Probabilistic Forecasting in Travel Retail - Part 1: Foundations

Travel retail presents unique forecasting challenges: extreme seasonality, dependency on flight schedules, economic shocks, and sudden policy changes. Traditional point forecasts fail to capture the inherent uncertainty in this volatile sector.

Point forecasts provide a single "best guess" but offer no insight into uncertainty. Probabilistic forecasting generates entire probability distributions, enabling:

- Risk-aware decisions: Understanding downside scenarios - Inventory optimization: Balancing stockouts vs. overstock - Scenario planning: Preparing for multiple futures - Confidence intervals: Quantifying forecast reliability

In travel retail, the difference between 50th and 95th percentile forecasts often exceeds 300%, making uncertainty quantification critical for operational planning.