Savi Technology
概述
公司介绍
Savi 是将大数据分析、数据科学和机器学习应用于运输中可见性的领导者。我们为世界上最大和最复杂的供应链开发创新的物联网(IoT) 和在途可视性解决方案。超过 1,000 家公司和政府组织依靠 Savi 应用程序来减少供应链中断、提高交付绩效并降低物流成本。有关 Savi 的更多信息,请访问 www.savi.com。
物联网解决方案
母公司
物联网应用简介
技术栈
Savi Technology的技术栈描绘了Savi Technology在分析与建模, 网络与连接, 传感器, 和 功能应用等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
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实例探究.
Case Study
Global 50 CPG Company Enhances In-Transit Visibility & Analytics
A Global 50 Consumer Packaged Goods (CPG) company was facing significant challenges with its North American truck shipments, averaging 25,000 per month. The company lacked a system for real-time monitoring of inventory in-transit, leaving operation team members in the dark about real-time disruptions and unable to prevent or mitigate late or non-delivery for their customers. The company's new strategic cross-docking network was underperforming due to inaccurate inbound Estimated Time of Arrivals (ETAs), which reduced the number of goods that could be cross-docked. The company's Transportation Management System (TMS) and Enterprise Resource Planning (ERP) systems were not receiving real-time information and rarely received shipment plan updates. Consequently, the company had to employ hundreds of people to manually update ETAs by making check calls to carriers, drivers, and customers. This manual process was not only time-consuming and error-prone but also latent, with disruption reports often received well after they occurred.
Case Study
Improve Just-in-Time Production with Real-Time Tracking of Goods
A leading global CPG company faced challenges in their European sector due to on-time delivery complications for shipments that crossed multiple land and sea borders. The company needed to plan heavily around the estimated time of arrival (ETA) of raw goods at their production facilities, which were limited on space. Receiving goods just-in-time for production was essential to minimize stock levels and avoid delays in production schedules. Therefore, they required a solution that would provide greater visibility and accurate ETAs to ensure timely receipt of materials.
Case Study
Radically Improve Operations with Estimated Time of Arrival
A large Consumer Packaged Goods (CPG) company needed end-to-end supply chain visibility with an emphasis on timeliness. Their current visibility was limited to the day of delivery and lacked precise and accurate time of arrivals, causing numerous operational inefficiencies. The company had previously invested in traditional solutions, such as warehouse and transportation management systems, and spent millions of dollars working with several consulting and technology providers who didn’t deliver the results or solutions they needed. Ultimately, they were left relying on drivers to provide estimated time of arrivals (ETA) and employees to manually update statuses.
Case Study
Transform and Improve Your Operations with True Visibility
One of the world’s leading biotechnology companies, focusing on developing therapies for multiple sclerosis, hemophilia, and other autoimmune disorders, needed true end-to-end supply chain visibility. This pharmaceutical company ships their therapies around the world, often through high-risk areas to reach their patients. With individual shipments worth 20-30 million dollars, supply chain performance and visibility are of utmost importance. Despite this, they did not know the current routes taken between origin and destination sites and, consequently, they were unaware of specific areas of risk or loss. As a result, this company needed better insight into the actual performance of their supply chain to optimize route performance and identify areas of risk for securing their goods from theft.
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