Skip to content
Example engagement · Logistics & Supply Chain

AI Shipment Status Agent for a Freight Brokerage

An agent that answers customer status requests from live tracking data and chases carriers for check calls, so brokers spend their time on coverage and sales.

Scroll
62%
Status requests answered automatically
2.5h
Broker time freed per day
3h earlier
Average late-load warning
Profile — Freight brokerage, 40 brokers, about 2,500 status requests a weekTimeline — 6 weeks to productionTeam — 3 engineers
Representative engagement: a composite of the AI work we deliver in this industry, not a named client's project. Figures are the outcomes this kind of build typically delivers, and they are the targets we agree and measure in a pilot before scaling.
The problem

Brokers spent hours a day answering status emails and calling drivers. Customers waited, and late-load warnings came too late to act on.

What we build

The approach.

  • 01Connected ELD and tracking feeds, carrier portals and the TMS.
  • 02Answered status requests by email and portal with the latest position and ETA.
  • 03Sent check-call messages to carriers when tracking went quiet.
  • 04Warned the broker early when a load was trending late.
Where the AI works

Claude reads the incoming request, finds the load, composes the update from live data and decides when a person needs to step in.

Claude APITypeScriptTMS APIELD / tracking APIsTwilio
Proof, not promises

How we measure it.

Automation rate counts requests closed without a broker reply. Time freed uses the measured handling time per request. Warning lead time compares alert time with the actual delay.

Questions

Before you ask.

Yes. Beyond Technologies labels automated replies and makes it one step to reach the broker.

When sources disagree or data is stale, the agent says so and asks the carrier, instead of reporting a position it cannot confirm.

Next step

Want this measured on your own data? Start with a pilot.

Book a call
AI for Logistics & Supply Chain →AI Agents →AI Integration →Next example: AI Freight Document Processing for a 3PL →Named client case studies →

Let's put AI to work in your business.

A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.

Book a call→