Description
Freight cost prediction uses machine learning to forecast shipping and logistics expenses based on historical data, current market trends, and external factors such as fuel prices and weather. By leveraging predictive models, logistics managers can better plan budgets, negotiate contracts, and identify potential cost-saving opportunities. This proactive approach helps businesses maintain profitability and avoid unexpected expenses.
