AI chatbots for logistics companies

Where status calls come from

Customer service in freight, courier and warehousing spends much of the day on status checks. A receiver wants to know when the pallet arrives. A shipper wants the proof of delivery for an invoice dispute. A new customer asks for a rate on a load of a certain weight between two cities. The facts exist in the system, but a person has to fetch each one.

The real work is exceptions: a missed pickup, a customs hold, a damaged carton. Those need a human with authority. Cutting the routine status traffic gives dispatchers time to fix them.

Peak periods raise the stakes. Retail season, produce harvests and port congestion all push volume up at the same moment that capacity is tight. A bot that handles the routine thousands of status checks lets the human team concentrate on the shipments that are actually in trouble.

Different users, different bots

Each user type gets its own entry point and permissions. A tracking number alone should show only status, while documents need a verified login or a signed link.

What we build

We connect to what operators use, for example a TMS or WMS such as McLeod, Descartes, Manhattan or ShipStation, plus carrier tracking APIs, EDI feeds or a spreadsheet export when that is all there is. We confirm integration depth before quoting.

Accuracy and liability

A wrong delivery promise causes real costs, such as a crew waiting on a dock. The bot therefore quotes the estimate in your system with its timestamp, labels it an estimate and does not extrapolate. For claims, it never admits liability or says what will be paid. Limits of liability sit in your terms, and a manager or claims handler applies them.

Consignee details such as names, addresses and phone numbers are personal data. We show only what a tracking-reference holder is meant to see, and avoid exposing customer lists. Check customs and data-transfer rules for cross-border work with your brokerage or lawyer.

Project steps

1. Data checkWhat fields does the TMS expose, and how fresh is each?
2. Pick the first audienceUsually consignees or shippers asking about status.
3. Build the lookupRead-only API connection, plus plain-language explanations of every status code.
4. Dispatcher testingDispatch staff test with live-looking loads and tricky cases.
5. ExtendAdd quotes, documents and WhatsApp for drivers.

We work remotely from Pune, with calls fitted around dispatch shifts. For the general approach see AI chatbot development, and for automation of the back office see AI agents for logistics.

Pricing

A status-and-FAQ bot with one data connection can begin near our $1,500 minimum. Quote intake, document retrieval, driver channels in several languages or multiple depots add hours at $30 an hour, and the quote is fixed within one working day of a short call. The key cost driver is the state of your tracking data: clean APIs make it cheap, messy exports do not. The AI chatbot cost page explains the rest.