值得买科技AI研究员张立飞介绍，ACP是"对话即购物"的底层技术标准，也是连接AI能力与商业价值的 关键基础设施，并将在AI时代创造无限新机遇。 新浪科技讯 11月26日晚间消息，值得买科技11月AI进展分享会上，值得买科技CTO王云峰介绍，"海 纳"MCP Server合作伙伴数量破40家，11月对外输出量破1亿，在具体场景中还助力荣耀YOYO实现定向 优惠券发放、自动领券及全网比价功能。AI购物管家"张大妈"不仅实现了活跃用户环比增长8倍、平均 次留环比增长24%，还通过A2A协议入驻华为小艺智能体中心。此外，核心产品"什么值得买"11月 AIGC阅读时长占比相比去年同期提升4倍。 今年10月，值得买科技与微盟达成战略合作，将自身消费数据服务能力与微盟SaaS商业操作系统深度融 合，率先在国内建设AI电商交易闭环。在11月的分享会上，王云峰也透露，在与微盟合作基础上，将 进一步与支付宝合作探索AI支付服务，构建起"AI智能体、用户、商家与支付平台"协作交易闭环。 据悉，"海纳"ACP将率先在"张大妈"App中实现场景落地，实现用户从"对话-推荐-下单-支付"的全流程 无缝衔接，并形成AI电商的可验证样本。 ...

AUSTIN, Texas, Nov. 25, 2025 (GLOBE NEWSWIRE) -- Commerce.com, Inc. (Nasdaq: CMRC) (formerly BigCommerce Holdings, Inc.), a provider of an open, intelligent ecosystem of technology solutions that empower businesses to unlock data potential and deliver seamless, personalized experiences at scale, today announced the following upcoming investor conference presentations. Chief Executive Officer Travis Hess and Chief Financial Officer Daniel Lentz will present and host meetings with institutional investors at: ...

Market Overview - In the third quarter of 2025, the US equity market experienced a rally, with the S&P 500 Index increasing by 8.12% [1] - Bonds also performed well, as indicated by a 2.03% rise in the Bloomberg U.S. Aggregate Bond Index during the same period [1] Performance Analysis - Aristotle Atlantic's Large Cap Growth strategy achieved a gross return of 9.76% and a net return of 9.61%, underperforming the Russell 1000 Growth Index, which returned 10.51% [1] - The relative underperformance of the fund was attributed to security selection during the quarter [1] Company Spotlight: Shopify Inc. - Shopify Inc. (NASDAQ:SHOP) is highlighted as a key stock, providing a cloud-based platform for businesses to start, scale, market, and operate [2][3] - Over the last month, Shopify's stock saw a decline of 11.34%, but it gained 37.93% over the past 52 weeks, closing at $146.04 per share on November 14, 2025, with a market capitalization of $187.593 billion [2] - The company focuses on enhancing the shopping experience for consumers and streamlining operations for merchants through its comprehensive, multi-channel platform [3] - Shopify's business model includes recurring subscription solutions and merchant success-based solutions, supporting millions of merchants across over 175 countries [3] - The platform allows for seamless management of products, sales, and customer relationships across various channels, emphasizing continuous innovation and robust infrastructure [3]

Core Insights - Liquid AI has formed a partnership with Shopify to license and deploy its Liquid Foundation Models (LFMs) for quality-sensitive workflows on Shopify's platform, focusing on enhancing search capabilities with a sub-20ms text model [1][3] - The partnership includes the co-development of a generative recommender system utilizing a novel HSTU architecture, which has shown improved conversion rates in testing compared to previous models [2] Group 1: Partnership Details - The partnership formalizes ongoing co-development efforts and follows Shopify's investment of $250 million in Liquid AI's Series A funding round in December 2024 [1] - The collaboration encompasses a multi-purpose license for LFMs across low-latency, quality-sensitive workloads, ongoing R&D collaboration, and a shared roadmap for future developments [4] Group 2: Model Performance - Liquid's LFMs are designed for sub-20 millisecond, multimodal, quality-preserving inference, outperforming popular open-source models like Qwen3, Gemma3, and Llama 3 with approximately 50% fewer parameters while achieving 2-10 times faster inference [3][4] - The models are tailored for applications in e-commerce, including personalized ranking, retrieval-augmented generation, and session-aware recommendations, ensuring production robustness and low-variance tail latency [4] Group 3: Executive Insights - Liquid AI's CEO emphasized the importance of reliable, efficient, and fast models for decision-making in various sectors, highlighting the partnership with Shopify as a validation of their technology at scale [3] - Shopify's CTO noted the unique capability of Liquid's models to deliver sub-20ms inference on real workloads, which is crucial for powering interactive commerce [4]

New Feedonomics for Advertising and Feedonomics Listing & Orders apps deliver enhanced data automation and governance for Shopify merchantsAUSTIN, Texas, Nov. 05, 2025 (GLOBE NEWSWIRE) -- Commerce (Nasdaq: CMRC), an open, intelligent ecosystem of technology solutions and the parent company of AI-enriched product feed management solution Feedonomics, today announced the launch of new capabilities for Shopify merchants to help maximize reach, enhance data, simplify operations and scale. To expand and formaliz ...

