Solutions / Logistics & Last‑Mile Transport
AI agents for logistics that track shipments, quote freight and handle the exceptions.
AI agents for logistics answer 'where's my shipment' from live carrier data, turn around freight quotes, and flag and resolve delay exceptions before they escalate — instead of those calls overwhelming your team.
We build them around your TMS, carriers and customer channels, and ship the first one in weeks.
The shipment's status changes in the carrier's system.
- Shipment
- PT-48213
- Route
- Porto → Lisbon
- Status
- Held at the depot
- Promised
- Today, by 18:00
The agent compares the new status with the promised delivery: today's delivery is no longer possible.
- New estimate
- Tomorrow morning
- Customer's service
- Same-day delivery
- Result
- Exception opened
It logs the exception in the TMS, asks the carrier to reschedule and holds the first available slot.
- Exception
- Logged in the TMS
- New slot
- Tomorrow, 9:00–13:00
A message with the reason, the new slot and the option to change the date or the address.
- Channel
- Email and SMS
- Sent
- Before the promised time
A separate branch, decided at the step 2 check — not a step after 4. If the customer has a contractual SLA, or it's the second delay, the exception goes to the operations team with the history ready.
- When
- Contractual SLA, or a repeat delay
- Routed to
- Operations team
Fictitious data to explain the flow: the shipment, the route and the deadlines are examples, not a client's data.
Where it usually breaks
- “Where’s my shipment?” calls overwhelm staff
- Slow freight quote turnaround loses deals
- Delay exceptions escalate fees and churn
What are AI agents for logistics?
AI agents for logistics are software agents that handle the high-volume operational work a 3PL or transport business runs on: shipment-tracking questions (the calls that swamp an ops desk), freight quoting, delay and exception handling, and proof-of-delivery follow-up — end to end, pulling live status from your TMS and carriers, with a handoff to a person on the cases that need one. The answer to 'where's my shipment' is the real tracking status, not a promise to check and call back.
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It's custom agent work pointed at a logistics operation — the same engineering behind our wider AI agent work and customer-service agents — built around the systems you already run rather than a closed product.
Top use cases for AI agents in logistics and transport
Six workflows where an agent pays back first for a freight forwarder, a 3PL, a trucking company or a last-mile operator. Each pulls live data from your TMS and carriers and hands off to your ops team on the cases that need judgement.
Shipment tracking & status
Answers 'where's my shipment' from live TMS and carrier data, 24/7, across phone, email and chat — the question that otherwise ties up your whole ops desk.
LTL, FTL & freight quoting
Turns a quote request — LTL, FTL or a forwarding lane — into a priced quote from your rate tables and lane data, fast enough to win the booking instead of losing it to slow turnaround.
Delay & exception handling
Detects a delay or exception, notifies the customer proactively with the new ETA and the reason, and opens the right resolution path before it turns into a penalty or a churn.
See this flow in the exampleTransport order entry & dispatch
Reads the transport order from the email, PDF or spreadsheet it arrives in, validates addresses and references, and creates the order in your TMS — turning manual order entry into a check step.
Proof of delivery & claims
Collects POD, answers delivery-confirmation questions, and assembles the documentation for a claim so it doesn't stall on missing paperwork.
After-hours & peak cover
Covers nights, weekends and volume spikes at flat cost — the hours when shipment questions still land but the desk is thin.
Same pattern in production· Another sector: engineering & construction materials
The same document-to-system pattern runs in production for OmniTrade Brasil, where an agent processes about 1,200 CSV files a month into HubSpot with no manual screening.
Read the OmniTrade Brasil casePublished results
- 1,200CSV files autonomously processed per month
- Days → hrsScreening cycle compressed from days to hours
Agents already designed for this sector. Each one is adapted to your stack before it goes live.
- Shipment Tracking Agent
Cut WISMO calls.
- Quote Generation Agent
Respond to shippers in seconds.
- Dispatch Optimizer
Maximize utilization.
- Logistics Route Optimization System
Streamline transportation operations.
- Exception Handling Agent
Resolve delays faster.
- Supply Chain Intelligence Platform
Dynamic logistics adjustment.
- Driver Communication Agent
Keep drivers informed.
Carrier portal, custom agent, or your ops desk on the phone?
A carrier portal makes the customer go look it up. A custom agent answers from live data across all your carriers and acts on the exception — and unlike an ops desk, it doesn't drop the next call when volume spikes.
- What we build
Custom AI agent
Answer-and-act
- Answers tracking from live data
- Yes
- Works across all your carriers
- Yes
- Quotes freight from your rates
- Yes
- Handles delay exceptions proactively
- Yes
- Creates the order in your TMS (as a draft)
- Yes
- Covers nights, weekends & peaks
- Yes
- Cost at 10× shipment volume
- Flat
Carrier portal / bot
Self-serve lookup
- Answers tracking from live data
- Customer self-serve
- Works across all your carriers
- One carrier
- Quotes freight from your rates
- No
- Handles delay exceptions proactively
- No
- Creates the order in your TMS (as a draft)
- No
- Covers nights, weekends & peaks
- Yes
- Cost at 10× shipment volume
- Flat
Ops desk today
Staff on the phone
- Answers tracking from live data
- Yes
- Works across all your carriers
- Yes
- Quotes freight from your rates
- Yes
- Handles delay exceptions proactively
- If capacity
- Creates the order in your TMS (as a draft)
- Yes
- Covers nights, weekends & peaks
- No
- Cost at 10× shipment volume
- More headcount
AI agents for freight forwarders, 3PLs, trucking and last-mile operators
The work has the same shape everywhere — a request arrives, someone looks something up in two systems and replies — but the first agent worth building differs by operator.
