What Will You Learn?

• In today's data-driven world, supply chain analytics plays a crucial role in enhancing efficiency, reducing costs, and driving strategic decision-making. This course provides a comprehensive understanding of how data analytics, artificial intelligence, and big data can be leveraged to optimize supply chain operations. It covers key analytics techniques, including descriptive, predictive, and prescriptive analytics, and explores their real-world applications in logistics, inventory management, supplier performance, and risk mitigation.
• Through practical case studies and hands-on insights, learners will gain the ability to apply analytics tools and methodologies to solve complex supply chain challenges, improve demand forecasting, and enhance overall supply chain performance. This course will also examine future trends such as digital twins, blockchain, and automation in supply chain analytics.

Audience

• This course is designed for professionals and students looking to enhance their expertise in supply chain analytics and data-driven decision-making. It is particularly beneficial for:
• • Supply Chain Managers & Analysts – To optimize operations and improve efficiency through data analytics.
• • Operations & Logistics Professionals – To enhance forecasting, inventory management, and route optimization.
• • Data Analysts & Business Intelligence Professionals – To apply analytics tools for supply chain insights.
• • Procurement & Supplier Relationship Managers – To assess supplier performance and risk using data-driven strategies.
• • Students & Academics – To gain a practical understanding of supply chain analytics and its real-world applications.
• • Technology & AI Enthusiasts – To explore the integration of AI and machine learning in supply chain optimization.
• By the end of this course, participants will have the skills to implement analytics-driven solutions, enabling smarter supply chain decisions, cost reductions, and competitive advantages in an increasingly complex global market.

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