Logistics ยท Freight ยท 3PL
You cannot raise rates. You can cut the touches.
Quotes back in minutes. Carrier paperwork that assembles, sends, and files itself. Track-and-trace that surfaces the five shipments that matter instead of the five hundred that do not. The market sets the rate โ your cost per shipment is yours.
We do not have a roster of logistics logos to show you. What we have is a model: start with one workflow, project the savings at your shipment volume before we build anything, deliver in a fixed sprint, and stay accountable after launch.
Based in Canada? Government programs may be able to offset the cost โ see Grant-Backed AI โ
Where we focus
The manual touches compressing your margin
Each of these is a documented, solvable problem. The question is which one to address first.
Quote intake is too slow to win the freight
RFQs land by email and portal, get re-keyed into the TMS, and the shipper has often booked elsewhere by the time your number goes back. We build intake that structures the request on arrival, pulls your lane history and current rates, and queues a quote for review โ so turnaround is minutes, not hours.
Carrier paperwork is a manual touch on every load
Rate confirmations, load tenders, BOLs, and PODs get assembled, sent, chased, and filed by hand. We build assembly workflows that generate the documents from shipment data, send them to the right party, and file what comes back โ every touch you remove is margin you keep.
Track-and-trace means watching everything to catch anything
Your ops team checks every shipment so they can act on the few that go sideways. We build exception monitoring that watches the feeds, surfaces only late, missing-POD, or at-risk shipments, and drafts the customer notification โ so people work exceptions, not lists.
Margin compresses and you cannot raise rates to fix it
Rates are set by the market; your cost per shipment is not. When every load carries 15โ30 minutes of manual admin, headcount scales with volume and margin shrinks. We attack the cost side: fewer touches per shipment, more loads per ops seat, same service level.
What we build first
Three workflows most operators start with
Concrete builds, not a platform pitch. Each comes with a savings estimate scoped to your volume before the sprint begins.
Quote intake + rating support
Inbound RFQs structured automatically, matched against lane history and current carrier rates, queued as a draft quote for a human to approve and send.
Expected return: Mapping usually targets two numbers: minutes per quote and quote-turnaround time. Faster, consistent turnaround is the win-rate lever โ your baseline is measured before we build.
Carrier paperwork engine
Rate cons, tenders, BOLs, and PODs generated from shipment data, sent, chased, and filed automatically โ with anything ambiguous routed to a person.
Expected return: A realistic mapping result is 10โ20 manual minutes removed per load on document handling. At your monthly load count, that estimate is documented before the sprint begins.
Exception watchtower
Monitoring across your tracking feeds that surfaces only at-risk shipments, drafts the proactive customer update, and logs the resolution.
Expected return: The return is ops leverage: loads per ops seat goes up when people stop scanning healthy shipments. We commit to a measured before/after, not a vanity metric.
Illustrative scenario
What this looks like for a mid-size broker or 3PL
A representative scenario, not a specific client. It shows how the engagement model applies to a common pain point.
Illustrative ยท Representative, not a specific client
A freight brokerage moving a few hundred loads a month runs ops the way most do: RFQs answered from memory and a rate sheet, every load carrying its own trail of rate cons and check calls, and two people spending their afternoons confirming that on-time shipments are, in fact, on time.
We start with quote intake. Map the path from inbound RFQ to quote sent, and time it. Estimate the minutes per quote, the quotes per day, and what turnaround speed does to win rate on your lanes. If the math holds, we build: structured intake from email and portal, lane-history matching, and a draft-quote queue a human approves โ then extend into paperwork assembly and exception monitoring in the same engagement model.
The engagement runs 6 weeks at a fixed price. After launch, quotes go back the same hour, the document trail files itself, and ops attention goes where the exceptions are.
Shipment workflow
The workflow we automate for you
From inbound RFQ to closed file โ the four stages we map and automate.
How we work
The ReadyIQ model for logistics operators
Four commitments that apply to every engagement. Operational, not aspirational.
One workflow first
We start with the process costing your operation the most โ usually quote intake or carrier paperwork. Map it, estimate the savings, get your sign-off before we build anything.
ROI before you pay
Before the sprint begins, you see a documented estimate: ops minutes per shipment, at your volume, in dollars. If the numbers do not add up, we say so.
Fixed sprint, known cost
The engagement runs 4โ8 weeks at a fixed price. No open-ended retainers. You know the cost before we start.
Post-build monitoring
After launch, we monitor for drift and exceptions. Automations break when source systems change. We stay on it so your team does not have to.
Deliverables
What every engagement includes
Fixed scope means a defined list. Here is what you receive.
- Process map with time-per-step and automation opportunity scoring
- Built and tested automations deployed to your environment
- Exception-handling logic and alerting for edge cases
- Data boundaries documented and reviewed with your ops lead (shipper and carrier data handled to contract)
- Runbook: what each automation does, how to monitor it, what to do when it flags
- Training session for your ops and customer-service team
- 30-day post-launch monitoring window
Canadian grant angle
Federal, provincial, and regional programs may offset part of the cost of an engagement like this for a Canadian operator. Eligibility, amounts, and timing are determined by the program administrator โ not by us, and we will never promise an approval. What we do: scope the work first, and if a program plausibly fits, structure the deliverables so the paperwork is clean.
See how Grant-Backed AI worksStart here
See what AI is worth per shipment
The free scorecard takes 5 minutes. It identifies which workflows in your operation have the highest automation potential โ and gives you a concrete starting point.
No commitment. The discovery call is 30 minutes. If the ROI math does not work, we will say so.