Skip to main content
Mastering Demand Forecasting; A Step-by-Step Guide to Predicting and Managing Risk in Supply Chain Management

Mastering Demand Forecasting; A Step-by-Step Guide to Predicting and Managing Risk in Supply Chain Management

$199.00
When you get access:
Course access is prepared after purchase and delivered via email
How you learn:
Self-paced • Lifetime updates
Your guarantee:
30-day money-back guarantee — no questions asked
Who trusts this:
Trusted by professionals in 160+ countries
Toolkit Included:
Includes a practical, ready-to-use toolkit with implementation templates, worksheets, checklists, and decision-support materials so you can apply what you learn immediately - no additional setup required.
Adding to cart… The item has been added

Mastering Demand Forecasting: A Step-by-Step Guide to Predicting and Managing Risk in Supply Chain Management



Course Overview

This comprehensive course is designed to equip you with the knowledge and skills needed to master demand forecasting and manage risk in supply chain management. Through interactive and engaging lessons, you'll learn how to predict demand, identify potential risks, and develop effective strategies to mitigate them.



Course Objectives

  • Understand the fundamentals of demand forecasting and its importance in supply chain management
  • Learn how to analyze historical data and identify patterns and trends
  • Develop skills in using statistical models and machine learning algorithms for demand forecasting
  • Understand how to identify and assess potential risks in the supply chain
  • Learn how to develop and implement effective risk management strategies
  • Improve your ability to communicate and collaborate with stakeholders across the supply chain


Course Outline

Module 1: Introduction to Demand Forecasting

  • Definition and importance of demand forecasting
  • Types of demand forecasting: qualitative, quantitative, and hybrid
  • Overview of the demand forecasting process
  • Key challenges and limitations of demand forecasting

Module 2: Data Analysis and Preparation

  • Importance of data quality and integrity
  • Types of data: historical, seasonal, and external
  • Data preprocessing: cleaning, transformation, and normalization
  • Feature engineering: selecting and creating relevant features

Module 3: Statistical Models for Demand Forecasting

  • Overview of statistical models: ARIMA, SARIMA, and ETS
  • Understanding model parameters and hyperparameters
  • Model evaluation and selection
  • Using statistical models for demand forecasting

Module 4: Machine Learning Algorithms for Demand Forecasting

  • Overview of machine learning algorithms: regression, decision trees, and neural networks
  • Understanding model parameters and hyperparameters
  • Model evaluation and selection
  • Using machine learning algorithms for demand forecasting

Module 5: Risk Management in Supply Chain Management

  • Definition and importance of risk management
  • Types of risks: supply, demand, and environmental
  • Risk assessment and prioritization
  • Developing and implementing risk management strategies

Module 6: Collaboration and Communication in Supply Chain Management

  • Importance of collaboration and communication
  • Stakeholder analysis and mapping
  • Developing effective communication strategies
  • Building and maintaining relationships with stakeholders

Module 7: Case Studies and Real-World Applications

  • Real-world examples of demand forecasting and risk management
  • Case studies of successful and failed demand forecasting and risk management initiatives
  • Lessons learned and best practices

Module 8: Final Project and Assessment

  • Final project: applying demand forecasting and risk management concepts to a real-world scenario
  • Assessment and feedback
  • Final thoughts and next steps


Course Features

  • Interactive and engaging lessons: Learn through a combination of video lectures, quizzes, and hands-on exercises
  • Comprehensive and up-to-date content: Stay current with the latest trends and best practices in demand forecasting and risk management
  • Personalized learning experience: Get tailored feedback and support from expert instructors
  • Real-world applications and case studies: Apply theoretical concepts to real-world scenarios and learn from industry examples
  • High-quality content and expert instructors: Learn from experienced professionals with a deep understanding of demand forecasting and risk management
  • Certification upon completion: Receive a certificate issued by The Art of Service upon completing the course
  • Flexible learning: Access course materials and learn at your own pace, anytime and anywhere
  • User-friendly and mobile-accessible: Learn on-the-go using our mobile-friendly platform
  • Community-driven: Connect with peers and instructors through our online community
  • Actionable insights and hands-on projects: Apply theoretical concepts to real-world scenarios and develop practical skills
  • Bite-sized lessons and lifetime access: Learn in manageable chunks and access course materials for life
  • Gamification and progress tracking: Stay motivated and track your progress through our gamified learning platform


Certification

Upon completing the course, you'll receive a certificate issued by The Art of Service, demonstrating your expertise in demand forecasting and risk management. This certificate can be added to your resume, LinkedIn profile, or other professional documents to showcase your skills and knowledge.

,
!