全国首店落地：城市级"线上线下一体化"模式破解工业企业采购痛点 位于宿迁市宿豫区珠江路1003号的京东五金城宿迁旗舰店，是京东工业全国首家城市旗舰店。作为京东工业布局城市级工业服务的标杆，宿迁旗舰店区别 于此前昆山园区店的场景定位，聚焦城市全域工业企业需求，以"近场服务、精准匹配、深度绑定"为核心，构建全链路采购服务体系。 店内依托京东工业线上超8110万SKU的庞大商品池、智能比价系统及数字化管理工具，严选五金工具、机电设备、劳保用品等宿豫及周边企业高频刚需品 类，以及贴近客户的门店实体网络，打造"线下看样体验、线上一键采购"的灵活模式，所有环节均由京东工业独立运营，以阳光采购、正品行货的承诺， 统一线上线下（300959）服务标准，赋能区域产业链的每一位参与者。目前，已有3M、世达、德力西电气、诺力等众多国内外知名品牌入驻门店。 在服务能力上，旗舰店深度落地"5S"核心使命：作为销售中心，联动线上京东主站推出专属采购权益，同步释放批量采购折扣；作为服务中心，配备工业 品类专家团队，提供面对面技术咨询、产品选型及快速售后响应；作为履约中心，以"前置仓"模式实现3公里范围内2小时闪电送达，解决企业紧急补货需 ...

Core Insights - The article discusses the transformation of procurement processes at XCMG Group, emphasizing the shift towards a value-driven supply chain model facilitated by JD Industrial's digital supply chain solutions [1][12]. Group 1: Procurement Efficiency - XCMG Group has significantly reduced the procurement cycle for non-production materials from over 10 days to under 2 days, achieving cost reductions exceeding 10% [1]. - The collaboration with JD Industrial has enabled XCMG to streamline its procurement process, allowing for rapid matching and delivery of goods within 3 to 5 days when product descriptions are accurate [1][3]. Group 2: Challenges in Non-Production Procurement - Non-production materials, referred to as MRO (Maintenance, Repair, and Operations), present unique challenges due to their diverse and fragmented nature, complicating procurement management [5][6]. - MRO materials account for 5-10% of total procurement costs but represent 60-80% of management costs, indicating a significant inefficiency in the procurement process [6]. Group 3: Digital Transformation and Collaboration - The partnership between XCMG and JD Industrial involves a two-phase approach: first, the implementation of an MRO platform for online procurement, and second, enhancing management capabilities and value through data-driven strategies [8][11]. - The initial phase resulted in the optimization of suppliers from 170 to 18 for tools and labor protection materials, showcasing the effectiveness of data governance and standardization efforts [11]. Group 4: Future Directions - The collaboration aims to further integrate artificial intelligence into procurement processes, enhancing decision-making capabilities and expanding the supply chain network internationally [14]. - The successful model developed through this partnership is expected to be replicable across the industry, addressing common procurement pain points faced by many enterprises [14].