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ai agents for logistics & freight

Your ops team's day disappears into check calls, quote emails, and missing PODs

The freight moves fine. It's the paperwork around the freight that eats your people alive. We install AI agents that draft quotes, answer tracking requests, chase PODs, and keep carrier files current, so your reps cover more loads instead of you posting another job req.

the manual reality

One inbox, forty loads, and everything is on fire

Open the ops inbox at a 30-person brokerage or 3PL and it's the same pile every morning. A shipper wants a rate on Chicago to Dallas, sent two hours ago and going cold while a competitor answers first. A customer asking where their load is for the third time today. A carrier's insurance certificate that expired yesterday, on a truck that's already dispatched. Billing sitting on forty PODs nobody has had a second to chase.

None of it is hard. It's reading an email, looking something up in the TMS or on the load board, and hitting reply. But it happens two hundred times a day, and it all lands on the same dispatchers and reps who are supposed to be covering freight. So the freight waits.

  • Quote requests go stale while brokers finish check calls
  • "Where's my load" emails interrupt the person booking the next one
  • PODs, rate cons, and lumper receipts rot in attachments nobody filed
  • COIs and carrier packets sit expired until something goes sideways
agentclaw · freight ops console

what we install

Agents that actually work the freight desk, not another chatbot demo

Every agent below runs inside the tools you already have open: your TMS, your inbox, your tracking feed. A human approves anything customer-facing until you decide they've earned the right to stop checking.

quoting

Quote requests answered while the shipper is still shopping

An agent reads the inbound quote email, pulls the lane, weight, equipment, and pickup dates, checks your rate history and current market data, and drafts a priced reply for your broker to approve. Quoting speed stops depending on who happens to be free at 4pm.

track & trace

Tracking updates without the check-call treadmill

The agent pulls the latest status from your tracking feed or carrier check-ins, answers the "where's my load" emails in your voice, and posts updates to customer portals. When a load goes quiet past its check-in window, it flags a human instead of guessing and hoping.

carrier compliance

Carrier packets and COIs that stay current on their own

During onboarding, the agent chases the W-9, the insurance certificate, and the authority docs, files them against the carrier record, and confirms MC status. After that it watches COI expiration dates against dispatch dates and warns you before a covered truck quietly becomes an uncovered one.

billing

POD chasing that never forgets a load

The day a load delivers, the agent requests the POD from the carrier and keeps following up on schedule until it lands, whether it shows up as a clean PDF or a phone photo of a crumpled BOL. It matches the document to the load in your TMS and tees up the invoice, so billing isn't the department waiting on everyone else.

exceptions

An exception desk that catches problems before the customer does

Missed pickup windows, blown appointments, a load with no check call since morning. The agent spots the pattern, drafts the customer notification with what happened and the revised ETA, and hands it to your ops manager with the full context already assembled instead of a fire drill.

carrier settlements

Carrier invoices matched to rate cons, line by line

The agent reads the incoming carrier invoice, matches it against the rate confirmation, and flags anything that doesn't line up: detention, lumper fees, or a TONU nobody agreed to. Clean invoices flow straight through. Disputes go to a human with both documents side by side, not buried in a folder.

how it works

From audit to agents on the ops floor

  1. 01

    Audit your quote-to-cash

    We sit inside how your desk actually runs: the quote inbox, the check-call routine, the POD folder, the carrier files. We map where the hours leak, and you walk away with a ranked list of what an agent should take over first and what stays human. Yours to keep either way.

  2. 02

    Install the first agent

    Usually quote intake or POD chasing, because both are high-volume and dead easy to verify. We wire it into your TMS and inbox, and it runs with human approval on every send until your team gets bored of editing drafts that are already right.

  3. 03

    Run, review, expand

    We operate the agents, read the logs, and tune the edge cases: the carrier who only texts, the shipper with the reference numbers from hell. When the first agent gets boring, we move to the next workflow. That's the whole loop.

Freight questions, freight answers. No sales deck.

Our rate data and customer list are the business. Who sees them?+

Honest answer: the agents do, and we do while we build them. The agents run inside your accounts with scoped credentials you control, and every action is logged, so you can audit exactly what got read and what got sent. We sign NDAs, we never move anything across clients, and we configure the AI providers on commercial API terms where your data is not used to train their models. If a specific system is off-limits, we build around it. No arguing.

We're on an older TMS and half our carriers only do email. Does that break this?+

No. Email is where most of this work already lives, and agents are genuinely good at reading it, attachments and all. Rate cons, BOLs, and PODs show up as PDFs and phone photos, and the agent handles both. If your TMS has no API, we work with whatever it does expose, even if that means driving the same screens your team clicks through today.

Is this about replacing our dispatchers and ops reps?+

No. It's about the ratio of loads to people. The agents take the repetitive layer off your team's plate, the status emails, the document chasing, the data entry on rate cons, and kick anything that needs a human call back to a human: a rolled load, an angry shipper, a carrier you're not sure about. Your dispatchers cover more freight with the same headcount. Same team, double the output.

What does it cost?+

Engagements start at $5,000 per month, and that covers building and operating the agents, not tossing you a login and wishing you luck. Whether it pencils out depends on your load volume and what an ops hour actually costs you, which is exactly the math the free AI audit runs before you commit to anything. If that budget isn't realistic yet, start with our free resources instead. No hard feelings.

keep going

Keep going

Find out where your ops hours actually go

The free AI audit maps your quote-to-cash, from the first rate request to the last chased POD, and shows you which workflows an agent can take over first. No deck, no fluff, just a ranked list you can act on Monday.

Book your free AI audit

We take on companies ready to invest $5,000+/month in doing this properly.