鲜生活冷链融资B+轮坚持科技+资本双驱动｜产业融资快报

胡镤心 2024-11-05 10:51

胡镤心 2024/11/05 10:51

邦小白快读

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鲜生活冷链完成近9亿元B轮融资，成为中国冷链物流行业最大单轮融资，坚持科技+资本双驱动战略。

1. 公司通过并购+自建模式，快速覆盖全国31省、2800区县和108万门店，服务超5000家B端客户，TOP20客户覆盖率超60%，提供高效率、低损耗的全链服务。

2. 投入AI技术提升实操效率，包括AI智能调度秒级匹配30万车辆、AI-SOP指令模型优化运营流程、AI风控平台1小时内完成结算、数智供应链控制塔实时监控运输时效和货物完好率。

3. 中国冷链市场规模达733亿美元（2023年），占全球25%，政策环境利好，科技属性强的企业更具竞争优势。

4. 日均接单量超10万、入网冷链车超30万台、入网云仓超1100万平米，合作企业超3000家，展示强大履约能力。

冷链物流助力品牌商应对消费趋势和提升品牌渠道建设。

1. 消费模式变迁推动冷链需求增长，中国冷链市场规模733亿美元，占全球25%，居民收入提升加速生鲜产品流通，为品牌研发和定价提供数据支持。

2. 鲜生活提供全程可视化服务，如数智供应链控制塔实时展示温度达标率等KPI，确保产品品质，减少损耗，优化品牌营销和用户体验。

3. 合作机会包括利用其108万门店履约网络，门店配送日历帮助规划货物配送，提升库存管理，反向促进服务改进，形成双向互动循环。

4. 代表人物席刚强调数智化是核心竞争力，品牌商可借鉴AI技术如智能调度，提升渠道效率和用户行为响应。

冷链物流市场增长带来政策利好和合作机会，卖家可借鉴鲜生活模式应对变化。

1. 政策环境支持冷链基础设施高质量发展，各级政府推动行业扩张，市场规模733亿美元，分散竞争格局中科技头部企业占优，提供增长市场。

2. 消费需求层面，居民收入提升和模式变迁驱动机会，鲜生活通过并购+自建快速扩张，覆盖2800区县，卖家可学习其规模化策略和风险规避。

3. 事件应对措施包括AI技术应用，如AI风控平台解决结算慢痛点，AI-SOP指令模型优化运营，减少负面影响；合作方式涉及超3000家物流企业，扶持政策体现在全程服务降低损耗。

4. 最新商业模式为科技驱动，日均接单超10万，卖家可关注数智化供应链提升效率，抓住108万门店网络带来的分销机会。

冷链物流为工厂提供产品生产和数字化启示，创造商业机会。

1. 产品生产需求方面，鲜生活提供从源头到门店的全程冷链服务，确保生鲜食品安全，减少损耗，工厂可借鉴其温度监控和货物完好率管理。

2. 商业机会体现在合作超5000家B端客户，包括生产贸易企业，利用其履约网络覆盖2800区县，优化库存和配送规划。

3. 推进数字化启示包括AI技术应用，如AI智能调度模型优化运力匹配，AI风控平台实现快速结算，解决行业痛点；数智供应链控制塔提供全程可视，工厂可学习提升电商效率。

