade via dual-circulation; parallel shifts in outsourcing (abroad) and insourcing (inland); learn from the three-step strategy (e-commerce takeover, 1688 entry, AI adoption) of second-generation owners.

4. Risk Management: Price内卷 fades, reducing over-reliance on individual experience; ensure quality and fulfillment stability to avoid inefficient decision chains; AI cuts operational risks by 30%.

Production Needs & Business Insights: AI application guide, regional opportunities, and digital practices for transformation.

1. Action Guide: Embrace AI to build Silicon Factories for real-time demand sensing and smart production scheduling; prioritize quality, fulfillment, and service certainty; leverage dual-circulation for cross-border opportunities like AI-direct global buyer connections.

2. Regional Dynamics: Eastern regions (Guangdong, Zhejiang, Jiangsu) upgrade as demand hubs; central areas (e.g., Henan) see fast digital growth among specialized SMEs; western zones (e.g., Sichuan) expand niche categories; industrial belts (Yiwu, Guangzhou, Shenzhen) gain order concentration with AI-enabled flexible response.

3. Case Studies: Wuhu 6-person shoe team hits ¥150M sales via AI; Dongguan accessories factory tops category in 15 days; Shenzhen 3C factory achieves ¥11M new product sales in 38 days; second-generation owners widely use AI for low-cost management.

4. Business Opportunities: Factories evolve into brand owners with rising own-brand presence; capacity shifts to Southeast Asia while high-value manufacturing moves inland; Chengxintong AI edition saves ¥100k annually, reducing difficulty by 50%.

Industry Trends & Solutions: AI evolution, client pain points, and enabling tools for innovation.

1. Trends: AI in industrial belts evolves through three phases (tool, symbiosis, native), with AI2B becoming next-gen digital infrastructure driving AI-native supply chains; eastern regions lead, central areas grow fast, western zones expand coverage.

2. Tech Applications: AI enables data-driven product selection, smart scheduling, and flexible response (e.g., Yiwu case); Chengxintong AI edition integrates AI across the chain, boosting buyers by 20% and GMV by 73%.

3. Client Pain Points: Fragmented supply, non-standard demand, inefficient decision chains, and hard-to-codify experience; solutions include AI-driven demand sensing, order visibility, and quality control, cutting operational risk by 30%.

4. Enabling Tools: 1688’s AI products are used daily by 290k+ merchants; learn from cases like second-generation owner strategies, where AI boosts efficiency and saves ¥100k annually.

Platform Needs & Operations: 1688’s latest moves, merchant safeguards, and risk avoidance for enhanced support.

1. Platform Demands: Merchants need reliable delivery and AI integration (e.g., stable quality, fulfillment, service); challenges include supply fragmentation and transaction inefficiency, addressed via AI empowerment.

2. Latest Initiatives: 1688’s "AI Acceleration · Industrial Belt Business Sprint Plan" guarantees visitors, inquiries, and orders for new merchants, with red packets if unmet; reduces non-subjective fulfillment penalties, commits to AI as growth core by 2026.

3. Merchant Operations: Platform hosts 1M+ merchants, 290k daily AI users; Chengxintong AI edition lifts repurchase rate by 31%, attracting AI-native stores with ¥100k+ monthly sales; operations focus on risk mitigation (e.g., reducing over-reliance on experience).

4. Support Measures: Data shows AI users achieve significant transaction growth; platform resources favor stable-delivery factories; encourage three-step strategy (e-commerce, platform entry, AI adoption) for efficiency.

Industry Shifts & Policy Implications: Intelligent leapfrogging, emerging issues, and business models for research frameworks.

1. New Dynamics: Industrial belts historically leap from digital to intelligent, with AI2B reshaping industrial logic and value distribution; three-phase evolution (tool, symbiosis, native) accelerates AI-native supply chains.

2. Emerging Issues: Core challenges—extreme supply fragmentation, highly non-standard demand, inefficient decision chains, hard-to-reuse experience; "China+1" strategies highlight cross-border capability needs.

3. Policy Recommendations: Five directives—return to实体经济, advance "AI+" strategy, promote digital trade, foster integrated development, flexible global expansion; imply systemic complexity resolution to boost enterprise certainty.

4. Business Models: Factories transform from OEMs to brand owners; SMEs use AI agents to connect globally; own-brand rise via C2M; data shows Chengxintong AI edition improves efficiency and cuts risk by 30%.