Core Viewpoint - GigaCloud Technology Inc will report its financial results for Q3 and the nine months ended September 30, 2025, on November 6, 2025, after market close, followed by a conference call to discuss the results [1]. Company Overview - GigaCloud Technology Inc is a pioneer in global end-to-end B2B technology solutions for large parcel merchandise, offering a comprehensive B2B ecommerce platform known as the "GigaCloud Marketplace" [3]. - The GigaCloud Marketplace integrates discovery, payments, and logistics tools, connecting manufacturers in Asia with resellers in the U.S., Asia, and Europe for efficient cross-border transactions [3]. - The company launched its marketplace in January 2019, initially focusing on the global furniture market and has since expanded into home appliances and fitness equipment [3].

Core Points - Commerce.com, Inc. (formerly BigCommerce Holdings, Inc.) will report its financial results for Q3 2025 on November 6, 2025, before market open [1] - A conference call to discuss the financial results and business highlights is scheduled for 7:00 a.m. CT (8:00 a.m. ET) on the same day [2] - The conference call will be accessible via phone and a live webcast on the company's investor relations website [2] - A telephone replay of the call will be available until November 13, 2025, along with a webcast replay for 12 months [3] Company Overview - Commerce provides an open, AI-driven commerce ecosystem that empowers businesses to innovate and grow [4] - The company connects various tools and systems to help businesses unlock data potential and deliver personalized experiences [4] - Commerce is trusted by notable brands such as Coldwater Creek, Cole Haan, and Puma, providing them with the necessary tools to operate confidently in a multi-surface world [4]

Core Insights - Phoebe Gates, daughter of Bill Gates, has founded an AI shopping platform named Phia, which recently secured $8 million in seed funding [1][5] - Phia aims to enhance the online shopping experience by allowing users to compare prices across different platforms and track price changes, targeting efficiency and cost-effectiveness [4][3] Company Overview - Phia is a shopping platform co-founded by Phoebe Gates and Sophia Kianni, designed to help consumers find fashionable items while saving money and time [3][4] - The platform utilizes image recognition and search algorithms to provide personalized product recommendations and has partnered with over 150 e-commerce platforms [4] Funding and Valuation - Prior to the recent funding round, Phia completed a $1.2 million pre-seed round with a post-money valuation of $15 million [5] - The recent $8 million seed round was led by Kleiner Perkins, resulting in a post-money valuation of $32 million, with notable investors including Kris Jenner and Sheryl Sandberg [5] Entrepreneurial Background - Phoebe Gates completed her studies at Stanford University before fully committing to Phia, having initially discussed her entrepreneurial aspirations with her parents [7] - She has leveraged her social media presence, with over 500,000 followers on Instagram and 2.71 million on TikTok, to promote the platform [7] Future Aspirations - Phoebe Gates aims to make Phia successful enough to invest in female-led companies, addressing the disparity in venture capital funding for women [7]

Core Insights - EngageLab showcased its omnichannel customer engagement solutions at E-Commerce Expo Asia 2025, attracting significant interest from e-commerce innovators and industry leaders [1][2] - The company's platform integrates various communication channels, enhancing customer engagement and driving higher conversions and retention for e-commerce brands [2][3] Company Overview - EngageLab is a leading provider of AI-powered omnichannel customer engagement solutions, operating in over 220 countries and regions, delivering over 1 million messages per second [8] - The company focuses on innovation and performance, enabling businesses to build lasting relationships with customers [8] Product Highlights - EngageLab's platform includes features such as AppPush, WebPush, Email, SMS, WhatsApp, and OTP, allowing brands to create personalized customer journeys [3][8] - GPTBots, a flagship product under Aurora Mobile, offers end-to-end enterprise AI agent solutions, enhancing operational efficiency and customer support for e-commerce brands [6][9] Keynote Insights - Jerry Yin, Group Vice President of GPTBots & EngageLab, emphasized the importance of true omnichannel engagement in his keynote speech, highlighting how businesses can unify customer touchpoints for better market penetration [4][5] Market Trends - The demand for intelligent, scalable AI solutions in the e-commerce sector is growing, with many brands expressing interest in integrating AI-powered customer support [7][6]

Core Insights - Commerce has launched Feedonomics Surface, a new solution aimed at simplifying and automating the management of product feeds for advertising channels like Google Shopping and Meta [1][2][3] Group 1: Product Features - Feedonomics Surface allows merchants to create, manage, and synchronize high-quality product feeds without extensive technical knowledge, enhancing return on advertising spending [2][3] - The solution provides streamlined access to major platforms, enabling quick market reach expansion for merchants [5] - It leverages AI and automation for product categorization, feed creation, and synchronization, significantly reducing technical complexity and saving time [5] Group 2: Merchant Benefits - Merchants benefit from reliable and accurate data, with automated syncing minimizing errors and maximizing performance [5] - The solution is scalable, starting with a free version and allowing seamless upgrades as business data needs grow [5] - Merchants have direct control over their product data, with options for manual overrides and large-scale transformations to optimize data for each channel [5] Group 3: Future Developments - Commerce plans to enhance Feedonomics Surface with additional AI features, advertising channels, and generative AI capabilities for data optimization [4]