AI Automation & RPA for Logistics & Freight
Back-office work that finishes itself — the intake, the data entry, the follow-ups, the reconciliation. Shaped by the real problems in logistics & freight.
In one line
AI Automation & RPA, shaped for Logistics & Freight
Most of the hours lost in logistics & freight don't go to hard problems — they go to the same repetitive work, over and over. A brokerage runs on email and phone calls, and both are quietly expensive. RFQs sit in an inbox while a faster broker covers the load, BOLs and PODs get rekeyed before an invoice can go out, and dispatchers spend the day making check calls for status a system could already know. That's exactly the work automation is for: the intake, the rekeying, the chasing, the reconciliation that has to happen but doesn't need a person's brain every time.
For your sector the highest-value targets tend to be the processes that recur daily — quote-from-email automation and carrier paperwork without rekeying. We automate them end to end, using RPA for the deterministic steps and AI for the steps that need to read a messy document or make a call, so the whole workflow runs rather than half of it.
A human stays in the loop where it counts: the system handles the confident cases and routes anything uncertain to a review queue, so exceptions get a person instead of a silent mistake. The whole workflow runs on your infrastructure and is handed over to you — no per-seat automation fees, no locked platform.
What we automate for logistics
A brokerage runs on email and phone calls, and both are quietly expensive. RFQs sit in an inbox while a faster broker covers the load, BOLs and PODs get rekeyed before an invoice can go out, and dispatchers spend the day making check calls for status a system could already know.
Quote-from-email automation
emailed RFQs parsed, rated against your lane history and benchmarks, and answered in minutes instead of hours
Carrier paperwork without rekeying
BOLs, PODs, lumper receipts and rate cons read and matched to the right load so billing doesn't wait on data entry
Exception prediction & proactive notification
flag the shipments that will run late before the customer calls to ask where their freight is
Automated check calls & tracking
status pulled from ELD, telematics and carrier updates and pushed to customers without a dispatcher working the phones all day
Detention & accessorial capture
catch the billable extras that quietly slip through and never make it onto an invoice
Carrier vetting & fraud screening
authority, insurance and double-brokering risk checked before a load is ever tendered
This is for you if
- Your logistics team spends its day rekeying data between systems
- Documents and forms pile up waiting for manual handling
- You've outgrown Zapier/n8n and need real reading-and-judgment logic
- You want to handle more volume without growing headcount in step
What you get
- An end-to-end automated workflow for a high-volume logistics & freight process
- RPA for the fixed steps, AI for the reading-and-judgment steps, in one system
- A human-in-the-loop review queue so quote-from-email automation exceptions get a person
- Integration with the tools you already run — not another disconnected dashboard
- The full workflow handed over — you own it, with no per-seat automation fees
However we build it, you own it
AI Automation & RPA for Logistics — answered
The high-volume, repetitive ones where the same steps happen over and over — in your operation, work like quote-from-email automation and carrier paperwork without rekeying. We start by mapping where your team's hours actually go, then automate the process with the best ratio of hours saved to effort, so the first build pays for itself quickly.
For simple connector-to-connector tasks, an off-the-shelf tool may be all you need — and we'll say so. We build the layer above it: logistics & freight processes that require reading unstructured documents, making judgment calls, or logic those tools can't express — on infrastructure you own, not a per-task subscription.
The system handles the confident cases automatically and routes anything uncertain to a human review queue, so a person sees the edge cases instead of the automation getting them silently wrong. You set the threshold, and widen what runs unattended as the system proves itself on your logistics data.
Yes — connecting to your TMS (McLeod, Turvo, or whatever you run) is part of the build, not an afterthought. The system reads emails and documents, then writes loads, statuses, and billing data back into the tool your team already lives in, so it acts inside your workflow instead of becoming another tab to check.
No. It takes the repetitive keyboard work off them — rating routine RFQs, reading paperwork, making check calls — so they spend their time negotiating, covering hard lanes, and handling exceptions. Anything the system is unsure about is routed to a person with the context already gathered, not decided blindly.
AI Automation & RPA for Logistics. Let's scope it.
A short call, then a clear, agreed scope in writing. No obligation, and an honest no if it isn't a fit.