One Fleet
Decision intelligence for commercial transport.
Decision intelligence for commercial fleets.
PilotThe problem
Fleet decisions are made with partial information. Driver hours, vehicle state, charge or fuel, route history and job economics live in separate systems, so operators answer the hard questions from memory.
Why it matters
A missed job, an unnecessary charging stop or a vehicle sent that couldn't finish costs an operator real money every day. The information needed to avoid it already exists — it just sits in six systems that don't talk.
What we built
A decision layer for transport operators. One Fleet takes a job and answers it: can we do it, what should it cost, which vehicle, which route, and when to leave. Each answer carries the evidence behind it, and the outcome feeds back in.
Where it is now
In production test with a live fleet. Not publicly linked while the first operator runs on it.
From operating vehicles to imagining better ones
Anonymised operational observations from One Fleet help inform independent commercial-vehicle research at Quinn Labs.
Explore Vehicle FuturesStage
Disciplines
Looking for
- Fleet operators willing to run a pilot
- Telematics partners
- Energy and charging data
Latest progress
Now
Running inside a live fleet. Feasibility, pricing and timing answered per job.
Next
Outcome learning: comparing what was predicted against what actually happened.
Questions it answers
- Can I do this job?
- Should I charge?
- Which vehicle?
- Which route?
- Should I leave now?
Who it's for
Components
Research question
“Can a depot decide better than instinct?”
Why this matters
Fleet work is priced and scheduled from memory. A wrong yes costs a day, a vehicle and a customer — and nobody finds out until it is too late to change the answer.
Current progress
Pilot — running inside a live fleet, measured against what actually happened.
Workflow
Pilot
Running inside a live fleet today.
How it could work
Problem
A job arrives. Nobody can say for certain whether it is possible or profitable.
Current world
Six systems, one spreadsheet and a phone call. The answer is a guess made in ninety seconds.
Quinn Labs idea
One decision layer that answers feasibility, price, vehicle, route and departure — and shows its working.
Potential future
Depots that schedule themselves around energy price, battery health and tomorrow's work.
Research board
Ninety seconds
Operators decide in about ninety seconds. Anything slower than that gets ignored, however accurate it is.
Predicted vs actual
Every answer is logged against what really happened. The gap is the product.
Depot energy pricing
Half-hourly tariffs change the answer more than route optimisation does.
Open questions
Whose charger?
When two vehicles need the same charger, who decides — and can the reason be explained in one line?
Future possibilities
Research directions only. None of these exist, and some never will.
Questions we're asking
- Can I do this job?
- What should it cost?
- Which vehicle, which route?
- Should I leave now?
Potential collaborators
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We prototype possibilities. Not every question has an answer. Every answer begins with a question.
Similar problem in your business?
Tell us what you're trying to solve. We'll say whether it's worth building.
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