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hot_img Xiaohongshu has created an "AI Shopping Guide" feature that directly pushes product cards and order links in conversation scenarios

According to an exclusive report from "Du Jia," Xiaohongshu is developing a brand new "AI Shopping Guide" feature, which relies on a conversational interaction model to directly push product cards and attach order jump links in Q&A scenarios. This project is led by Daoxuan (Pan Boyuan). As of the time of publication, Xiaohongshu has not responded.Previously, Xiaohongshu launched an AI summary feature in store reputation, and this AI shopping guide is a further extension of its intelligent transaction chain. According to public data, Xiaohongshu has approximately 400 million global MAU, with 39 million users engaging in explicit purchasing behavior daily, resulting in 140 million active purchase requests, over 47 million users entering merchant live streams, and more than 170,000 merchant group chats remaining active. During the 618 period, the GMV of store broadcasts increased by 265% year-on-year, and note content drove transaction growth of over 210%.Xiaohongshu currently adopts a dual transaction model of "internal marketplace closed loop plus external traffic diversion," and there is still room for improvement in the direct order conversion rate within the platform. The launch of the AI shopping guide feature is expected to further enhance its internal e-commerce GMV and revenue.

hot_img OpenAI releases user profile data for ChatGPT users in various countries: the proportion of "execution" in work scenarios is twice that of daily use, and the proportion of users over 35 has increased by 5 percentage points

On August 6, OpenAI first released usage data of ChatGPT across various countries, showing significant differences in usage across different scenarios, ages, and regions. In work scenarios, users utilizing ChatGPT for execution tasks (writing, editing, analyzing, etc.) accounted for over 50%, more than twice that of non-work scenarios; non-work scenarios are still primarily focused on "information retrieval." By age group, the proportion of messages from users over 35 years old globally increased by 5 percentage points year-on-year, with France and the Czech Republic seeing increases of over 10 percentage points. Nearly three-quarters of European countries exceeded the global average increase, while some regions in Southeast Asia saw smaller increases.Regionally, Latin America, Africa, and Oceania are narrowing the gap with early adopters, with Peru, Uruguay, and Costa Rica showing the fastest rankings rise. Multimodal (such as image generation and analysis) is the fastest-growing use case, with its global share rising to 7.8%, exceeding 10% in countries like Brazil and Colombia. OpenAI stated that the relevant data has been made public through the OpenAI Signals platform, aimed at helping policymakers and researchers understand the usage trends of over 1 billion users.

Viewpoint: The next stage of tokenization will be "personalized portfolios," rather than just improving settlement efficiency

According to CoinDesk, Thomas Sy, head of multi-asset solutions at New York Life Investment Management (NYLIM), stated that the core application of the next phase of tokenization will be to achieve "personalized portfolio construction," rather than merely enhancing settlement efficiency or extending trading hours.NYLIM manages approximately $807 billion, with about $11 billion overseen by Sy's team. He pointed out that blockchain technology is expected to enable asset management institutions to customize complex portfolio strategies for different investors on a large scale, a capability that is currently difficult to achieve within the traditional financial system.Sy indicated that the core of asset management will shift towards "highly customized" solutions in the future, and blockchain is the only technological path that can achieve this goal at scale. He believes that tokenization is not just about putting ETFs, bonds, or private credit on-chain, but more importantly, about reconstructing the way portfolios are built.He also noted that current asset portfolios typically involve a mixed allocation of ETFs, bonds, and private assets, but due to operational complexities, personalized strategies are difficult to scale. Tokenization is expected to "embed customization logic into the assets themselves," reducing operational costs and enhancing efficiency.In addition, Sy stated that stablecoins have become a key entry point for traditional finance to enter the blockchain space, with the current scale of stablecoins exceeding $300 billion, being used for cross-border payments and fund management. He believes this trend will gradually drive institutional demand for on-chain income-generating assets.In the area of decentralized finance (DeFi), NYLIM is still researching related applications, but Sy emphasized that institutional participation still requires more mature infrastructure, including the improvement of tokenized collateral, clearing mechanisms, and the prime brokerage service system.
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