Develop a CFO-ready ROI narrative that spotlights [FeatureName] within [ProductName] for temperature-controlled logistics. Quantify how the feature reduces loss versus a baseline [CurrentSpoilageRate] on shipments averaging [AvgShipmentValue] across a fleet of [FleetSize]. Build scenarios over [Timeframe] and align outputs to [KPIGoal].
Output format:
Assumptions (Bullet List): adoption curve, alert compliance, training time, device cost, replacement cycle.
Forecast Table (Markdown): Columns = Scenario (Base/Target/Stretch), Spoilage %, Incidents Avoided, COGS Saved, CAPEX/OPEX, Net Benefit, Payback (months), IRR.
Formula Appendix: show equations for incidents avoided and payback.
Sensitivity Tornado (Text): rank top 5 variables by outcome elasticity.
Executive Summary (≤120 words): headline impact and decision ask.
Tie each benefit to a measurable owner and review cadence. Include risk and mitigation entries for data completeness and process adherence.