You’re evaluating a layout change, an automation investment, a capacity expansion or a make-or-buy decision. You have operational data (OEE, cycle times, costs) but you can’t translate them into a defensible recommendation.

The problem is not a lack of data. It’s that the data measures different levers and is not comparable as-is.

ORVEN builds a model on your real data, separates the levers and produces a business case with payback and ROI in conservative mode. The result holds up even when someone changes the volume assumptions.

You do a quick preliminary analysis to build your proposal; half a day, two at most. It’s an experience-based estimate, not a calibrated model. It works, but it has a limit: it doesn’t produce a defensible economic number in front of the client’s CFO.

The client doesn’t ask for it explicitly. But when they hesitate on the proposal, it’s often because they don’t clearly see how much the intervention you’re proposing is worth.

ORVEN steps in at that stage. It doesn’t replace your analysis, it strengthens it. It takes the data you already have or collect in that half day and produces a structured business case: structural cost of the problem, dominant alternative, payback, ROI, NPV. With ex-post deviation validated at 2–5% on real cases.

The pilot is charged to the client, not you. You bring one more tool to the pre-project phase. The client understands earlier how much the intervention is worth. Your project approval rate goes up.

You collect operational data: OEE, throughput, cycle times, logistics flows. You have a dashboard. You have the metrics. But your clients struggle to turn that data into a structural decision: which layout to adopt, where to act on OEE, when it makes sense to invest in automation.

ORVEN is a decision layer on top of the data you already collect. Not an additional dashboard, but an engine that turns operational data into a quantified economic business case.

If you’re looking for a way to add decision value to your offering, let’s talk.