特产交易在于产品本身，也在于营销推广。如何能让营销推广真正成为好产品的"放大器"？讲师在培训 会上称，广告的本质是"锦上添花"而非"雪中送炭"，在投放策略方面，要以良好的商品运营为基础才能 有效放大转化效果，可以综合运用单品推广、新品推广与全店推广"组合拳"，配合精准的CPC、ROI、 转化率等核心数据指标分析，实现更精准的触达与成本控制，从而实现营销推广高效化，真正做到"该 花钱的地方花足，不该花的地方省下"，以此来满足不同商家和客户的多样化需求。 河南日报客户端记者 王向前 勇立数字潮头，探寻特产好物。8月21日，2025特产馆商家培训交流会在京东（郑州）数字经济产业园 顺利举办，来自营销实战平台京准通的讲师们，为华中地区的40多家特产馆负责人上了一堂生动的营销 推广课。 此次培训交流会不仅为华中特产商家带来了前沿的营销方法与实操工具，更点燃了以数据驱动增长、以 精准触达用户的思维火花。培训期间，京东（郑州）数字经济产业园相关负责人还对园区进行了介绍， 全方位助力企业降本增效，推动数字经济与实体经济深度融合。 会后，讲师还为中国特产·灵宝馆、祥符馆、鹤壁馆等不同场馆的个性化问题，提供了具体可行的优化 建议 ...

Core Insights - JD's 618 shopping festival in 2025 saw over 100% year-on-year growth in the number of users placing orders, with total orders exceeding 2.2 billion [2] - AI-related products experienced significant sales growth, with AI laptops up 151%, AI tablets up 149%, and AI learning hardware up 120% [2] - The use of AI models increased by 130% compared to the previous year's Double Eleven event, with over 14,000 AI agents operating internally [2][3] AI Applications and Developments - JD has been utilizing AI technology since 2012, evolving from traditional methods to advanced NLP and deep learning techniques, achieving over 90% accuracy in AI applications [5] - The company aims to serve over 50,000 brand merchants with AI digital humans by the end of 2025, focusing on making AI technology more accessible [3] - JD's AI applications span retail, logistics, health, and industrial sectors, enhancing operational efficiency and reducing costs [6][7] Performance Metrics - During the 618 event, JD's AI-driven operations improved conversion rates in live streaming by 30%, with AI digital humans costing only one-tenth of human hosts [11] - The AI customer service system handled over 2.5 billion inquiries during the event, showcasing the scale of AI integration in customer interactions [11] - JD's logistics operations utilized AI models over 1.3 billion times, benefiting more than 500,000 frontline logistics employees [11] Future Directions - JD is exploring "embodied intelligence" technologies, integrating AI models with various hardware to enhance user interaction [12] - The company is focused on developing AGI through three main directions: large language models, multimodal capabilities, and embodied intelligence [12] - JD's industrial AI model, JoyIndustrial, aims for significant cost reductions in supply chain management, achieving a 99.3% reduction in technical costs [11]