AI agents for freight brokers: quotes, carriers and check calls

Margin lives in the inbox

A brokerage's day is mostly messages. Shippers email quote requests in free text. Carriers reply with rates and availability. Drivers send photos of delivery receipts. Accounts payable asks where the signed bill of lading is. Each message needs a lookup, a decision and a reply, and speed counts: a quote sent an hour late is often a lost load.

Freight differs from general logistics because the broker does not own trucks. The product is matching and trust. That makes the agent's job clear: quote quickly within limits, find carriers who fit, keep everyone informed and keep the paperwork complete. For warehouses and fleet operators, see AI agents for logistics.

What we build

• A quote agent that reads a request for origin, destination, equipment, weight and dates, checks your lane history and margin rules, and drafts a quote for a rep to send or, within limits, sends itself.
• A carrier-sourcing agent that emails or messages your vetted carriers for a lane, collects rates and availability and ranks the replies for the rep.
• A check-call agent that asks for status at set points, records the answer in the TMS and alerts the rep to delays.
• A document agent that chases bills of lading and proof of delivery, checks the file against the load and flags mismatches.
• An invoicing agent that matches carrier invoices to rate confirmations and flags differences before payment.

It can connect to a transportation management system such as McLeod, Aljex, Revenova, Tai or Turvo, and to load boards and email where terms allow. We check each platform's rules on automated access before building.

Decisions the agent makes and those it hands over

Freight fraud, including carrier identity theft and double brokering, is a known problem. The agent never adds a carrier or changes payment details by itself. Those steps need a person and the checks your process already requires.

Authority, insurance and privacy

In the US, brokers operate under FMCSA authority and must maintain required financial security. Check with your lawyer or compliance adviser about your obligations and any limits on automated messages. Carrier vetting often involves insurance certificates and authority status, which the agent can track for expiry, but a person decides who is approved.

Shipper rates and customer lists are competitive data. We keep them in your own accounts, restrict the agent to named lanes and customers, and log every message sent. Text messages to drivers need opt-in under the FCC's rules. Our AI agent security checklist covers the controls, and the AI automation for logistics page shows where fixed rules beat an agent.

How the project runs

1. Choose one lane typeFor example dry van spot quotes in a region. A narrow start makes the quote rules testable.
2. Replay past quotesWe run the agent on historical requests and compare its drafts to what your reps sent and what won.
3. Rep-approved periodReps approve every quote for a few weeks while we log edits.
4. Add carrier outreachSourcing comes second, with the vetted list only.

Our team is in Pune, with offices in Coventry and New York. We can cover calls in US morning hours, and you receive a short demo every week.

What it costs

Projects start at $1,500 and our rate is $30 an hour. A quote agent over one TMS or inbox is a small project. Price moves with the number of lanes and equipment types, the TMS integration route and how much automation of carrier contact you want. You get a fixed quote within one working day of a short call. See what an AI agent costs and AI agent development.