工业品出海 | 如何破解中国制造全球化核心痛点

Core Insights - The article discusses the transformation of Chinese industrial products from "trade export" to "brand export" in the context of global supply chain restructuring, highlighting the challenges faced and the solutions provided by the "Industrial Products Going Abroad Partner Program" launched by Yuan Dian Think Tank and Yuexin Chain [2] Group 1: Challenges in Industrial Products Going Abroad - Market decision-making blind spots exist due to a lack of systematic screening capabilities for 233 countries, leading to missed opportunities and significant costs [4] - There is a brand recognition gap as Chinese companies often lack a brand visual system that aligns with local aesthetics and culture, resulting in poor value communication [5] - Channel construction is hindered by long setup times of 6-12 months and inefficiencies in identifying downstream decision-makers, leading to ineffective promotion [6] - Barriers to large-scale projects arise from the need for deep understanding of local policies and bidding rules, which many companies lack [6] Group 2: Systematic Solutions Offered - The program offers core analysis to transition from "blindly going abroad" to "precise navigation," utilizing AI to streamline the preparation of standardized materials and reduce research time from 6 months to 1.5 months [8] - Localization of digital infrastructure aims to bridge the brand recognition gap by reconstructing brand visuals and enhancing technical document translation, reducing brand recognition time by 30% [9] - A product trade initiative focuses on precise customer targeting, shortening the customer identification process from 3-6 months to 1-2 weeks and increasing order conversion rates by over 25% [9] - The program provides specialized services for large-scale projects, including feasibility reports and resource integration, improving the chances of winning bids by over 30% [10] Group 3: Innovative Model for Collaboration - The program shifts from "single-point solutions" to "full lifecycle support," combining AI technology with ecosystem operations to drive three major transformations: from experience-driven to data-driven decision-making, from product export to value output, and from solitary efforts to collaborative ventures [12] - This innovative approach addresses real pain points in going abroad and redefines the value positioning of Chinese manufacturing in the global supply chain, paving new paths for "Chinese intelligence" to enter the world market [13]