技术
- 分析与建模 - 机器学习
- 传感器 - 化学传感器
适用行业
- 农业
- 矿业
适用功能
- 物流运输
用例
- 最后一英里交付
- 港口自动化
服务
- 数据科学服务
关于客户
该客户是一家成立于 20 世纪 80 年代的专业化学品经销商。该公司以其在促进全球制造商向工业消费者供应化学解决方案方面的市场专业知识而闻名。该公司在超过 11 个国家/地区拥有强大的业务和 3000 多种产品组合,为所有主要市场提供服务,包括农业、橡胶、化妆品、润滑油、采矿等。它是化学品分销领域的领先品牌之一,每月处理 200 多批国际货运。
挑战
该公司是一家领先的化学品分销商,业务遍及超过 11 个国家,由于疫情导致的港口拥堵影响了全球贸易,该公司面临着重大挑战。每月有超过 200 件国际货运,确保及时交付是首要任务。然而,港口拥堵扰乱了该公司超过51%的发货量。港口长时间延误影响了该公司供应商的生产周期,特别是在远东、北美和欧洲,影响了各地区的交货时间表。由于船舶在港口外排队以及周转时间增加,该公司还面临运力紧缩的问题。由于缺乏对空间可用性的了解以及交货时间的变化,确保货舱变得具有挑战性。此外,由于缺乏有关港口延误的可靠信息以及跟踪更新效率低下,让利益相关者了解到达时间的变化、转运延误等变得越来越困难,从而出现了沟通差距。
解决方案
该公司寻求一种能够提供港口延误可见性并优化其货运计划的解决方案。 GoComet 的 GoTrack 自动货运跟踪模块提供了解决方案。借助专有的机器学习算法,GoComet 的 Port Delay 智能工具可以计算全球主要港口的延误情况,并自动通知该公司影响其货运的不确定性。该公司还获得了实时货物跟踪功能,通过先进的跟踪技术接收有关货物的确切位置和移动情况的实时更新。这使该公司能够解决潜在的瓶颈并优化发货计划。该平台还根据实地开发和数据分析提供延误和预计到达时间的预测更新,为物流团队提供可行的见解。该平台生成的运营商服务报告帮助他们识别最可靠的服务提供商。此外,GoComet 平台还与公司利益相关者共享特定订单的实时跟踪更新,从而增强了客户体验。
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