下载PDF
Vine Line Logistics Leverages Turvo’s Collaborative TMS to Fast-Track Growth
技术
- 平台即服务 (PaaS) - 连接平台
适用功能
- 物流运输
用例
- 车队管理
- 供应链可见性(SCV)
服务
- 云规划/设计/实施服务
- 系统集成
挑战
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Logistics, a third-party logistics provider, was facing growth limitations due to the restrictive capabilities of their outdated and costly on-premise transportation management software (TMS).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.
关于客户
Vine Line Logistics is a growing, full-service, third-party logistics (3PL) provider based in Grand Rapids, Michigan. The company was founded in 2008 primarily to service the inbound transportation needs of food-service distributors, and has since expanded into raw materials, consumer products, and other markets. As the company matured, their future growth potential was limited due to the restrictive capabilities of their aging and costly on-premise transportation management software (TMS). The time had come to upgrade, so they began searching for a modern solution that would deliver greater revenue through efficiency, automation, collaboration, and visibility.
解决方案
Vine Line Logistics chose Turvo’s Collaborative TMS as their solution. Turvo addressed the company’s functional and operating concerns by rapidly replacing expensive in-house servers and maintenance with less costly, scalable, cloud-based infrastructure and modern TMS. They integrated with Vine Line’s prior sister company’s ERP system, ProducePro, and transferred Vine Line’s carrier network from the legacy TMS to Turvo. They added less-than-truckload order and shipment consolidation not available in the legacy TMS, simplified EDI connections for smoother, faster processing of orders for both low and high volume customers, consolidated driver communication devices to Turvo’s Driver App for load tracking on a single screen, and accelerated user acceptance and training.
运营影响
数量效益
相关案例.
Case Study
Remote Temperature Monitoring of Perishable Goods Saves Money
RMONI was facing temperature monitoring challenges in a cold chain business. A cold chain must be established and maintained to ensure goods have been properly refrigerated during every step of the process, making temperature monitoring a critical business function. Manual registration practice can be very costly, labor intensive and prone to mistakes.
Case Study
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.
Case Study
Vehicle Fleet Analytics
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.
Case Study
Zonar Takes the Wheel with a M2M Solution
Zonar’s fleet management solutions collect, report and analyze data before, during and after a vehicle’s trip. The company needed Machine-to-Machine (M2M) connectivity to enable communication between in-vehicle devices and back-end systems. To deliver high volumes of potentially sensitive information from and to moving vehicles – and keep pace with its rapid business growth – Zonar wanted a highly secure solution that it could easily manage and that had the required national and global reach.
