Most transport operators carry margin in places nobody owns: planning assumptions, allocation rules, decisions made in the moment. None of it shows in normal reporting. We find where it's leaking.
KPIs. Reports. Constant monitoring. Constant explanation. Most operators are drowning in dashboards but still can't see where the money's leaking.
Rules that quietly decide where every vehicle goes, and often aren't retested against current operating reality.
Routes get replanned constantly, but the assumptions underneath them (what makes a route "good") can quietly stay frozen while conditions move on.
Even where load is actively managed with double drops and stacking, margin can still sit unused in the moment, visible only in retrospect.
Decision rules that often haven't been retested against current conditions. They keep running because they always have.
In the operations we've analysed, that's where transport cost tends to hide.
Measured improvements in exactly those areas, surfaced inside operating transport businesses, against their own data, on their own infrastructure.
A 41.7% reduction in trucks needed, uncovered across one month of live operations. The customer's planning systems weren't broken. The constraints underneath them just hadn't been retested against current operating reality.
The model found it. The team acted on it. Nothing was ripped out.
One UK transport operator. One TMS extract. Two questions pursued until the numbers stopped moving.
One month of a UK pallet network, replanned under its own constraints. The same 7,121 consignments delivered, wasted deck space down 78.8%.
One year of subcontracted haulage, repriced under three passes of tightening constraints: the number you can take to a board.
You send one extract of your operational data over encrypted SFTP. We run a first-pass review and give you a readout call: how ready or messy the data is, where cost is likely hiding, and whether a full diagnostic is worth running. No models built. No commitment.
If the audit shows the work is worth doing, we run the full diagnostic. Models built and validated on your data, findings quantified and ranked by what is worth acting on first. All still off-site, all still on a data extract. Fixed price of £10,000.
Once the diagnostic proves out, we ship AI servers to your site for a no-commitment on-site pilot. A live model with the decision engine running inside your network, tested against live operating conditions.
After the on-site proof holds, we spec a full solution. You decide what comes next: keep it running, extend, or stop. Your call.
One extract of your data, one week of first-pass review, and a readout call. You leave with a plain answer on whether the deeper work is worth running, before any money changes hands.
A first read of the extract you sent: what shape it's in, what gaps sit inside it, and what a full diagnostic could and could not support today. No sugar-coating.
An initial pass at the places cost tends to hide in your operation, drawn from what the extract already shows. Not the full quantified picture yet, but enough to know whether the diagnostic will find something worth chasing.
A clear go or no-go on running Stage 2. If the data can't support the work, we say so plainly. If it can, you know what to expect from the diagnostic before you commit to it.
Most AI vendors push your operational data through their cloud and someone else's models. We don't. Your data is handled in a controlled environment from day one, and in deployment runs entirely on infrastructure inside your own network. We build predictive decision models against your data and show you exactly how every recommendation is generated.
Flow Dynamics is focused on transport. The method behind it has been applied across other complex operations. Here's what previous clients said.
Before working together, a lot of our time went into reconciling systems and explaining numbers rather than acting on them. The work helped quiet that down. Decisions became clearer, and day-to-day operations now run with far less friction.
We were carrying a lot of operational effort just to keep things aligned. The outcome wasn't more tooling; it was fewer checks, clearer signals, and a system we could trust without constant intervention.
One extract, one week, and a straight answer on where your margin is leaking.
Talk to Flow Dynamics