Air cargo forwarders cannot accurately forecast seasonal demand volatility and optimize capacity planning

Logistics forwarders face unpredictable air cargo demand patterns that deviate from historical seasonal peaks, making it impossible to accurately forecast volumes, lock in rates, and allocate capacity efficiently. Traditional demand forecasting models fail when consumer behavior shifts unexpectedly, leaving forwarders either over-committed with expensive capacity or under-resourced during actual peaks, directly impacting margins and customer service levels.