Genpro Goes all in with Turvo’s Cloud TMS
公司规模
200-1,000
地区
- America
国家
- United States
产品
- Turvo’s Cloud TMS
技术栈
- Cloud-based SaaS
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
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
关于客户
Genpro Inc. is a New Jersey-based non-asset transportation provider, specializing in temperature-controlled freight. For over 30 years, Genpro has delivered innovative transportation solutions to its customers. With an ongoing dedication to continuous improvement, Genpro creates new paths for its customers and carriers by leveraging the company’s industry experience, superior technology, and knowledgeable staff. In a marketplace built on countless variables, Genpro provides a competitive advantage with its high level of service and reliability in both the temperature-controlled and dry freight marketplace.
挑战
Genpro, a non-asset transportation provider, was facing challenges with its existing Transportation Management System (TMS) which was not supporting and meeting the vision and plan for future growth. The company needed a more accessible, scalable TMS with integrations to connect partners to critical planning and shipping information. The solution required to automate redundant shipment tasks, centralize and connect internal and external stakeholder views, simplify the user interface, scale to support growth, and respond in real-time to customers and carriers managing volume and capacity allocations.
解决方案
To meet the demands of how freight needs to be transacted and executed in the future, Genpro decided to implement Turvo’s scalable, cloud-based collaboration SaaS platform. This decision was based on its ease-of-use, process flow efficiency, tracking, and integration capabilities. Turvo partnered with Genpro to identify and eliminate manual processes in its transportation management operations. Turvo enabled streamlined workflows and user collaboration across operations, sales, and finance on a single platform. The solution focused on infrastructure, differentiation, cost containment, capacity, and visibility.
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
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.