4. 数据支持如沉淀300亿条数据，工厂可参考其专利和软著成果，构建敏捷供应链，应对市场需求波动。

冷链行业技术革新解决客户痛点，服务商可把握趋势和解决方案。

1. 行业发展趋势向智能化升级，中国冷链市场规模733亿美元，政策支持科技头部企业，鲜生活通过AI重做产业链，实现提效降耗。

2. 新技术包括AI智能调度秒级优选车辆、AI-SOP指令模型嵌入运营流程、AI风控平台验真160+节点、数智供应链控制塔实时监控，提升效率。

3. 客户痛点如运价不稳定、结算慢、运营人员短缺，鲜生活解决方案通过AI定价模型和T+1H结算解决；全程可视追踪优化资源配置，减少异常。

4. 数据案例包括日均接单超10万、入网车超30万台，服务商可参考其500+数据服务方案，开发类似工具应对行业挑战。

冷链物流平台需高效运营管理，鲜生活展示最新做法和招商机会。

1. 商业对平台需求包括高效履约和风控，鲜生活覆盖108万门店，需解决过程监管难痛点，通过数智供应链控制塔实现全程可视和KPI监控。

2. 平台最新做法如门店配送日历优化物流管理，提供用车频次和时效信息，帮助门店规划库存；AI技术嵌入运营，确保运配安全高效。

3. 平台招商涉及合作超3000家冷链物流企业，入网云仓超1100万平米，提供分布式组织架构支持；运营管理强调AI-SOP指令模型分单和调度，提升效率。

4. 风向规避通过AI风控平台保真验真，减少风险；数据如日均接单超10万，平台商可学习其并购+自建模式扩展网络。

冷链物流产业呈现新动向和商业模式创新，研究者可分析政策启示。

1. 产业新动向包括市场规模733亿美元（2023年），占全球25%，政策环境利好高质量发展，竞争格局分散，科技企业如鲜生活通过AI驱动领先。

2. 新问题涉及运营效率低和结算慢，鲜生活解决方案通过AI技术重做产业链，实现风控溯源和服务升级，代表人物席刚强调数智化是核心竞争力。

3. 政策法规建议启示各级政府推动基础设施发展，研究者可参考其数据如300亿条沉淀数据，分析智能化趋势；商业模式创新为科技+资本双驱动，并购模式快速扩张。

4. 案例包括超5000家客户服务，TOP20覆盖率超60%，研究者可探讨其80+专利和100+软著对产业标准的影响。

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Quick Summary

Fresh Life Cold Chain has completed a near-¥900 million Series B funding round, marking the largest single financing round in China's cold chain logistics industry. The company adheres to a dual-drive strategy of technology and capital.

1. Through a combination of mergers & acquisitions and self-building, the company has rapidly expanded its network to cover 31 provinces, 2,800 districts/counties, and 1.08 million stores across China. It serves over 5,000 B2B clients, with a coverage rate exceeding 60% among the top 20 clients, providing high-efficiency, low-loss end-to-end services.

2. It invests in AI technology to enhance operational efficiency, including AI-powered intelligent dispatching for second-level matching of 300,000 vehicles, an AI-SOP instruction model to optimize workflows, an AI risk control platform enabling settlement within one hour, and a Digital Supply Chain Control Tower for real-time monitoring of transport timeliness and cargo integrity.

3. China's cold chain market reached $73.3 billion in 2023, accounting for 25% of the global market. A favorable policy environment grants a competitive advantage to technology-intensive enterprises.

4. Key operational metrics include over 100,000 daily orders, a network of more than 300,000 refrigerated vehicles, over 11 million square meters of cloud warehouse space, and partnerships with over 3,000 companies, demonstrating strong fulfillment capabilities.

Cold chain logistics aids brands in adapting to consumer trends and enhancing channel development.

1. Evolving consumption patterns are driving cold chain demand. China's $73.3 billion market, representing 25% of the global total, is fueled by rising disposable incomes accelerating fresh product circulation, providing data to support brand R&D and pricing.

2. Fresh Life offers fully visible services; its Digital Supply Chain Control Tower displays real-time KPIs like temperature compliance rates, ensuring product quality, reducing spoilage, and optimizing brand marketing and user experience.

3. Collaboration opportunities include leveraging its 1.08 million-store fulfillment network. A store delivery calendar aids in shipment planning, improving inventory management, while feedback loops foster service improvements, creating a mutually beneficial cycle.

4. Representative Xi Gang emphasizes digital intelligence as a core competency. Brands can learn from applied AI technologies, such as intelligent dispatching, to enhance channel efficiency and responsiveness to consumer behavior.

Growth in the cold chain logistics market presents policy tailwinds and partnership opportunities. Sellers can learn from the Fresh Life model to navigate changes.

1. Supportive policies promote high-quality infrastructure development. Government initiatives drive industry expansion within the $73.3 billion market, where tech-leading firms hold an advantage in a fragmented competitive landscape, offering a growth market.

2. On the demand side, rising incomes and changing consumption patterns create opportunities. Fresh Life's rapid expansion via M&A and self-building, covering 2,800 districts/counties, offers lessons in scaling and risk mitigation for sellers.

3. Practical measures include AI applications: the AI risk control platform addresses slow settlement pain points, and the AI-SOP model optimizes operations to minimize negative impacts. Collaboration involves over 3,000 logistics partners, with support policies manifesting in end-to-end services that reduce loss.

4. The latest business model is tech-driven, handling over 100,000 daily orders. Sellers should focus on digital supply chains to boost efficiency and seize distribution opportunities presented by the 1.08 million-store network.

Cold chain logistics offers insights for factory production and digitalization, creating business opportunities.

1. For production needs, Fresh Life provides end-to-end cold chain services from source to store, ensuring food safety and reducing spoilage. Factories can learn from its temperature monitoring and cargo integrity management.

2. Business opportunities arise from serving over 5,000 B2B clients, including manufacturers and traders. Factories can utilize its fulfillment network covering 2,800 districts/counties to optimize inventory and delivery planning.

