# How can a small freight brokerage use AI?

**Short answer:** Mostly to make the chasing cheaper. In one brokerage we assessed, appointments took about ten hours a week and status emails about a hundred, while typing a load into the system took two minutes. The best fixes ran on tools they already paid for. Integrating systems was the expensive idea we recommended against.

## Where we look first
- Appointment booking and confirmation, and what triggers it.
- Status emails and calls on loads already moving.
- Tracking features already included in tools on your bill.
- The daily customer status report and how long it takes to build.
- Receivables follow-up and how long invoices sit.

## What we'd usually leave alone
- Paying for a system integration before you know what the typing actually costs.
- Automating the customer relationship that keeps you from being the cheapest option.

## What your data could be worth
Loads, lanes, rates, dispatch notes and carrier communications from years of brokerage are rare and in demand. AI companies want to understand how freight actually moves. Shipper and carrier identities can be removed.

## Questions
**Should a small brokerage buy a TMS or integrate its systems?**
Not before you have measured where the hours go. In our freight case study, the integration a developer offered would have saved an hour or two a week; appointment chasing cost ten.

**What can AI do on LTL freight?**
Less than on full truckloads, because there is no single truck to track. The practical step is asking each regular carrier what automatic status they can send.

**Is there a real example?**
Yes. Our freight brokerage case study shows what we found, what we recommended, and what we told them to leave alone.

Source: https://aidvance.xyz/industries/freight-logistics
