Download PDF
Taimen Partners with Turvo to Enable Collaborative Logistics and Increase Efficiency by 400%
Technology Category
- Platform as a Service (PaaS) - Connectivity Platforms
- Analytics & Modeling - Real Time Analytics
Applicable Functions
- Logistics & Transportation
Use Cases
- Fleet Management
- Supply Chain Visibility
- Real-Time Location System (RTLS)
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
The Challenge
Taimen Transport, a North American 3PL, was struggling with manual supply chain processes that were exhaustive and costly. They had to compile data from multiple carriers, LSPs, and other sources, which was a time-consuming process. Creating carrier scorecards based on manual reviews of performance information was another challenge. They were spending an average of two hours daily on check calls alone. Their processes were rigid and could not handle sudden disruptions. They also had trouble integrating with other systems due to outdated processes. All these challenges were limiting their scalability and growth.
About The Customer
Taimen Transport is an established North American 3PL (Third-Party Logistics) provider. They are known for their exceptional cradle-to-grave customer service and focus on areas such as automated creation of carrier scorecards through analytics, real-time data visibility into driver location and status, instant uploading and implementation of digital document management capabilities, and faster payment processing to keep partner relationships thriving. Prior to their partnership with Turvo, Taimen had an exhaustive, costly process for handling each of these tasks. In pursuit of more scalability, Taimen recognized the need for a technology-driven culture of excellence and chose to partner with Turvo.
The Solution
Taimen partnered with Turvo to increase efficiency and enable future scalability. They used Turvo's analytics to understand the financial and accounting details that matter most in a business that faces shrinking profit margins. Document management features within Turvo allowed Taimen to better collaborate with other supply-chain partners and beyond. Turvo Messenger replaced the need for an endless email chain, all while taking advantage of @tagging features that reduce clicks and help people work together more efficiently. The partnership ensured business continuity to future-proof Taimen’s supply chains with robust digital and workflow transformation processes, improved customer service, greater speed of execution and increased visibility across all transactions. They also implemented faster payment processing through automated freight settlement capabilities in Turvo Pay for both ACH and paper check payments.
Operational Impact
Quantitative Benefit
Related Case Studies.
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
Leading Tools Manufacturer Transforms Operations with IoT
Stanley Black & Decker required transparency of real-time overall equipment effectiveness and line productivity to reduce production line change over time.The goal was to to improve production to schedule, reduce actual labor costs and understanding the effects of shift changes and resource shifts from line to line.
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.