4 posts tagged with βdemand sensingβ

Import bookings are rising in a policy-sensitive market. Shippers need demand-sensing discipline to separate tariff avoidance from real replenishment before capacity tightens.

Organizations deploying AI-based forecasting are cutting Mean Absolute Percentage Error by 31% on average β and translating that accuracy into 20-30% inventory reductions. Here's what the numbers actually mean for your safety stock strategy.

Fashion brands are ditching 9-month lead times for AI-powered 3-week production cycles. Here's how demand sensing, micro-batch logistics, and nearshoring are reshaping apparel supply chains in 2026.

Traditional demand forecasting relies on historical patternsβbut in a world of tariff shocks and geopolitical disruption, real-time demand sensing is proving 30-50% more accurate. Here's what logistics leaders need to know about the shift.