Caso de éxito: Forecasting Solutions for Bulk Shipping
Sector
Customer
Retail
Technologies
Briefing
A large multinational retailer needed a machine learning model capable of providing accurate mid- and long-term forecasts for its internal bulk shipping department.
Solution
We developed a fast machine learning forecast model equipped with sophisticated data preprocessing techniques. Special attention was given to incorporating important destination-dependent events, such as holidays and commercial activities, to enhance the model's accuracy.
Result
The implementation of this solution led to a significant reduction in the error of mid- and long-term capacity estimates, improving operational efficiency and resource allocation within the shipping department.