Demand Planning Module 1 Data and Methods

Demand Planning Module 1: Data and Methods

Demand Planning is the science of accurately forecasting the demand for your supply chain. In this workshop, you will learn how to develop a baseline statistical forecast and leverage a collaborative process to add customer intelligence.

The result is a more accurate plan that may include promotional activity, customer intelligence, and display activity. An accurate demand plan helps you reduce inventory costs and increase customer service levels. When properly implemented and used in the Value Chain Process, the demand plan helps create a lean and customer centric supply chain.

In this module, we discuss:

Demand Forecasting Overview                  

  1. Demand Forecasting Basics
  2. Key Terminology & Concepts
  3. Demand Process
  4. Organization Structure and Culture
  5. Role of the Demand Forecaster

Data Analysis & Model Selection

  1. Data Analysis
  2. Central Tendency and measures of Dispersion
  3. Outliers and Missing Data
  4. Structural Changes and Data Shifts
  5. Trend, Seasonality & Cyclicality
  6. Relationship of Data Characteristics to Error
  7. Model Assumptions About Data and Error
  8. Ex Post Forecasting
  9. Optimal Model Selection

Modeling and Graphical decomposition