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DEMAND PLANNING COURSE

Become a Demand Planner — and Build a Career Companies Fight For

Learn to forecast sales, manage inventory, and drive profits — with real tools used by FMCG companies.
You will learn how to:
  • Build accurate Sales Forecasts in Excel and Power BI
  • Improve Forecast Accuracy (MAPE, Bias) with real models
  • Use tools like SAP, Anaplan, o9, Power BI
  • Apply Machine Learning to short- and long-term planning
  • Run S&OP cycles and integrate forecasts into ERP systems
  • Learn from real cases: Nestlé, Danone, Castrol, Starbucks
This course is for you if:
  • You’re an analyst or planner ready to grow in operations, finance, or supply chain
  • You work in FMCG, retail, e-commerce or manufacturing and want to upgrade your forecasting skills
  • You're part of a team launching or improving S&OP or IBP processes
  • You want to apply Machine Learning to real business forecasting
  • You're switching careers and want a job-ready skill in 6–8 weeks
  • You work in a mid-sized company and want to apply best global practices from Nestlé, Unilever, P&G and others

What You Will Learn

(Content in development and subject to updates)

  • 1. Introduction to Demand Planning

    • What is Demand Planning and why it matters in business
    • Strategic vs. Tactical vs. Operational planning
    • Role of the Demand Planner in S&OP
    • Data sources: sales history, marketing, CRM, weather
    • Real cases: Nestlé, Mars, Starbucks

  • 2. Forecasting Methods

    • Qualitative: Delphi, expert opinion, new product launches (Castrol)
    • Quantitative (Time Series): Moving Average, Exponential Smoothing, ARIMA (Unilever)
    • Causal Models: Regression based on price, promo, media ( BIC)

  • 3. Machine Learning in Forecasting

    • Benefits: speed, precision, automation
    • Popular models: Gradient Boosting, Neural Networks
    • Tools: Anaplan, Solvoyo, Domo
    • Business use cases: Starbucks predicts weather-driven demand, Unilever automates end-to-end forecasting

  • 4. Forecast Accuracy & Improvement

    • Core metrics: MAPE, Bias, RMSE, Tracking Signal
    • How to detect anomalies and adjust forecasts
    • Visualization and forecast iteration (Castrol, BIC)

  • 5. Integration & Collaboration

    • S&OP / IBP processes: aligning sales, supply, finance
    • Tools and systems: SAP, Oracle, Excel, Power BI
    • Examples: BIC global system

  • 6. Practice & Application

    • Templates and dashboards for FMCG, retail, pharma
    • Scenario planning: base / best / worst cases
    • Risk management with simulations and what-if analysis (Castrol, BIC)

  • 7. Digital Planning Tools

    • Platforms: SAP IBP, o9, Anaplan, Kinaxis, Power BI
    • Forecast automation via API, alerts, connectors
    • PepsiCo: Power BI dashboards; Kraft Heinz: o9 integration
    • Choosing tools by company size and maturity

  • 8. Career & Job Skills

    • Roles and paths: Analyst → Demand Planner → S&OP Lead
    • CV and LinkedIn profile tips
    • Real job descriptions (Nestlé, Danone, Unilever)
    • Skills employers look for in 2025

  • 9. Tools & Templates You’ll Get

    Excel: Forecast, Accuracy, Scenarios
    Power BI dashboards for sales & S&OP
    Python: ARIMA, Prophet, XGBoost
    ML accuracy & anomaly detection scripts
    S&OP deck, RACI, JD templates
This isn’t just a course — it’s a full career upgrade.
Master a skill that companies value at €30,000+ per year — and start applying it right away.
Take a free Modul 1. Introduction to Demand Planning
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