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1688全面AI化背后:商家如何避开智能选品时代的“数据陷阱”?
Sou Hu Cai Jing·2025-07-30 10:30

Core Insights - The launch of the AI version of the 1688 app and the free enterprise query tool "88查" signifies a major shift in Alibaba's B2B e-commerce strategy, aiming to revolutionize traditional wholesale models through enhanced efficiency [1][4] - The AI app integrates five core functions that address key pain points in traditional wholesale, including low selection efficiency, slow supply chain response, and information asymmetry [1][4] Group 1: AI Features and Benefits - The "88查" tool allows small and medium-sized businesses to verify supplier information at no cost, reducing the risk of engaging with fraudulent companies [3][4] - The AI selection feature transforms traditional procurement by predicting trending products and matching them with available suppliers, significantly reducing the time to find compliant suppliers by 80% [3][4] - The AI-driven system has raised concerns about the authenticity of recommendations, as businesses may struggle to discern the validity of AI suggestions [3][6] Group 2: Emerging Risks and Fraud - Cases of fraud exploiting AI mechanisms have emerged, including fake factory certifications and the use of stolen product images, leading to significant financial losses for businesses [6][8] - Affected businesses reported that AI recommendations often misled them into believing they were dealing with reputable suppliers, resulting in substantial financial losses [6][8] - Common fraud tactics include manipulating AI systems to bypass checks and creating fake reviews, which complicates the verification process for businesses [8] Group 3: Mitigation Strategies - Businesses can reduce risks by utilizing the "88查" tool alongside a five-step verification process, which includes checking business licenses and tracing supply chain connections [8][9][10] - Legal experts recommend that businesses maintain critical evidence, such as screenshots of AI recommendations and communication records, to support claims in case of disputes [11] - A mixed approach of using AI for initial screening followed by manual verification can enhance efficiency while maintaining quality control [12]