Technical Description

In this section, the technical details of Demand Forecasting are described. Data cleaning, learning engine, and forecast methods are considered.

• Data Cleaning
  • Centralized Moving Average
  • Confidence Interval
  • Detecting Outlier Data point
• Machine Learning Engine
  • Definitions
  • Heuristic Classification and Parameter Setting
  • Machine Learning
• Forecasting
  • Naive Forecasting
  • Moving Average
  • Exponential Smoothing
  • Holt Method
  • Holt-Winters Method
  • Croston Method
  • Tracking Signal
  • Trend damping factor