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Global 50 CPG Company Enhances In-Transit Visibility & Analytics
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技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
适用行业
- 消费品
- 运输
适用功能
- 物流运输
- 仓库和库存管理
用例
- 公共交通管理
- 实时定位系统 (RTLS)
服务
- 数据科学服务
- 系统集成
挑战
一家全球 50 强消费品 (CPG) 公司平均每月运送 25,000 辆北美卡车。由于没有实时监控在途库存的系统，运营团队成员不知道实时中断，使他们无法避免或减轻客户延迟或未交付的情况。
一个新的战略交叉对接网络无法实现高效目标，因为入站预计到达时间 (ETA) 不准确——减少了可以交叉对接的货物数量。运输管理系统 (TMS) 和企业资源规划 (ERP) 系统没有收到实时信息，也很少收到货运计划更新。
客户
包装消费品 (CPG)
关于客户
消费包装商品（CPG）是指一个行业内的空间，其中包含消费者在日常生活中使用的商品。这些商品是大规模生产的，一般寿命很短。 CPG 公司将他们的商品卖给零售商，而后者又卖给消费者。
解决方案
Savi 与该客户合作实施 Savi Visibility、我们的实时流传输在途跟踪和 ETA 解决方案。 CPG 公司要求他们的卡车承运人向 Savi 发送电子数据交换 (EDI) 和远程信息处理信息，而 Savi 则设置了与 CPG 的运输管理系统 (TMS) 之间的自动信息源，以记录计划的装运。
从运营商和 TMS 获取数据后，Savi 的大规模可扩展机器学习平台开始使用人工智能 (AI) 构建算法，以更准确地预测入站和出站 ETA。 Savi Visibility 用户界面提供所有货物实时状态的地图、列表和报告视图。
预测性警报，例如“Trending Late”和“Trending Early”，是使用特定于客户的时间、距离和延迟预测数量的阈值来确定的。预测性 ETA 和警报被发送到用户和企业资源规划 (ERP) 系统，实现 TMS、仓库管理系统 (WMS) 和堆场管理操作之间的同步。
运营影响
数量效益
相关案例.
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Case Study
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The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
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Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
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IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
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Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.
Case Study
Cold Chain Transportation and Refrigerated Fleet Management System
1) Create a digital connected transportation solution to retrofit cold chain trailers with real-time tracking and controls. 2) Prevent multi-million dollar losses due to theft or spoilage. 3) Deliver a digital chain-of-custody solution for door to door load monitoring and security. 4) Provide a trusted multi-fleet solution in a single application with granular data and access controls.
