Project Background
With the rapid changes of new era, fast-moving electronic products have become an indispensable part of people's daily life. It is necessary to carry out a golden measurement of the production plan to meet electronic product sales problems and production. The project uses machine learning to complete sales forecasts to avoid the backlog of goods. It improves the balance of supply and demand for production and sales, which meets the requirements for reducing production costs and provides data-based data for the proportion of electronic consumer products invested in different channels basis for analysis. The project builds the final reliable predictive model through raw data acquisition stages, description and processing, feature engineering, modeling optimization, and model fusion.
The project construction brought social and economic value
From the perspective of big data analysis, it satisfies the balance of supply and demand for production and sales. It provides a valuable reference with data support capabilities for daily operations.