Collect market-related data within the company, including sales data, customer data, product data, etc.

Organize and store internal data for subsequent analysis and prediction.

Collect external market-related data, including industry reports, market research data, competitor data, etc.

Obtain external data through various channels, such as subscribing to industry reports, participating in market research, etc.

Remove duplicate data and erroneous data to ensure the accuracy of analysis results.

Classify and label data to facilitate subsequent analysis and prediction.

Use statistical analysis methods, such as regression analysis, time series analysis, etc., to analyze the relationships and trends between data.

Establish corresponding prediction models, such as trend prediction models, regression models, etc., to predict future market trends.

Visually display forecast results, such as generating trend charts, reports, etc., to help decision-makers understand and use them.

Based on the forecast results, formulate corresponding marketing strategies and plans to support decision-making.

Collect new market-related data and update it into the system to keep the data current.

Provide feedback and evaluation of the system's prediction results to verify its accuracy and effectiveness.

Track and monitor the implementation and effects of decisions, and make necessary adjustments and optimizations.

Regularly evaluate the effectiveness of the market forecast information system to improve its forecasting and decision support capabilities.