Re-engineer the desk.
Reps read tenders, key orders, answer "is it still available," chase PODs and upload invoices. One operator running 50 to 70 loads faced 400+ emails a day and 20+ portals.
C.H. Robinson runs 30+ agents: quoting, email order build, appointments, tracking. Its orders agent builds 5,500 truckload orders a day. McLeod opened an AI Order Creation interface for certified providers in Nov 2024.
C.H. Robinson: 35%+, later 40%, more shipments per person per day since the end of 2022. Quote coverage from about 65% of requests to 100%, in about 30 seconds.
More loads per rep at the same margin is more gross profit per head. The goal is not fewer brokers. It is each broker selling most of the day, not a third of it.
The why behind every number. Shadow 2 brokers, 1 carrier rep, billing and tracking, at the desk.
Every load, every timestamp, every hand-off. 30 days of McLeod data. All of the volume, none of the memory.
The rules nobody typed into McLeod, and where the documented process drifted. 30 days of email.
| # | Type | Location | Appointment |
|---|---|---|---|
| 1 | Pickup | ||
| 2 | Delivery |
| Field | POD | Rate con | Order | |
|---|---|---|---|---|
| Load # | 1042 | 1042 | SAMPLE-1042 | ✓ |
| Consignee | Jobsite, Lake Charles | Lake Charles LA | Lake Charles LA | ✓ |
| Pieces | 24 | 24 | 24 | ✓ |
| Delivered | 10/09 10:38 | by 10/09 14:00 | by 10/09 14:00 | ✓ |
| Signature | Present | ✓ | ||
| Carrier | Sample Carrier Co. | Sample Carrier Co. | Sample Carrier Co. | ✓ |
Montgomery v. Caribe Transport II (Supreme Court, May 2026) exposes brokers to state negligent-selection claims. Some broker liability renewals are up double and triple digits.
TIA: 1,600+ fraud reports, Sept 2024 to Feb 2025, up 65%.
Reads tender emails, PDFs and sheets. Drafts the order in McLeod with stops, weights, equipment and customer rules.
Pulls lane history and market rate, drafts a quote inside margin rules, flags OD, permits and tarps.
Answers "still available, what's it pay" on DAT and Truckstop loads, captures offers, sends targeted offers from history.
Extend Chain, the AI tracking Cowtown already runs. Do not rebuild it. Exceptions into McLeod, customer updates.
Highway, Carrier411 and FMCSA checks at booking. A dated reasonable-care record on every load.
POD matched to rate con and order, accessorials checked, invoice packet built, portal upload, AR follow-up.
SOPs, customer rules, McLeod how-to and lane history, answered in Google Chat or Gmail. Powers the other agents' rules.
Detects dwell from tracking timestamps and drafts the bill. Books and moves appointments by email or dock portal.
Baseline is real for this desk. $94.5k sits just under Cowtown's own posts that W-2 reps each do "$100K+ in GP a month."
Likely is not a vendor number. +36% sits at C.H. Robinson's disclosed 35 to 40% shipments-per-person gain, and well below vendor "2x" claims.
Freight is there. One Cowtown team "cannot grow with our current customers until we add another Broker."
Tender to cash, carrier sales, billing. Knows which step is theatre and who really decides. Brokerages have this person.
Integrations, permissions, rollback, in the systems the desk already runs. Software firms have this person.
Knows what a model can be trusted with, and where it has to stop and ask a broker. AI labs have this person.
McLeod, Gmail and Drive, customer portals, Highway, Carrier411, Chain, DAT, Truckstop. Write which one wins when two disagree.
Tender to paid. Count how many touched the inbox more than twice. Count the ones that went around a loop.
From the email to the booked truck. Every click, every tab, every wait. Time the work against the waiting.
Delete it, give it to code, give it to an agent, or keep it with a broker. In that order. Most people start at the agent.
The smallest change that gives a broker time back this month. Then build that, inside McLeod and Gmail.
Interviews for the why. Mining McLeod and Gmail for the what.
The waiting is the process. The keying is minutes.
Someone who can sign it across sales, carrier and billing. Nothing about this step is AI.
Delete, plain code, an agent, a broker. In that order.
Loads per rep, quote response, days to invoice. Write the number on the wall.
McLeod, Gmail, Google Chat. No new dashboard. The baseline is the only proof it worked.
| Workday | 9 hours (540 min) |
| Baseline loads per rep per day | 15 (low end of practitioner 15 to 20 range) |
| Working days per month | 21 |
| GP per load | $300 (TIA Q2 2026 $1,989 revenue x 14.5 to 17.8% margin) |
| Selling time | 12 min per load, about one third of the day |
| Clerical time | 360 min a day: carrier comms 150, tracking 90, order entry and quote prep 60, vetting and rate con 30, docs and billing 30 |
| Share agents absorb | Worst 25 to 35% · likely 50 to 70% · best 70 to 90% |
| Freed time used for loads | 60% (40% to prospecting and accounts) |
| Results | Worst 17.1 loads, $107.7k, +14% · likely 20.5, $128.9k, +36% · best 26.5, $167.0k, +77% |
Slides 7 to 9 use invented sample shippers, carriers, loads, people and rules. Mock screens are generic, not vendor software. McLeod requires AI order-creation providers to be McLeod Certified; the access path is confirmed in the assessment.