AI Sales Forecasting

Course overview

This training provides you with practical knowledge in the field of AI-supported sales forecasting. You will learn to confidently categorize typical tasks, apply suitable methods and tools, and prepare results in a comprehensible manner. The focus is on practical applications from the areas of Data Science, AI, Big Data, and sales management that will support you in your role as a sales manager or in comparable professional tasks. Fundamental principles of AI-supported sales forecasting Difference between statistical methods and machine learning models Understanding time series analysis as the basis of sales forecasting Data quality and feature selection for reliable predictions Data foundation and model selection for sales forecasts Cleaning and structuring historical sales data Comparing model types: ARIMA, Random Forest, neural networks Incorporating external influencing factors (season, campaigns, market data) Implementation and control of forecasting systems Evaluating AI tools and platforms for sales use Training, validating models, and interpreting results Analyzing forecast deviations and adjusting models Forecast-based sales management and decision-making processes Integrating sales forecasts into budget planning and resource management Combining AI recommendations with sales knowledge Communicating forecast results to stakeholders This training helps you to handle typical tasks in the field of AI-supported sales forecasting more securely and efficiently. You will connect professional knowledge with practical methods and tools from the areas of Data Science, AI, Big Data, and sales management. This strengthens your decision-making confidence in your role as a sales manager and allows you to apply the content directly in your professional everyday life. You will work with ChatGPT, Claude, Google Gemini, MS Copilot, Python, Visual Studio Code, Jupyter Notebooks, pandas, and NumPy.

Upcoming dates

• 2026-10-11T22:00:00.000Z · 2027-01-31T23:00:00.000Z · Eberswalde · Blended Learning
• 2026-10-11T22:00:00.000Z · 2027-01-31T23:00:00.000Z · Recklinghausen, Westfalen · Blended Learning
• 2026-10-11T22:00:00.000Z · 2027-01-31T23:00:00.000Z · Erfurt · Blended Learning
• 2026-10-11T22:00:00.000Z · 2027-01-31T23:00:00.000Z · Heilbronn, Neckar · Blended Learning
• 2026-10-11T22:00:00.000Z · 2027-01-31T23:00:00.000Z · Bergisch Gladbach · Blended Learning