- Complexity: Advanced
- Deployment: HeyQuinn recommended
The problem
LTL freight brokers manage pickups across thousands of carriers and customers. A single missed pickup ripples across every co-loaded shipment on that route, and resolving it manually means a person calling carriers, gathering status, and deciding on rebooking or rerouting.
- Unconfirmed or failed pickups require manual carrier outreach to diagnose
- A missed pickup delays every co-loaded shipment on that route
- Unnecessary carrier return trips add cost and delay
- Coordinators spend hundreds of hours a day checking pickup status by hand
The solution
A two-agent workflow detects unconfirmed pickups, gathers carrier information, and recommends a resolution action, while people keep the exception decisions.
- Monitors the TMS for pickups that exceed the expected confirmation window
- A contact agent reaches out to carriers to gather status on unconfirmed or failed pickups
- A decisioning agent processes the gathered information and determines the correct next action
- Writes the resolution status back to the TMS
- Routes any case outside defined resolution parameters to a coordinator for human review
Where people stay in control
- A coordinator reviews and resolves any case that falls outside standard resolution parameters
- Escalation paths are defined for exceptions the agents cannot resolve
- Carrier-facing communication is limited to information gathering, not final decisions
Systems and data
The workflow reads pickup and load status from the TMS, communicates with carriers to gather pickup information, and writes resolution actions and status updates back to the TMS.
- TMS
- carrier communications
Results
- The system automates 95 percent of missed pickup checks in the documented deployment
- More than 350 manual hours of work per day were eliminated in the documented deployment
- Freight moves up to one full day faster in the documented deployment
- Unnecessary carrier return trips dropped by 42 percent in the documented deployment
Why HeyQuinn is recommended
The workflow coordinates two agents in parallel with defined escalation paths for exceptions, which argues for HeyQuinn recommended deployment with monitoring and governance across the agent handoffs.
Frequently asked questions
Does AI resolve missed pickups without a person involved?
No. The agents detect and investigate missed pickups and recommend a resolution, and a coordinator reviews any case outside standard parameters.
How many agents work on this workflow?
Two. One agent contacts carriers to gather information, and a second agent processes that information to determine the next action.
What data does the workflow use?
It reads pickup and load status from the TMS and writes resolution actions and status updates back to it.