Available Dates
Venue
Dec-23-2024
Paris
Dec-23-2024
Dubai
Dec-30-2024
Singapore
Dec-30-2024
Barcelona
Jan-13-2025
Kuala Lumpur
Jan-13-2025
Istanbul
Jan-13-2025
Paris
Jan-13-2025
Barcelona
Jan-13-2025
Amsterdam
Jan-13-2025
Singapore
Jan-27-2025
Dubai
Jan-27-2025
London
Mar-10-2025
Dubai
Mar-10-2025
London
Apr-14-2025
Amsterdam
Apr-14-2025
Barcelona
Apr-14-2025
Paris
Apr-14-2025
Istanbul
Apr-14-2025
Kuala Lumpur
Apr-14-2025
Singapore
May-05-2025
London
May-05-2025
Dubai
July-14-2025
Paris
July-14-2025
Istanbul
July-14-2025
Barcelona
July-14-2025
Kuala Lumpur
July-14-2025
Singapore
July-14-2025
Amsterdam
July-28-2025
London
July-28-2025
Dubai
Oct-13-2025
Barcelona
Oct-13-2025
Singapore
Oct-13-2025
Paris
Oct-13-2025
Amsterdam
Oct-13-2025
Istanbul
Oct-13-2025
Kuala Lumpur
Oct-20-2025
Dubai
Oct-20-2025
London
Dec-15-2025
Dubai
Dec-15-2025
London
5 days course
Problems and Needs
Goals and Objectives
Coordination and Leadership
Process Management
Forecast Model Development
Communication with Participants and Users
Four Forecasting Process Approaches
Independent
Concentrated
Consensus
One Number
Myths About Forecasting
Silo Forecasting Impact on Organization
The Bullwhip Effect
Demand Variability and the Methods to Minimize It
Recognition of Data Patterns
What kind of problems to look for in the data and how to treat them
Profit Potential
Risk Management Input
Operations Planning
How much data to use for different statistical models
Subjective assessment models overview
Inherent assumptions
When time series work and when they don’t
Time series elements: Level, Trend, Seasonality, Cyclicality, Noise
Regression models
When to use regression models
Steps in development
Key assumptions
Forecast error metrics
Uses of forecast error measures
Sources of error
Error analysis, communication and remediation
Exception driven forecasting process
Relationship between MAPE / Bias, Customer Service and Inventory KPIs
New product success and error rates
New product success and failure factors
Issues to consider when developing new product forecasts
Qualitative and Quantitative methods used in new product forecasting
Promotions forecast error rates
Manage the process for unplanned and abnormal demand
Factors, issues, and considerations in developing romotions forecasts
Cannibalization impact of promotions on base / open stock SKUs
Worst practices in the mechanics of forecasting
Worst practices in forecasting process
Forecasting process
Data collection and analysis
Methods and models
Software and systems
Communications & People