• Post category:StudyBullet-14
  • Reading time:4 mins read


Bootcamp for Industry Leading Demand Planning Methodology and Practices

What you will learn

Demand Planning

Demand Forecasting

Marketing Management

Case Studies

Measure forecast accuracy & bias

Sales & Operations Planning

Description

Demand planning is a cross-functional process that helps businesses meet customer demand for products while minimizing excess inventory and avoiding supply chain disruptions. It can increase profitability and customer satisfaction and lead to efficiency gains.

Demand planning requires analyzing sales as well as consumer trends, historical sales, and seasonality data to optimize your business’s ability to meet customer demand in the most efficient way possible.


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Effective demand planning delivers both profit and customer satisfaction by helping businesses strike the right balance between sufficient inventory levels and customer demand. That’s not an easy goal, especially since it requires coordination across your entire organization. But the business implications are significant. Excess inventory locks up working capital, adds inventory carrying costs, and increases the potential that you’ll be stuck with low-value or obsolete inventory. Alternatively, poor planning can result in avoidable supply chain disruptions and leave a company short on products, which can result in backorders, stockouts, or costly scrambles for raw materials. All of these issues can result in delays, which leads to dissatisfied customers.

This Masterclass/Bootcamp course will help to make your Demand Planning process more effective and efficient resulting in optimal inventory, customer satisfaction, least stockouts, and avoiding supply chain disruptions.

English
language

Content

Introduction

Introduction
Demand Management
Demand Vs Forecast
Real Demand
What is Demand ?
Types of Demand
PTF – Planning Time Fence

Marketing & Demand Management

Four Ps of Marketing
Product Lifecyle Mangement
Cannibalization & Halo Effect
Types of Cannibalization

Demand Forecasting

Importance of Forecasting
Forecasting Principles
10 Steps of Forecasting
Principles Of Data Management
Forecasting Accuracy and Bias
Moving Average
Exponential Smoothing
Rolling Forecast
Forecast Balancing