Logistics
AI automation agency for logistics and trucking
We build logistics automation for trucking carriers, freight brokers and 3PLs whose dispatchers and billing teams spend the day in email, PDFs and the TMS. Load tenders, rate confirmations, PODs and check calls get handled by workflows that feed your TMS, so loads move to invoice faster with fewer keying errors.
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Quick answer
How can AI automation help a trucking or freight brokerage company?
AI automation helps trucking carriers, freight brokers and 3PLs by reading emailed load tenders into draft loads in McLeod, Aljex or Tai, generating and tracking rate confirmations, and attaching driver PODs and BOLs to the right load. It can then assemble invoice or factoring packets and send shipper status updates from Samsara or Motive data.
- Every load produces a tender, rate confirmation, BOL, POD and invoice that someone handles
- POD and BOL images are classified, checked for signature and date, and attached in the TMS
- Carrier onboarding checks authority and insurance, and later changes trigger an alert
- Route planning can handle more than Google Maps' 25-stop limit with time windows and capacity
01
The paperwork that slows a freight operation
Freight runs on documents and status updates. Every load produces a tender, a rate confirmation, a BOL, a POD and an invoice, and every customer wants to know where their freight is.
These are the time sinks we see most often at carriers, brokers and 3PLs:
- Load tenders arriving by email as PDFs or spreadsheets that someone retypes into McLeod, Aljex, Tai or Ascend
- Rate confirmations sent and chased, then matched to the load before dispatch
- Check calls and track and trace updates for shippers who do not use a portal
- PODs and BOLs collected from drivers by text or app, renamed and attached to the right load
- Invoice packets for customers or the factoring company held up by one missing document
- Carrier onboarding: W-9s, certificates of insurance, authority checks and packet signatures
02
What we automate for carriers, brokers and 3PLs
For carriers, the focus is usually dispatch and back office: getting tenders into the TMS, pushing ELD location data to customers, assembling settlement and invoice packets, and keeping driver qualification files and permit renewals on a calendar.
For freight brokers, it is speed and paperwork: quoting from lane history and DAT or Truckstop rates, sending rate confirmations, monitoring carrier compliance and collecting PODs so invoices go out the day of delivery. For 3PLs, we often connect the WMS to customer order feeds, automate receiving and shipping notifications, and build storage and handling billing from activity data.
WHAT WE BUILD
What we automate for logistics & trucking
Typical automations, each scoped and quoted at a fixed price after a free review.
Load tender intake
Tender emails and PDF attachments are read by an AI step, key fields are extracted, and a draft load is created in your TMS for dispatch to review and accept.
Rate confirmation workflow
When a carrier is assigned, the rate confirmation is generated, sent for e-signature and matched back to the load, with reminders if it is not signed before pickup.
POD and BOL capture
Documents drivers send by text, email or app are classified, checked for signature and date, renamed and attached to the correct load in the TMS.
Invoice and factoring packets
On delivery, the rate con, BOL, POD and accessorial receipts are combined into one invoice packet and sent to the customer or uploaded to your factoring portal.
Track and trace updates
Location data from Samsara or Motive is turned into scheduled status emails for shippers, with late-risk loads flagged to the dispatcher.
Carrier onboarding and monitoring
New carriers receive a packet, documents are checked, authority and insurance are verified against your vetting source, and later changes trigger an alert.
Multi-stop route planning
Stops, time windows and vehicle capacity are fed into a routing engine that handles more than 25 stops, and routes are pushed to drivers.
03
AI agents in trucking and freight
AI is most useful where freight data arrives unstructured. A model can read a load tender email with a PDF attachment, pull shipper, consignee, pickup and delivery windows, equipment, weight and rate, and create a draft load in your TMS for a dispatcher to accept. The same approach works for reading rate confirmations, lumper receipts and PODs, and checking that signatures and dates are present.
AI voice agents can handle routine inbound check calls and status questions using live data from Samsara or Motive, and AI email agents can answer where-is-my-truck requests. Anything involving rate negotiation, claims or a service failure goes to a person.
04
Route planning beyond Google Maps' limits
One of our case studies is a UK logistics company that needed to plan routes with more stops than Google Maps allows in one route (25). We built automated route planning that handles the larger stop counts their drivers actually run, replacing a slow manual process of splitting routes by hand.
US operations with local delivery, LTL pickup or multi-stop routes face the same limit. We can build route planning that respects time windows, stop counts and driver hours, and push the result to drivers' apps.
05
Constraints we design around
Carrier vetting and compliance matter. Automations that onboard or monitor carriers should pull authority and insurance data from sources such as FMCSA records, Highway, Carrier Assure or RMIS rather than relying on a PDF a carrier emails in. We flag changes for a person to review instead of approving carriers automatically.
Driver hours of service come from the ELD, and dispatch automation should read those limits, not override them. Automated texts to drivers and shippers also need to follow TCPA consent rules. We describe these constraints in the scope so your safety and compliance team can sign off.
06
Logistics software we connect
On the TMS side we work with McLeod, Trimble TMW, Aljex, Tai TMS, Ascend TMS, Rose Rocket and Revenova, using APIs, EDI files or database access depending on the system. Telematics usually comes from Samsara or Motive, and load boards from DAT and Truckstop.
We also connect factoring portals, QuickBooks Online, Google Workspace or Outlook inboxes, and document storage. Operational dashboards for on-time pickup and delivery, revenue per truck, margin per load and DSO are typically built in Power BI or Looker Studio.
07
How a logistics automation project works and what it costs
We start with a free review. Your dispatch, brokerage or billing lead walks us through a normal day and the inboxes involved, and we check what your TMS exposes. You get a fixed-price quote, a timeline and a clear first stage.
A focused workflow, such as reading load tenders into the TMS or assembling invoice packets, typically takes 1 to 3 weeks. Larger projects with several workflows and a dashboard typically take 4 to 8 weeks, shipped in stages and tested on live loads. You own all accounts, workflows and code.
TOOLS
Tools we connect
FAQ
AI automation for Logistics & Trucking questions
Can AI read load tenders and rate confirmations?
Yes. AI document processing can extract shipper, consignee, dates, equipment and rate from emails and PDFs, even when every customer uses a different format. A dispatcher reviews the draft load before it is accepted.
Does automation work with McLeod or other TMS platforms?
Usually, though the method varies. Some systems offer APIs, others work through EDI, file imports or database access. We confirm what your TMS and license support during the free review.
How can a freight broker automate carrier onboarding?
Onboarding packets, W-9s and certificates of insurance can be collected and checked automatically, with authority and insurance verified through a vetting service. A person still makes the final approval decision.
Can you automate POD collection for faster invoicing?
Yes. Driver-submitted PODs can be checked, attached to the load and bundled with the rate con and BOL into an invoice packet the same day, which typically shortens the time from delivery to invoice.
How long does a trucking automation project take?
A single workflow typically takes 1 to 3 weeks. Multi-workflow projects with dashboards typically take 4 to 8 weeks, delivered in stages.
What does logistics automation cost?
We give a fixed quote after a free review. The price depends on your TMS, the number of workflows and the document formats involved.
GET A FREE PROPOSAL
Tell us what you want automated
Describe the process that eats your team's week. We reply within one business day with a first take on what can be automated, which tools fit and roughly what it would cost.
- Free 30-minute automation review
- Fixed quote before any work starts
- You own every workflow, account and line of code