Predicting Demand when Historical Models Fail: CEVA Logistics’ Real-Time Peak Season Approach

Peak season isn’t what it used to be—and traditional forecasting models no longer tell the full story. In this video, Pierre-Alain Saclier, Consumer & Retail Sector Leader at CEVA Logistics, explains how peak season patterns have evolved and how logistics must adapt to keep pace with today’s volatility. 🔍 Evolving Peak Season Realities • Structural peaks still follow seasonal cycles—but with surges reaching up to 600% • Situational peaks emerge from political changes, weather disruptions, or sudden shifts in consumer behavior • Why logistics partners must scale fast and pivot across transport modes without impacting customer expectations ⚙️ Forecasting When Historical Data Fails • How CEVA’s AI Factory is testing advanced predictive models • Integrating real-time booking trends, economic indicators, and customer signals • Building responsive logistics that can react instantly—or proactively—when needed • Leveraging flexibility across ocean, air, road, rail, and hybrid solutions to balance speed, cost, and sustainability Discover how CEVA Logistics is redefining peak season readiness through intelligence, agility, and multimodal strength.