AssetMetrics unifies your equipment, booking, and depot data into one clean view of the whole container fleet – so you can see, per unit and per location, what is turning, what is sitting idle, and what each box actually earns.
Equipment data is spread across terminals, depots, booking systems and EDI feeds that were never built to agree. Without a single view, no one can say with confidence where the fleet actually is or what it is doing.
So idle boxes, per-diem leakage and type imbalances stay hidden until they surface on a cost report – a month after you could have moved them.
AssetMetrics brings equipment, booking and depot data – plus terminal and EDI feeds – into one clean, current picture of the whole fleet, cleaned and reconciled even where the source data disagrees.
See utilization by equipment type and location – which units are in productive rotation and which are idle, quietly racking up per-diem and storage while demand goes unmet elsewhere.
AssetMetrics shows what each equipment group and lane earns against what it costs to hold, so idle capital is obvious. It feeds Demand Forecasting and Network Optimization directly.
Terminals, depots, bookings and EDI reconciled into one current view every team can trust.
Spot units sitting idle by location and type before per-diem and storage quietly stack up.
See what each group and lane earns against the cost to hold it, so idle capital stands out.
Forecast container demand by port, lane and type – weeks before the bookings confirm it.
Turn forecasts into least-cost empty repositioning moves that cut idle days.
Equipment, booking and depot data plus terminal and EDI feeds, cleaned into one view of where every container is, what it is doing and what it earns.
No. AssetMetrics connects to the terminal ops, depot systems, booking platforms and EDI feeds you already run; it is an analytics layer on top, not a replacement.
Yes. It flags units sitting idle by location and equipment type, so you can see per-diem and storage exposure building before it hits a cost report.
Standard dry, high-cube, reefer and specials – analysed by type, size and location so imbalances are visible per group, not just fleet-wide.
The clean equipment picture feeds Demand Forecasting and Container Network Optimization, so analysis turns directly into forecasts and repositioning moves.
Book a 30-minute demo – we’ll walk you through container analytics on a comparable network setup.
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