To address these challenges, MadeinWeb developed a forecasting solution based on machine learning, leveraging historical sales data for advanced modeling and high-accuracy demand projections.
The main steps of the project included:
Data mapping and ingestion: collection and automation of relevant information sources.
Predictive model development: implementation of machine learning to analyze patterns and forecast future trends.
Interactive dashboards: creation of panels to visualize metrics and monitor model performance.
Continuous optimization: adjustments and improvements to maximize forecasting accuracy and efficiency.