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Logistics & Freight Brokerage

Your coordinators are drowning in emails, not moving freight

Freight brokerages lose 3 to 4 hours per coordinator every day re-keying shipper rates, calling drivers for check-ins, and auditing invoices. Automated ingestion pipelines parse load requests directly into your TMS, giving coordinators their day back.

Team Knowyours·4 min read·
3–4 hrs/day*
Potential operator time lost
Manual rate entry and repetitive TMS updates consume hours of daily effort.
15–20 hrs/week*
Potential manual effort
Driver check calls, status updates, and ETA follow-ups create daily workload.
3–5%*
Potential freight spend leakage
Invoice discrepancies, unbilled accessorials, and rate errors cause leakage.

Where freight coordinators lose hours

Three operational bottlenecks where repetitive administrative data entry drains brokerage margins.

3–4 hrs/day lost*

Manual Rate Re-Keying

Coordinators spend 3–4 hours daily copying rates, lane origins, and equipment types from shipper emails into McLeod or TMW.

15–20 hrs/week lost*

Driver Check-Call Chasing

Dispatchers make dozens of repetitive calls daily to confirm transit locations, dock check-ins, and delivery ETAs.

3–5% revenue leakage*

POD Reconciliation & Audits

Blurry dock paperwork, fuel surcharge discrepancies, and ghost charges cause invoice disputes and cash-flow delays.

Automations that fit freight operations

Modular pipelines engineered for freight bottlenecks. Teams deploy only the components they need.

Email-to-quote parsing

< 60s turnaround

Parses origin, destination, equipment, dates, and rates from shipper emails and writes validated quotes into McLeod or TMW in under 60 seconds.

Automated driver check-calls

Zero manual calls

Scheduled WhatsApp and SMS bots reach drivers for automated transit updates and sync location milestones to your TMS without phone calls.

Highway API carrier vetting

Automated checks

Pulls carrier authority, insurance status, and safety ratings before dispatch. Expired or flagged carriers are blocked automatically.

Multimodal POD reconciliation

Stops billing leakage

Vision models match dock delivery receipts against carrier invoices to catch fuel surcharge discrepancies, unbilled accessorials, and uncompleted loads before payment.

Calculate your return

Estimate the annual cost and hours recovered by automating manual coordination.

$35/hr
$20$90
18 hrs/wk
5 hrs50 hrs
Projected annual recovery
$32,760/year
Monthly savings$2,730/mo
Time recovered936 hrs/yr

How email-to-quote parsing works end-to-end

From inbound shipper email to validated TMS quote in under 60 seconds.

Stage 1

Email Ingestion

Monitors your brokerage inbox for inbound load requests without changes to your current email setup.

Stage 2

Field Extraction

Extracts lane, equipment type, weight, commodity, and rate from email bodies and attachments using vision models.

Stage 3

Schema Validation

Validates complete fields against business rules; records with ambiguous data route to a human review queue.

Stage 4

Direct TMS Write

Writes validated quotes directly into McLeod, TMW, or MercuryGate and alerts the coordinator immediately.

Common operational concerns

Straight, technical answers to the questions operators raise before deploying.

Concern 1

We want to automate bottlenecks, not replace our whole software stack

Resolution

Each pipeline connects to your current TMS and inbox to automate a single task first, like rate entry or check-calls. Day-to-day workflows stay intact.

Concern 2

Our legacy TMS is old and doesn't have modern API integrations

Resolution

Legacy systems rarely offer modern APIs. The pipeline posts validated load records directly via database connectors and RPA, with zero code changes required.

Concern 3

Driver PODs arrive as blurry mobile photos from dark loading docks

Resolution

Vision models read skewed, low-resolution receipts from driver phones. Scans below 95% confidence route to coordinators for a 10-second check instead of guessing.

Frequently asked questions

Answers about timeline, platform integrations, and pricing.

An email-to-quote parsing agent monitors your inbox for inbound load requests. It extracts origin, destination, equipment type, weight, commodity, and shipper rate from the email body and attachments using vision models. Extracted fields pass through schema validation before writing directly into your TMS as a new quote record, without manual re-keying.

To scope which pipeline would recover the most coordinator hours in your brokerage, review our process from Discovery to Delivery, or book a free 30-minute diagnostic call with our team.

*Illustrative industry benchmarks; actual time and savings vary by workflow, shipment volume, and operating model.

Ready to stop re-keying rates and chasing PODs?