Develop a risk-adjusted recommendation for [Company]’s end-to-end network in [Region] over [Timeframe]. Evaluate ocean, air, rail, and road options per corridor, incorporating disruption probabilities (port congestion, strikes, weather), variability in lead times, and total landed cost in [Currency]. Quantify trade-offs between cost and service by modeling expected cost per shipment, probability-weighted delay hours, and on-time performance versus the [Service_Level_Target]. Calibrate recommendations to [Risk_Appetite] and specify “trigger points” (e.g., transit time variance or spot rate thresholds) that justify modal shifts or capacity reallocation.
Output format: 1) Executive summary (≤150 words). 2) Table with columns: Corridor | Current Mode | Alternatives | Expected Cost ([Currency]) | On-Time % | Delay Hrs (P50/P90) | CO₂e/TEU | Key Risks | Mitigations. 3) Portfolio view: efficient frontier (cost vs on-time) with narrative of 2–3 Pareto-optimal choices. 4) Decision: recommended mix by corridor, risk limits, monitoring KPIs, and escalation triggers.