3. Digitalization insights include applied AI: the intelligent dispatching model optimizes capacity matching, and the AI risk control platform enables fast settlement, addressing industry pain points. The Digital Supply Chain Control Tower offers full visibility, providing a model for factories to enhance e-commerce efficiency.

4. Data assets, such as 30 billion data points accumulated, offer reference. Factories can study its patent and software copyright achievements to build agile supply chains responsive to market fluctuations.

Technological innovation in cold chain logistics addresses client pain points, offering trends and solutions for service providers.

1. The industry trend is toward intelligent upgrades. China's $73.3 billion market, supported by policies favoring tech leaders, sees companies like Fresh Life using AI to reinvent the supply chain for efficiency and reduced waste.

2. New technologies include AI intelligent dispatching for second-level vehicle matching, AI-SOP instruction models integrated into workflows, an AI risk control platform verifying 160+ nodes, and a Digital Supply Chain Control Tower for real-time monitoring, all boosting efficiency.

3. It addresses client pain points like volatile freight rates, slow settlement, and staff shortages via solutions such as AI pricing models and T+1 hour settlement. End-to-end visibility optimizes resource allocation and reduces exceptions.

4. Data points include over 100,000 daily orders and a network of 300,000+ vehicles. Service providers can reference its 500+ data service solutions to develop similar tools for industry challenges.

Cold chain logistics platforms require efficient operations management. Fresh Life demonstrates latest practices and partnership opportunities.

1. Platform demands include efficient fulfillment and risk control. Covering 1.08 million stores necessitates solving process visibility challenges, achieved via the Digital Supply Chain Control Tower for end-to-end monitoring and KPI tracking.

2. Latest practices include a store delivery calendar optimizing logistics by providing delivery frequency and timeliness data to aid store inventory planning. AI is embedded into operations to ensure safe, efficient transport.

3. Partnership opportunities involve collaborating with over 3,000 cold chain logistics firms and a network of 11 million+ sqm of cloud warehouses, supported by a distributed organizational structure. Operations management highlights the AI-SOP model for order allocation and dispatching, increasing efficiency.

4. Risk mitigation is achieved through the AI risk control platform for verification, reducing exposure. Data like 100,000+ daily orders offers a benchmark; platform operators can learn from its M&A and self-build expansion model.

The cold chain logistics industry shows new dynamics and business model innovation, offering policy implications for researchers.

1. Industry dynamics include a market size of $73.3 billion (2023), comprising 25% of the global market. A favorable policy environment promotes high-quality development. In a fragmented competitive landscape, tech-driven firms like Fresh Life lead through AI.

2. Key challenges involve low operational efficiency and slow settlement. Fresh Life's solution uses AI to reinvent the supply chain, enabling risk control, traceability, and service upgrades. Representative Xi Gang emphasizes digital intelligence as the core competitive edge.

3. Policy implications suggest governments should promote infrastructure development. Researchers can analyze intelligentization trends using its data assets (e.g., 30 billion data points). Business model innovation is characterized by a dual tech-capital drive and rapid expansion via M&A.

4. Case study data includes serving over 5,000 clients with >60% coverage of the top 20. Researchers can explore the impact of its 80+ patents and 100+ software copyrights on industry standards.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

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【亿邦原创】近日，鲜生活冷链宣布完成数亿元人民币B+融资，由蜀信同源、宁波兴奉产业集团等机构投资，原股东置信建远持续跟投。至此，鲜生活冷链B轮融资总额度已接近9亿元人民币，成为中国冷链物流行业单轮最大融资。本轮融资完成后，鲜生活冷链将继续坚持以“科技+资本”双轮驱动，进一步扩大在国内冷链物流行业的领先地位。

鲜生活冷链成立于2016年，是新希望集团旗下的冷链食品通路服务公司，为餐饮企业、生鲜零售企业、生鲜食品生产贸易企业提供从源头到门店的全程冷链供应链服务。

目前，鲜生活冷链拥有数智冷链、冷链控股、冷链科技、冷链产服、商流数控、食材控股和海外供应链7大事业群，在全国建立了100余家分支机构。同时拥有超2800区县和108万+门店的履约网络，构建了“全网、全链、全程、全时”的食材行业履约基础设施。

亿邦动力注意到，鲜生活冷链通过“并购+自建”的发展模式，快速成长为全国最大的To B科技冷链供应链企业，建立了覆盖全国的冷链物流运力网络。

区域头部企业的并购，使得鲜生活冷链规模实现连续倍速发展，具备全国、全网交付履约能力。截止目前，已累计服务超5,000家B端客户、细分行业TOP20客户覆盖率超60%、履约网络触达108万门店，覆盖全国31省、2,800区县，为客户提供高效率、低损耗的全链服务。

