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Turvo
概述
公司介绍
Turvo 是一个实时协作物流平台,可连接任何人、任何地点以移动物品。 Turvo 为托运人、经纪人和承运人创造了一种更智能的方式,可以无缝地协同工作以更快地完成工作。它希望将希望运送物品的人们联系起来。 Turvo 致力于让托运人、经纪人和承运人等通过桌面和手机上的软件界面实时协作。它的平台支持跨公司协作、实时可见性(其移动应用程序跟踪从发货到交付的货物)以及计费和付款(想想可以即时共享的数字发票和可以安排的付款)。
物联网解决方案
边缘到云智能平台1. 关键任务基础设施始终可用。 Turvo 的基础架构跨多个可用区运行,以确保容错并降低停机风险。我们构建的所有内容都是并行化的,以消除单点故障。无限可扩展。动态资源分配可针对日常工作负载的波动进行优化,以便您按需获得所需的响应时间和吞吐量。 2. 企业级云安全设计。 Turvo 在多租户平台上运行,该平台旨在通过传输和静态加密来保护和保护您最重要的数据。企业级 99.9% 的 SLA。跨多个数据中心的并行工作负载具有可靠的电源和备份系统,让您高枕无忧,这正是您对企业级系统的期望。 3.云原生架构灵活抽象。微服务架构使我们能够独立于平台中的其他服务部署、升级和管理单个服务。自主管理。 Turvo 的高度自动化、容器驱动、自我修复的基础设施可以自动提供、配置、监控和动态分配资源。 4. 安全地连接到任何东西统一连接。将 Turvo 安全地连接到本地或云端的应用程序、数据和设备。使用 API 驱动的访问调用管理数据移动。连接到您的数据。 Turvo 具有与流行业务应用程序的本地连接器,例如:SAP、Oracle、Salesforce、Workday、QuickBooks 和 Xero。 5. Context-Aware上下文驱动的体验。上下文集成到界面的各个方面,提供态势感知,以便从任何地方快速采取行动。智能动作。实时模式检测和复杂事件处理推荐操作并自动化工作流程。
物联网应用简介
Turvo 是应用基础设施与中间件等工业物联网科技方面的供应商。.
技术栈
Turvo的技术栈描绘了Turvo在应用基础设施与中间件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
实例探究.
Case Study
Partnerships in Supply Chain Innovation: Ryder System, Inc. and Turvo
Ryder System, Inc. was facing a significant challenge in connecting its supply chain, which included shippers, receivers, carriers, and service providers, in a single network environment. The company was struggling with the silos created by disparate technology and manual processes. The lack of a unified platform was causing inefficiencies and hindering the ease of use of modern, cloud technology for its customers. The company needed a solution that could integrate these disparate systems and processes into a single, efficient, and user-friendly platform.
Case Study
Partnerships in Supply Chain Innovation
Motus Freight was facing a significant challenge due to the large amount of manual work involved in routine shipments. This was not only time-consuming but also inefficient. The company's vision was to create 'the perfect shipment' - a streamlined, automated system that would unite their supply chain and enhance productivity. The challenge was to transform their existing processes and systems to achieve this vision.
Case Study
Vine Line Logistics Leverages Turvo’s Collaborative TMS to Fast-Track Growth
Vine Line Logistics, a third-party logistics provider, was facing growth limitations due to the restrictive capabilities of their outdated and costly on-premise transportation management software (TMS). The company needed to upgrade to a modern solution that would enhance efficiency, automation, collaboration, and visibility, thereby driving greater revenue. They were looking for a solution that could create a flexible, collaborative portal for customers, carriers, and staff, offload TMS software and hardware maintenance support and costs using a scalable SaaS, cloud-based solution, and upgrade the user interface to appeal to modern digital users internally and externally. They also wanted to simplify and expand solution integration capabilities, streamline onboarding of electronic data interchange (EDI) customers, reduce training requirements with a more intuitive solution, and generate larger revenue opportunities with customers.
同类供应商.
Supplier
AUVESY-MDT
AUVESY-MDT is a solid medium-sized enterprise based in Rhineland-Palatinate, Germany. The software octoplant offers worldwide a secure solution for version control and data management in industrial automation. This leading version control software is the basis to heighten production efficiency by reducing errors and downtime; and monitor and control automation projects.傲晖数据软件(南京)有限公司是AUVESY-MDT在中国的全资子公司,与西门子、施耐德、三菱、微软等合作伙伴携手已为全球50多个国家安装3200多套软件。AUVESY-MDT研发的versiondog/octoplant用来统一管理各种自动化设备(如:PLC/机器人/HMI/CNC/相机/压机/拧紧机/工控机/马达驱动等),且不受制造商的限制,实现灾难恢复以提高运营效率,并减轻网络安全攻击,保持生产连续不间断。集团总部位于德国兰道。
Supplier
SupplyShift
SupplyShift is a secure, cloud-based enterprise supply chain management platform for companies with many suppliers to reduce risk and enhance visibility and responsibility in supply chains. SupplyShift encourages competition and information sharing to drive visibility and responsibility improvement. Buyers collect and analyze supplier information and risk profiles through SupplyShift, while suppliers get a dashboard that tells them where they stand compared to their industry peers. Buyers gain access to more responsible suppliers through the cloud-based sharing of information, and suppliers can access information about how to improve.Key features of SupplyShift:>> Provides a system to collect multi-tier supply chain information based on custom scorecards or existing standards. >> Enables buyers to flexibly analyze information collected from suppliers. >> Incentivizes competition among suppliers to drive supply chain improvements by making anonymous supplier scores visible to all suppliers within a sector or product category. >> Facilitates supplier improvement by providing a system for suppliers to share information about best practices and actions taken to reduce impact. >> Expands options for responsible sourcing by allowing buyers to compare their own suppliers with anonymous scores of other suppliers in the system within the same sector or product category. >> Improves data quality: (a) buyers use internal algorithms to identify outliers; (b) suppliers upload and buyers view documentation and verification information; (c) buyers can contract third party verification of data at an additional cost.
Supplier
SenSat
SenSat turns complex visual and spatial data into a real time simulated reality that helps computers solve real world problems. The cloud-based technology allows companies operating in physical domains, such as infrastructure construction, to make more informed decisions based on multiple variables at large scale and complexity. SenSat call this ??òVisual Intelligence???, a subset of Artificial Intelligence focussed on teaching computers how to understand and interact with the real world.Their simulated realities replicate real-world locations in real time, bringing clarity to complex visual and spatial data. This helps you to make smarter, faster and safer decisions based on real world information. Their cloud-based technology Mapp? allows companies operating in physical domains to make more informed decisions based on multiple variables at large scale and complexity.