Supply Chain Analytics and Forecasting

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The programme aims to empower participants with the knowledge necessary to leverage supply chain analytics and forecasting to drive better decision-making and strategic outcomes in their organisations.

  • Duration: 2 -3 Hours or Self Paced
  • Publisher: LearnHUB, Powered by Regent Business School
  • Certification: A Certificate of Completion will be issued to all candidates who successfully complete the requirements of the programme.
  • Take your time and ensure to carefully engage with every aspect of this course, to ensure adequate preparation for the final assessment. A minimum of 80% is required to pass.
  • Understand the role of analytics in optimising supply chain operations.
  • Recognise different types of forecasting methods.
  • Comprehend the importance of data quality, data sources, and data integration in effective supply chain forecasting and analytics.
  • Recognise the importance of analysing supply chain data to generate actionable insights.
  • Compare different forecasting methods.
  • Reflect on the use of data-driven approaches to solve problems related to inventory management and demand planning.
  • Understand how analytics and forecasting fit into broader supply chain strategies and business goals.

Course Content

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Lesson 1: Introduction to Supply Chain Analytics
Lesson 2: Fundamentals of Demand Forecasting
Lesson 3: Advanced Forecasting Methods and Machine Learning
Lesson 4: Inventory Optimisation and Analytics
Lesson 5: Supply Chain Risk Analytics and Simulation
Illustrative Scenario: Walmart’s Supply Chain Forecasting
Additional Resource Material
Final Assessment