When it comes to less-than-truckload (LTL) shipping, speed and accuracy aren’t nice-to-haves, they are the difference between profitable freight and margin-eating nightmares. By integrating National Motor Freight Classification® (NMFC)™ Data via the ClassIT+™ application programming interface (API), you will transform your freight classification experience from slower, manual reference workflows to a real-time, API-driven system that is built for accuracy and performance.
So, how does integrating NMFC Data into your technology management software (TMS) affect your company? Let’s take a closer look.
With the ClassIT+ API integrated into your TMS, you get instant access to NMFC Data, including real-time data updates without interruption. Your TMS can call the API the moment shipment details are entered, returning the correct NMFC item, class, and other information within half a second and most averaging a quarter second. That means your team can calculate accurate freight classes and produce dependable estimates in real-time.
Thanks to the stability of its RESTful API architecture, ClassIT+ leverages powerful tactics to keep your data accurate, fast, and up to date, making it easier for you to integrate your TMS with the NMFC Data. Integration is straightforward and offers benefits of enhancing scalability, flexibility, and simplicity to your processes.
“We’re using leading-edge technology for ClassIT+, including everything at our disposal to make this the fastest performing, most secure suite of software that we’ve put out to date,” shared Sean Greenberg, director of engineering for NMFTA.
Whether your system processes dozens or thousands of shipments per hour, our API-driven classification scales beautifully to support high-volume automation without losing the robust strength of performance that our customers have come to expect from the ClassIT+ API.
“We have real-time monitoring, which includes not just alerts and dashboards for us to see what’s happening live, but we also use predictive monitoring so that the system automatically adapts to varying amounts and trends of traffic,” added Greenberg.
Because the NMFC Data is updated regularly, maintaining data accuracy without the ClassIT+ API is guaranteed to mean delays and ongoing overhead maintenance to your TMS. Using the ClassIT+ API as a live data service removes the need for extra elbow grease and allows you to focus on other projects.
By integrating ClassIT+ API with your TMS, you can treat NMFC classification as a real-time service instead of a slow, static one. Your ClassIT+ API can help you reliably build accuracy, robust performance, and adaptability into your technology with ease by utilizing the following key features:
The ClassIT+ API makes it easy to connect to the NMFC Data you need to be a competitive player in the LTL world. And getting started is fast and simple.
Ready to get started and integrate the NMFC Data into your TMS? It’s as easy as 1, 2, 3.
And don’t forget about our ClassIT+ API Sandbox, letting you safely test and validate your integration before deploying to production, limiting surprises and ensuring a smooth launch.
Seamlessly integrating NMFC Data with your TMS is made simple with the ClassIT+ API, helping unlock real-time data workflows that enhance accuracy and operational efficiency. To learn more, check out our available resources:
Sarah Cottrell has nearly two decades of experience in lifestyle reporting, freelance writing and editing, and creative writing. Currently serving as the Technical Writer and Editor for National Motor Freight Traffic Association, Inc. (NMFTA)™, Sarah leverages her vast experience in the writing and publishing industry to drive and innovate the NMFTA product documentation. Her combined experiences give her a strong foundation in clear and engaging communication that she uses to make complex information accessible by crafting user-friendly documentation and knowledge bases for the NMFTA. Beyond technical writing and editing, Sarah has a deep appreciation and love for literature, art, and music, which influence her approach to storytelling and content creation, including work on a full-length novel.