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Learn how AI demand forecasting, logistics planning, and operational resilience help enterprises build a smarter peak season strategy, improve forecast accuracy, optimize inventory, and strengthen supply chain performance.
Peak season has become a test of enterprise decision quality. For consumer goods, media, automotive, and healthcare organizations, the pressure no longer comes only from higher order volume. It comes from demand volatility, freight uncertainty, supplier fragility, labor constraints, inventory imbalance, and customer expectations that leave little tolerance for late correction.
The evidence points to a more demanding 2026 planning environment. Gartner predicts that 70% of large organizations will adopt AI-based supply chain forecasting by 2030, which indicates that AI demand forecasting is moving from experimentation into core planning architecture. [1]
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