Fleet Control Tower
The daily asset view: availability, PM risk, repair aging, and the cost outliers that need a decision.
Fleet Canvas reads every system you run and tells you what each number means, what is driving it, and who should act. Your data arrives as decisions - not homework.
Fleet Canvas prices both paths on every major finding: what the next twelve months cost if nothing changes, and what they cost if you act. Straight from the app, real math, no chart-reading required.
Each system holds a true fragment. Read alone, every fragment points to a different conclusion. Fleet Canvas reads all five and writes the verdict none of them could.
1,420 key-on hours YTD. Last ping 2 hours ago. Position: yard 4.
Knows where. Not what it costs.Cooling system, three times. $4,180 in parts and labor, same VMRS group.
Knows what broke. Not whether to keep fixing it.14% above class median. 299 transactions on file this cycle.
Knows the burn. Not the cause.In service since 2019. Depreciating on schedule. Looks fine on paper.
Knows the book. Not the road.Harsh braking, both on the same route segment. Coaching pending.
Knows the risk. Not the pattern behind it.Repeat cooling repairs plus idle fuel burn put Unit 1147's twelve-month run cost at 64% of residual value, the worst ratio in its class. The braking events cluster on the route it idles on. One asset, one story, five systems that each saw a fifth of it.
The CFO sees capital and EBITDA. The shop sees the next repair decision. Operations sees what is blocking the crews. Same data, reshaped to the question being asked.
See how much capital is tied up in the fleet, whether that capital is producing earnings, and where replacement CAPEX or low-use assets create valuation risk.
Fleet leaders start with a hunch, not a query. Fleet Canvas turns the rough version into the real one - and answers it.
This is bigger than analytics. Fleet Canvas can become the bridge between the shop floor, field execution, and the boardroom.
Turn a working dashboard into a clean executive memo with thesis, CAPEX risk, EBITDA opportunity, action plan, and data confidence.
The fleet has adequate total capacity, but capital is trapped in low-use assets while aged critical units are driving repair cost and downtime.
Estimated $620k annual improvement from redeployment, repeat repair reduction, idle reduction, and vendor cycle-time control.
$4.1M replacement requirement over 12 months to avoid further aging and protect current earnings quality.
Redeploy 18 units, replace 9 high-cost assets, expedite 7 blocking repairs, and review 23 GPS/reporting variances.
Pick the view, connect your systems, and the tiles fill with your fleet. Every tile carries Explain, owners, and the so-what built in.
The daily asset view: availability, PM risk, repair aging, and the cost outliers that need a decision.
Capital deployed, the CAPEX gap, EBITDA leakage, and a value creation plan with named owners.
Crew readiness, equipment blockers in front of revenue, and the exception queue with a manager's name on every line.
Run cost against residual value by asset, so the next CAPEX dollar goes to the unit that earns it back fastest.
Repeat repairs on the same system inside 90 days, matched against coverage. Money already spent, waiting to come back.
Idle share, cost per mile, and the short list of units moving the number, with an alert rule ready to set.
Device health, stale pings, and missing fields, so you know which numbers to believe before you act on them.
Keep the tools your teams already trust. Fleet Canvas sits on top, connects what they cannot see across systems, and turns it into one decision.
Stop combining spreadsheets. Start the meeting with the decision already on the table.