The truckload market is highly fragmented, and matching capacity is a problem that only mega brokerages have solved until now.
The siloed truckload data is typically interpreted through spreadsheets, notebooks, and tribal knowledge-making, finding truckload capacity cumbersome.
Zengistics Case Study
Below is a case study from a freight brokerage that uses C4 by Cargo Chief. Zengistics picked up unique patterns through C4’s project workflow, prioritizing lanes with more notable results and less effort.
Zengistics reduced spot buys by 20%, increasing margins. The brokerage also pre-booked 15% more freight, increasing another 200 loads per month while saving 28 hours weekly.
+400%
Carrier Expansion
+15%
Increase in pre-bookings
+200
More loads booked per month
28 hours
Per week saved from pre-booking more freight
C4 gives access to over 600,000 truckload carriers using AI and machine learning to match the most likely carrier to a given lane digitally.
- Automate brokerage carrier outreach instead of haphazardly using load boards.
- Save between 5 to 15% with backhauls with data from C4 organized specifically for finding truckload capacity.
Watch C4 in Action
Check out the link below to see a demo of C4 at the Future of Freight conference by FreightWaves.
ShipMind Freight Automation