In a brokerage or small carrier, margin disappears in the minutes between systems. A shipper emails a spot quote request and waits an hour. A driver's POD sits in a text thread for three days, so the invoice goes out late. A customer calls for a status the dispatcher has to look up in two portals. None of it is hard, but it adds up to fewer loads per rep.
InTheory acts as your fractional AI and technology lead. We would pick one expensive recurring workflow, measure it inside McLeod, Rose Rocket, Aljex or whatever TMS you run, and put a scoped improvement in place. Your reps and dispatchers keep approving rates, carrier selection and anything sent to a customer.
Spot quote requests arrive by email, portal and phone at the same time as reps are covering loads. Checking DAT or Truckstop rate data, the TMS history and current capacity takes time, so some requests get answered hours later and some never. Shippers give the freight to whoever replied first with a credible rate.
Rate confirmations, BOLs, PODs, lumper receipts and detention records come from drivers and carriers as photos, PDFs and texts. Someone matches each one to a load in the TMS before billing can invoice. Missing documents delay billing by days, hold up carrier pay, and stretch days sales outstanding.
Customers want location and ETA updates, and many still email or call for them even when tracking exists through MacroPoint, Trucker Tools or ELD data. Dispatchers and account reps spend a large part of the day answering where's-my-truck questions instead of covering freight or fixing exceptions.
A typical operation runs a TMS, a load board, a carrier vetting tool such as Highway or RMIS, an ELD or visibility platform, factoring, and QuickBooks or another accounting system. Data is rekeyed between them, so errors show up as billing disputes, duplicate carrier records and reports nobody fully trusts.
We fix one at a time, starting with the one that costs you most. Each page shows the steps, the tools, what stays human and what we would measure.
Follow up on every open spot and lane quote with timely, specific messages, log outcomes in the TMS or CRM, and show reps which shippers are worth a call today.
See the workflow →Read rate confirmations, BOLs, PODs and carrier packets as they arrive, match them to the right load, and flag missing signatures or accessorial receipts before billing is held up.
See the workflow →Sort the shared inbox into status requests, exceptions, quotes and billing questions, draft status replies from tracking data, and put urgent service failures in front of a person first.
See the workflow →Connect your TMS, load boards, visibility, carrier vetting and accounting so a load, carrier or invoice is entered once and moves cleanly between the tools you already pay for.
See the workflow →Give dispatchers a clear view of drivers, hours of service, equipment and loads, with suggested assignments they approve, so fewer calls and spreadsheets are needed to plan each day.
See the workflow →Invoice as soon as a POD is clean, send customers complete packets, and follow up on aging receivables consistently, with disputes and short-pays routed to a person.
See the workflow →Assemble on-time performance, lane volume, spend and exception reports for shipper accounts automatically, so quarterly business reviews take an hour to prepare instead of a week.
See the workflow →See loads per rep, gross margin per load, on-time pickup and delivery, DSO and carrier fall-off rate in one weekly view, by customer, lane and team.
See the workflow →How we deliver this: AI automation for small business or fractional CTO leadership, scoped in writing and run over 90 days. See pricing or the sample scope.
We start with what you already pay for. New tools have to earn their place.
Freight data is mostly commercial rather than personal, but it still matters. Shipper rates, lane volumes and carrier pricing are competitively sensitive, so AI tools should not train on your data or share it with other customers. Driver information, including phone numbers, ELD location and hours of service, needs access controls. Carrier vetting supports fraud and double-brokering defenses, so automation should strengthen those checks, not skip them. FMCSA rules and customer contracts set recordkeeping expectations your team should confirm.
General information, not legal advice.
Defaults are illustrative for logistics and freight companies (new shipper accounts per month). Change them to your numbers.
a month in staff time, before any lost sales
Illustration only, not a forecast or guarantee. Recovered staff time becomes a cash saving only if spending actually declines or the time goes into paid work. Tool costs are an assumption; we replace every number here with yours before recommending a scope.
It can help, but it should not set rates on its own. A useful setup pulls DAT or Truckstop market data, your TMS history for the lane and current capacity notes into a suggested range. The rep decides the buy and sell rate. Markets move quickly and customer relationships matter, so a person approves every quote that goes out.
Usually not. McLeod, Rose Rocket, Aljex, Tai and similar systems have more features and integrations than most teams use. A typical first step is to check what is already available, such as document imaging, EDI or API connections, before adding anything. A TMS migration is a major project and only makes sense if the current system clearly blocks growth.
It can make vetting more consistent, for example by checking every new carrier through Highway, RMIS or Carrier Assure before a rate confirmation goes out and flagging changes to payment details. It does not replace judgment. Your carrier team should still review red flags, and payment detail changes should be verified by phone with a known contact.
Something with a measurable cost, such as POD-to-invoice time, quote response time or hours spent answering status emails. We would baseline that number from your TMS and inbox, agree a target and acceptance criteria, then build and test with your reps or billing team over the next thirty days, using real loads.
No. InTheory is a fractional technology lead, so we do not resell a TMS or visibility platform. Our job is to help you choose, connect and adopt tools that fit your operation, and sometimes to recommend not buying anything. Tools and licenses are budgeted separately from our fee, and you keep the accounts.
In 30 minutes we look at one recurring workflow, what it costs you today and whether there is a credible case to improve it. If there is not, we will say so.
30 minutes with Phil or Martin. No technical brief, no pitch deck. Phil or Martin replies personally, usually within one business day.