Every asset, every hour — utilization reasoned, downtime predicted.
Heavy equipment, power assets and vehicles fused from the EAM register, telematics feed and project demand plan. AI surfaces idle capital, maintenance windows and reallocation moves with quantified payback.
Group fleet utilization sits at 67.8% — 10.2 points below target — with $24.8M of capital tied in 63 idle assets. AI has identified 5 high-confidence reallocation moves worth $4.9M annualized (idle Liebherr to NEOM, CAT 352 to replace failing CAT 336, Cummins QSK60 to Sharjah). Breakdown trend is degrading 28% QoQ, concentrated on units past their 500h interval — pre-emptive service on 3 assets in the next 14 days avoids an estimated $1.8M of downtime. Two assets (A004, A018) meet retire-or-overhaul criteria and should be decisioned this week.
| Class | Total | Active | Idle | Maint. | B/down | Utilization |
|---|---|---|---|---|---|---|
| Heavy Equipment | 248 | 158 | 42 | 36 | 12 | 64% |
| Power Assets | 86 | 61 | 9 | 13 | 3 | 71% |
| Vehicles | 94 | 72 | 12 | 8 | 2 | 76% |
Utilization is 10.2 pts below target. Two-thirds of the gap is concentrated in 18 heavy units that have been idle >25 days while 9 active projects are renting equivalent assets at $11–18K/week. The cohort effect on breakdowns suggests a maintenance backlog rather than asset-quality issue — clear the backlog and MTBF recovers to ~900h within 6 weeks.