June 26th - 27th 2025.Data Analysis and Demand Planning for SCM

09:00-09:05 Opening

I. The Essential of Supply Chain Management

——The challenges of SCM and Demand Forecasting.

——Why Demand Management is important to SCM?

——The elements and patterns of Demand Management

——The importance of Demand Planner

II. Forecasting Technology

——Forecasting Preparation

——Data Cleansing

——Forecast Accuracy Assessment

——Data pattern of time series

——The classifications of Forecast

——Qualitative and Quantitative Forecasting

——Qualitative Forecasting

▪ Moving Averages

▪ Exponential Smoothing: Simple, Trend, Trend & Seasonal

▪ How to Calculate Seasonal Index

▪ Decomposition

▪ Linear Programming

—— Advanced Forecast Models: ARIMA &SARIM

—— Application for Forecasting Modeling

—— Application and Case study for Forecasting Technology

—— Apps – Minitab, SPSS

—— Forecasting for promotion

—— Forecasting for New Production Introduction

10:45-11:00 Coffee break

III.The introduction of AI forecasting models

——LLM and AI Forecasting Models

——The differences for AI and Regular Models

——How the AI Forecasting Models work for the Organization?

Ⅳ. B2B Forecasting Method and Demand Sensing

——B2B Forecasting Method

——Demand Sensing

——What to do when Forecasting Models don’t works?

Ⅴ. S&OP and Demand Plan

——S&OP process and key factors

——DP role in S&OP process

——The input and output of each step in S&OP process

▪ New Product Forecast and Demand Plan

▪ Demand Forecasting for Demand Plan in S&OP

▪ Supply Plan Evaluation

——The key elements to success for S&OP process

Ⅵ. Material Analysis

——MRP and Procurement Strategy

——ABC-XYZ analysis

——Safety Stock Strategy and Models

——The development of EOQs models and some useful models

——Practice and Exercise: EXCEL skills for ABC-XYZ analysis and Safety Strategy

10:45-11:00 Coffee break