同时鲜生活冷链持续投入科技研发，实现冷链物流全链路数智化管理、全流程场景可视、全端口一键式线上操作，包括：

1）AI智能调度：科技赋能运力匹配与定价，提升行业运力采购效率

AI智能调度产品利用“附近车辆+历史线路承运车+返程返空车辆+附近已合作承运商”等策略，在30万车辆中秒级优选车辆达成智能匹配选车；并且通过AI驱动精准车辆定价，以“车辆设备硬件成本+司机刚性劳务成本+管理成本+供需议价成本“等数据模型因子与智能定价算法，实现单车单司机的精准控价。解决行业临时发货用车、客户需求季节性波动、运价不稳定等痛点。

2）AI-SOP指令模型：科技赋能运营，提升行业运营效率

AI-SOP指令模型将AI嵌入到冷链物流整体运营SOP中，形成了分单指令、调度指令、监控指令、对账指令和经营指令的大数据模型，确保货物准确分配到车、合理安排司机工作任务、优化运输路线和资源配置、持续监督运配过程中各个环节、及时发现并处理异常情况、保证运配费用的准确计算和核对，解决冷链物流行业有经验的运营人员短缺、各客户操作SOP各不相同操作繁琐的行业痛点。

3）AI风控平台：科技赋能风控，提升行业风控标准

通过订单保真、结算保真、履约保真的三真风控模型对结算链条的160+风控节点进行AI风控验真，AI风控平台确保整个运配履约过程的数智化品质与风险管理。在完成货品签收后的1小时内（T+1H），AI风控平台即可快速完成整个结算流程，解决行业难对账、结算慢、效率低的痛点。

4）数智供应链控制塔：科技赋能实现全程可视化，提升行业履约标准

全程数字大屏实时展示运输时效、货物完好率、温度达标率等核心KPI，利用多种技术手段对人、车、货进行全方位实时监控，运途可视追踪确保运输安全高效。门店配送日历优化物流管理，掌握门店用车与时效信息：门店配送日历为门店提供了清晰的用车频次和时效信息，门店可以提前规划货物配送安排，合理安排人力和库存。便捷订单追溯与反馈机制：门店可以随时查看签收回单照片，实现物流订单的全程可追溯。方便了门店管理物流业务，也反向促使冷链物流改进服务，提升服务质量和体验时效，形成良好的互动循环，双向互动，解决物流行业过程履约监管难的痛点。

截止目前，运荔枝系统内已累计沉淀数据超过300亿条，AI改造节点超过100个，数据服务方案超过500例，获得80+项专利、100+项软著，构建了一套以软硬件为支撑、物联网为链接、AI为辅助决策手段的立体产品架构体系，为企业打造敏捷、弹性、高效的端到端数智化供应链，优化业务指标，提升运营能力。日均接单量超10万、入网冷链车超30万台、入网云仓超1,100万平米，合作冷链物流企业超3,000家。

随着人均可支配收入提升及居民消费模式变迁，中国冷链物流行业发展迅速。中国物流与采购联合会于2024年6月28日发布的《中国冷链物流发展报告（2024版）》报告指出：我国冷链市场需求持续增长，2023年我国冷链市场规模达到733亿美元，占全球冷链市场规模的比重约为25%。

近年来，各级政府积极推进冷链物流基础设施和服务的高质量发展，为冷链物流企业的发展创造极为有利的政策环境。国内冷链市场竞争格局高度分散，预计未来科技属性含量高的头部企业将处于更有力的竞争位置。

草根知本总裁、鲜生活冷链董事长席刚认为：数智化建设是冷链物流行业发展的核心竞争力。着眼未来，在“新质生产力”提升的大趋势下，冷链物流企业不仅需要做好数字化，更需要积极拥抱智能化。过去一段时间，我们鲜生活冷链物流在产业标准化基础上，用数字化重构了一次产业链，成就了行业中的领先地位。下一步，我们必须极速拥抱数智化。在已有的数字化优势基础上，用Ai再重做一次产业链，实现提效降耗，风控溯源，服务体验上的全面升级。

贵阳创投副总经理杨俊表示：数字化转型和智能化升级将成为冷链物流行业发展的重要趋势。鲜生活冷链坚持做到商流、物流和资金流的紧密结合，持续的智慧化投入，能在当前市场环境下业务规模每年翻倍增长实属不易。业务单元庞大下优秀的分布式组织架构和优秀的管理团队，将带领鲜生活持续深耕冷链物流行业的智慧化，为客户提供更加优质的物流解决方案，助推整个冷链物流行业实现更高质量的发展。

文章来源：亿邦动力