A freight chatbot for brokers: tracking, quotes and carrier calls

Two audiences, one desk

Shippers want to know where a load is, whether it will arrive on time and why a delivery appointment moved. Carriers want to know about loads, rate confirmations and when they will be paid. Both contact the same account managers and dispatchers, who are also trying to cover loads, solve delays and chase paperwork.

A chatbot cannot move freight. It can take the tracking and paperwork questions off the desk so people spend their time on the calls that actually need judgment, such as a missed appointment or a truck that broke down.

Smaller brokerages feel this most. A team of five cannot staff a full customer service desk, so the same people who negotiate rates also answer status emails. A bot gives them back their mornings without adding headcount, and the shipper still gets an answer in under a minute.

Who asks what

The rate row is the most important rule on the table. Prices move with the market and with capacity, and only your pricing team should state them.

The data behind the answers

Freight data lives in a TMS such as McLeod, Aljex, Tai, Rose Rocket or Revenova, plus visibility tools like project44 or FourKites, load boards such as DAT or Truckstop and email. Tracking answers are only as good as the check calls and feeds. If your team updates statuses twice a day, the bot should say 'last updated at 14:20' rather than pretend it knows the live position.

Where there is no API, we can read from a scheduled export or from forwarded emails. It is less elegant but dependable. The bot must also respect access: a customer asking about a load should only see loads on their own account, which means identifying them first by a reference plus a contact match, or through a signed-in portal.

Rules and risk

• Brokers in the US operate under federal operating authority and must meet financial responsibility rules. Check with your lawyer or industry association about what the bot may say regarding authority, liability and cargo claims.
• Cargo claims and liability limits are legal topics. The bot explains the claim process in your words and sends the claim to your claims team.
• Carrier fraud, including identity theft and double brokering, is a known problem in freight. The bot should not accept changes of payment details or contacts through chat. Those go through a verified process.
• Customer shipment details are confidential, so we avoid mixing accounts and store logs securely.

How we build it

1. Sort a month of emailsWe count the top ten request types for shippers and carriers.
2. Connect the TMSRead-only access to status, documents and payment terms.
3. Set thresholdsWhen a late load or a dispute becomes a human job.
4. Pilot on one account groupThen widen by customer.

The work is remote from Pune, and time-zone overlap is arranged for your dispatch hours. For the wider service read AI chatbot development. If you also need back-office automation, see AI automation for logistics.

We also keep a log of every question the bot could not answer. Brokers often find the list shows a gap in their own process, such as shippers repeatedly asking for a document that nobody sends proactively. Fixing that removes the question entirely.

Pricing

A tracking and quote-intake bot connected to one TMS export can start near our $1,500 minimum. Live API links, carrier onboarding flows, several languages or document handling add hours at $30 an hour. We quote a fixed price within one working day of a short call. See AI chatbot cost.