Continuously verify loads will hit their delivery appointments and flag risk early. Built for how LTL freight actually moves. This is exactly the kind of high-volume, rules-based work that a purpose-built AI agent handles better than a busy desk — and it’s what FastFreight’s Tracking Agent was built to do.
The problem with manual on-time delivery monitoring
By the time a late delivery is obvious, it’s too late to fix — and the customer already knows before you do. LTL adds class, dimension, and multi-stop complexity that multiplies the manual touches per shipment.
How the agentic workflow runs
The Tracking Agent is the primary actor, but it does not operate in isolation. A load event, inbox message, status change, or scheduled check triggers the workflow; the agent reads context from ELD / GPS feeds, Office 365, and Your TMS, applies your operating rules, and hands exceptions or high-impact decisions to a person.
- 1Models the required pace to hit each delivery appointment.
- 2Watches live progress against that pace throughout transit.
- 3Raises an early warning the moment a load trends late.
- 4Notifies customers proactively so there are no surprises.
What you get
- Improve on-time delivery percentage measurably
- Give customers early warnings instead of after-the-fact apologies
- Protect accounts by catching risk while it’s still fixable
The point of automating on-time delivery monitoring is not to replace your reps — it is to hand the repetitive, rules-based portion to the Tracking Agent so your people spend their time on relationships, negotiation, and the exceptions that actually need judgment.
Works with your existing stack
No rip-and-replace. This automation connects to ELD / GPS feeds, Office 365, and Your TMS and layers onto the tools your team uses today, so on-time delivery monitoring improves without a migration project.
How FastFreight implements this workflow
- 1Map the current on-time delivery monitoring SOP, including triggers, decisions, handoffs, and exception paths.
- 2Connect ELD / GPS feeds, Office 365, and Your TMS and identify the source of truth for every required field.
- 3Configure authority limits, service rules, escalation thresholds, and human approval points for the Tracking Agent.
- 4Launch on a controlled set of live freight, review the audit trail, and compare outcomes with the current process.
- 5Tune the workflow and expand coverage only after the agent consistently performs inside the approved guardrails.
FastFreight provides both the agent platform and the implementation work. Dispatchers, carriers, and brokers supply the operating knowledge; our team translates it into a connected, governed workflow and continuously improves it as the operation changes.
Frequently asked questions
How early can it flag a late load?
As soon as a load’s pace drops below what’s needed to make the appointment — often hours before a human would notice.
Does this work for LTL as well as truckload?
Yes. The workflow applies to both — LTL simply has more line items and stops, which is exactly where automation removes the most manual effort.
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On-Time Delivery Monitoring Automation for Freight Brokers
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AI Freight Tracking Automation for Freight Brokers
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