Postgraduate Certificate in Demand Forecasting for Logistics

Name: Postgraduate Certificate in Demand Forecasting for Logistics
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The Postgraduate Certificate in Demand Forecasting for Logistics is a comprehensive course designed to equip learners with critical skills in demand planning and logistics management. This course is crucial in an era where accurate forecasting significantly impacts business success.

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AboutThisCourse

With the global logistics market projected to reach $12 trillion by 2023, there's an increasing demand for professionals who can effectively predict and manage product demand. This course fills that gap, providing learners with practical knowledge and tools to drive strategic decision-making in logistics and supply chain management. By the end of this course, learners will be able to apply advanced demand forecasting techniques, analyze complex data sets, and leverage predictive analytics to optimize logistics operations. These skills are not only essential for career advancement but also highly valued by employers in various industries, making this course a worthwhile investment for any professional looking to excel in logistics and supply chain management.

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CourseDetails

• Introduction to Demand Forecasting: Basics of demand forecasting, types of forecasting methods, and their importance in logistics.
• Statistical Methods in Demand Forecasting: Time series analysis, regression analysis, and other statistical methods used in demand forecasting.
• Quantitative Techniques for Demand Forecasting: Techniques such as exponential smoothing, moving averages, and Box-Jenkins methods.
• Qualitative Techniques for Demand Forecasting: Methods including executive opinion, historical analogy, and buyer surveys.
• Demand Forecasting Software and Tools: Overview of demand forecasting software, tools, and technologies.
• Integration of Demand Forecasting with Supply Chain Management: Aligning demand forecasting with supply chain operations, inventory management, and distribution planning.
• Monitoring and Evaluation of Demand Forecasting: Techniques for monitoring and evaluating the accuracy and effectiveness of demand forecasting methods.
• Machine Learning and AI in Demand Forecasting: Utilizing machine learning algorithms and artificial intelligence to improve demand forecasting accuracy.
• Demand Sensing and Real-Time Forecasting: Approaches for real-time demand forecasting and sensing, and their impact on logistics operations.

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ProficiencyEnglish
ComputerInternetAccess
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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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POSTGRADUATE CERTIFICATE IN DEMAND FORECASTING FOR LOGISTICS

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London School of International Business (LSIB)

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05 May 2025

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