Supply Chain Analytics and Forecasting
Gain insights into the power of analytics in supply chain management. Learn how to use data-driven techniques for accurate demand forecasting, inventory optimisation and strategic decision-making to enhance supply chain efficiency and responsiveness.
R295
Course Information
This course comprises three modules, with each module providing theoretical and practical insights, video explainers, in-lesson tasks, and case studies to support the learning process.
- 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.
Learning Outcomes:
By completing this course, you will be able to:
- 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
Certification
Certificate of Completion
At LearnHUB, we believe in recognising your achievements every step of the way
That’s why we offer certificates for every course you successfully complete, all included in your purchase
Admission and user requirements
- There are NO admission requirements
- Own laptop or PC or tablet/mobile
- Own internet connection required
- Approximately 1-2 GB of data