Freight forwarders
Quote requests across lanes and modes, booking confirmations, and the document chase — commercial invoice, packing list, bill of lading — before a shipment can move.
3PL and fulfilment
Order-status and stock questions from your clients, inbound appointment booking, and alerts when an order misses its cut-off — answered from your WMS instead of an account manager's inbox.
Trucking companies
LTL and FTL quotes, load confirmations, check calls and proof of delivery, so dispatchers spend the day on the trucks instead of on the phone.
Last-mile delivery
'Where's my delivery' on every channel, failed-delivery rebooking and POD retrieval, at a volume a customer-service team can't absorb.
Transport order entry: from email and PDF into your TMS
From inbox to TMS
- Email, PDF or spreadsheet
- Fields extracted
- Checked against master data
- Draft order in the TMS
Read the full answerShow less
Most transport orders still arrive as an email body, a PDF or a spreadsheet. The agent reads each one, extracts shipper, consignee, addresses, dates, references and goods, checks them against your master data, and creates the order in your TMS as a draft for a planner to confirm. Anything ambiguous — an address it can't validate, a reference it has already seen — goes to a person with the reason attached.
It's the same document-to-system pattern we run in production for OmniTrade Brasil, where an agent processes about 1,200 CSV files a month into HubSpot with no manual screening (read the case).
LTL and FTL quotes, check calls and proof of delivery
A quote reads
- Lane
- Weight
- Dimensions
- Service level
Priced from
- Your rate tables
- Your surcharge rules
Read the full answerShow less
An agent that handles LTL and FTL quote requests reads the lane, weight, dimensions and service level, prices it from your rate tables and surcharge rules, and returns the quote — or asks the one missing question — in minutes. Anything outside your rules goes to a person before it's sent.
Check calls and POD follow the same logic: the agent asks the driver or carrier for status at the milestones you define, updates the TMS, tells the customer about a new ETA, and retrieves the proof of delivery when the load closes — so invoicing doesn't wait on paperwork.
What does an AI agent for a logistics company cost?
A first agent on one workflow — usually shipment tracking or quote requests — starts at €1,500, fixed price, delivered in about two weeks (~12 business days). Multi-step agents that read from and write to your TMS start at €2,500 per agent. After launch you pay the model tokens, capped per run; there's no per-seat licence, so peak season doesn't change the price.
- ✓One agent, one workflow
- ✓Eval harness included
- ✓2-week delivery
- ✓Multi-step workflows
- ✓Tool-use & integrations
- ✓Cost ceiling per run
- ✓Audit log on every field
- ✓On-prem or private cloud
- ✓HIPAA / GDPR posture
- ✓SLA & support
- 0130 minAssessment
30 minutes with a principal engineer. We map your workflow and find the highest-impact agent.
- 02~12 business daysPilot
One agent in production in ~12 business days. Fixed price.
- 03With every agentEvalsAutomated quality tests
Every agent ships with an eval harness (a suite of tests run against real cases) and a cost ceiling per run.
- 04OngoingRoll-out
Scaled across the operation, documented, handed over. No lock-in: the code and the accounts are yours.
AI agents for logistics are autonomous software agents that handle the repetitive operational work in a 3PL or transport business — shipment-tracking questions, freight quoting, delay and exception handling, proof-of-delivery follow-up — end to end, pulling live status from your TMS and carriers, with a handoff to a person on the cases that need one. Unlike a carrier portal, they answer and act instead of telling the customer to look it up.
Yes — it reads live status from your TMS and each carrier's API, so it answers 'where's my shipment' with the real ETA regardless of who's carrying it, on phone, email or chat. That's the single highest-volume question on most ops desks, and it's the first thing we take off your team.
Your TMS, carrier APIs and rate tables, your customer channels (phone, email, chat, WhatsApp) and your order/booking system. Anything with an API or webhook can be wired in — the agent joins the stack you already run.
It absorbs the repetitive tracking and status volume at flat cost, so your ops people work the exceptions that need judgement. We measure resolution, not deflection: it resolves the routine questions end to end and routes the rest with full context. It's augmentation — fewer 'where's my shipment' calls, the same people on the hard exceptions.
Two to four weeks for the first agent on one workflow — usually shipment tracking — at a fixed price, proven against your real cases and launched behind a human. No per-seat licence and no lock-in; your only variable cost is the model tokens.
One that answers from your own TMS and carrier data rather than a generic help-centre bot. For most freight and trucking companies, the right first step is an agent on shipment-status questions — the highest-volume contact — across email, phone and chat, with quotes and check calls next. Judge it on resolution rate and response time, not on how many contacts it deflects.
Yes. It reads orders from email, PDF or spreadsheets, extracts the shipment details, validates them against your master data and creates a draft order in your TMS for a planner to confirm. Orders it can't validate go to a person with the reason attached. It's a strong second agent after tracking, because order entry grows with volume while the team doesn't.
Book your assessment.
Talk directly to a principal engineer.
No sales team.
No discovery workshops.
No procurement circus.
We scope, build and ship.
- Reply within one business day
- Engineer-led assessment
- Written proposal
- Lisbon · UK time zone
No commitment. Just an engineer.