Xianyu Unveils 600 Million Users and AI Agent at COP29: Reshaping the Used Goods Trading Experience and Driving AI-Powered Sustainable Development
Xianyu Unveils 600 Million Users and AI Agent at COP29: Reshaping the Used Goods Trading Experience and Driving AI-Powered Sustainable DevelopmentDuring a China Corner side event at the 29th United Nations Climate Change Conference (COP29) in Azerbaijan on November 18th, Xianyu CTO Chen Jufu announced that the platform's registered users have surpassed 600 million, and unveiled the "Xianyu AI Agent." This marks the industry's first deep application of AI technology to the used goods trading scenario, representing a landmark step for Xianyu in its journey towards green and low-carbon development
Xianyu Unveils 600 Million Users and AI Agent at COP29: Reshaping the Used Goods Trading Experience and Driving AI-Powered Sustainable Development
During a China Corner side event at the 29th United Nations Climate Change Conference (COP29) in Azerbaijan on November 18th, Xianyu CTO Chen Jufu announced that the platform's registered users have surpassed 600 million, and unveiled the "Xianyu AI Agent." This marks the industry's first deep application of AI technology to the used goods trading scenario, representing a landmark step for Xianyu in its journey towards green and low-carbon development. Unlike other platforms that play a supporting role in green and low-carbon development, Xianyu's green development philosophy is rooted in the very essence of reusing idle goods, with improving the circulation efficiency of these goods as its core strategy. The "Xianyu AI Agent" was created precisely to achieve this goal efficiently.
This industry-leading large language model, built upon AI technology and Xianyu's massive data, aims to optimize the user experience across the entire used goods trading process, significantly improving the circulation efficiency of idle items. Its applications span the entire transaction lifecycle, from pre-sale credit assessment to post-sale dispute resolution, showcasing the powerful enabling role of AI technology.
In the pre-sale phase, the core of the "Xianyu AI Agent" is the "Yu Li Zhi" (Fish Power Value) credit scoring system, built on large language models and data technology. "Yu Li Zhi" helps users more accurately assess the creditworthiness of both buyers and sellers, allowing them to choose more suitable trading partners and reduce transaction risks. Data shows that over a year since its launch, "Yu Li Zhi" has successfully reduced the average time users spend finding suitable trading partners by 13.66 minutes, effectively improving transaction efficiency and user satisfaction.
During the sale process, the "Xianyu AI Agent" simplifies the transaction process and enhances user experience through a series of innovative features. For example, the "Smart Posting" function allows users to post items with just one uploaded image, including intelligent pricing. An average of 60,000 users utilize this function daily, resulting in over 200,000 items posted. The "Smart Consignment" service, which entered gray testing in October, provides busy individual sellers with 24/7 item consignment services, including intelligent replies to buyer inquiries, intelligent dynamic pricing, and shipping reminders, effectively solving the problem of seller time management. Within a month of gray testing, daily new consignment sellers have exceeded 10,000. Furthermore, the upcoming "AI Model Fitting Room" feature will use AI to generate model fitting images, protecting seller privacy while showcasing the item more effectively and accelerating sales.
Offline, the "Xianyu AI Agent" plays a crucial role in improving the efficiency of Xianyu's recycling stores. AI algorithms optimize store operations, using large language model intelligent valuation and posting capabilities to shorten the offline waiting time for users to queue, upload items, and get valuations, while also improving the accuracy of item valuation. Importantly, AI-driven intelligent traffic allocation enables online-offline synergy, accurately targeting nearby online users with offline items, expanding sales channels. This has resulted in a 102% increase in daily postings from offline stores and a halving of the time it takes to sell goods, significantly improving store operational efficiency and profitability.
In after-sales service, the "Xianyu AI Agent" integrates deeply with the Xianyu mini-court, further enhancing the fairness and impartiality of the dispute resolution mechanism. With the diversification of used goods categories, complex disputes have arisen, some exceeding the comprehension of ordinary users. To address this, the Xianyu AI intelligent task assistant was developed. It identifies dispute types and matches each task with the most suitable reviewer based on factors such as the reviewer's expertise, interests, review quality, and bias, improving review efficiency and judgment accuracy. Furthermore, the AI mini-court effectively identifies the core disagreements between disputing parties and provides evidence suggestions, helping users improve their evidence materials, ultimately reducing the rate of case returns by 15.8%.
Chen Jufu stated that Xianyu's current AI applications are concentrated in key scenarios, but future plans include gradually expanding the scope of AI applications from point-like to comprehensive coverage, integrating digital technology into all aspects of platform transactions. He envisions a future where each Xianyu user will have a dedicated "AI advisor." Users would simply interact with the AI advisor on the Xianyu homepage, expressing their needs, allowing the AI advisor to handle all aspects of the used goods trading process, realizing a truly intelligent and convenient used goods trading experience.
Xianyu's exploration of AI began in 2023, initially focusing on solving the pervasive trust issue in used goods trading. The "Yu Li Zhi" credit scoring system effectively increased trust between buyers and sellers, reducing transaction friction. Since then, Xianyu's AI application exploration has accelerated, with the launch of numerous AI products covering all stages of transactions. These AI applications not only improve user experience but also provide strong technological support for the sustainable development of used goods trading.
In conclusion, the launch of the Xianyu "AI Agent" is not only a testament to Xianyu's technological upgrade but also a significant transformation for the used goods trading industry. It effectively addresses many pain points in used goods trading, improves transaction efficiency and user experience, and drives the entire industry towards a more intelligent, convenient, and sustainable path. This is not only Xianyu's commitment to green and low-carbon development but also a valuable exploration of future digital economic development models. As AI technology matures, the Xianyu "AI Agent" will continue to evolve, providing users with a superior used goods trading experience and contributing more to building a sustainable digital economy. Xianyu's success provides valuable experience and guidance for other platforms on how to promote green and low-carbon development in the digital age.
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