Managing Supply Chain Uncertainty with Data Analytics and AI
About This Course
At the end of this course, learners are able to:
LO1: Apply supply chain strategies to build a strategic framework for analysis of supply chains.
LO2: Demonstrate how a company achieves strategic fit between its supply chain strategy and its competitive strategy through infrastructure design and planning.
LO3: Evaluate the main levers to deal with uncertainty in global supply management.
LO4: Develop strategies to meet future order fulfillment needs in a volatile global environment.
LO5: Predict demand and supply in a supply chain to achieve optimal efficiency.
LO6: Forecast future demand using standard and AI/ML techniques to derive in strategies for reverse supply chain optimization.
LO7: Design contractual terms that mitigate incentive conflicts during fulfillment to promote sustainable order processes and cost-saving strategies.
What You'll Learn
Through hands-on learning, participants will discover how to leverage AI-driven solutions and predictive analytics to enhance decision-making, streamline operations, and optimize supply chain resilience. Whether you are in logistics, procurement, or supply chain management, this course will empower you with the skills to not only manage uncertainty but to turn it into a competitive advantage.
Entry Requirements
Target age group: 21 year old and above.
Qualifications: Polytechnic Diploma; at least 3-5 years of relevant working experience; WPL English Level 5
Screening process will be conducted via a zoom video call and/or F2F interview with the interested learner who does not meet the prerequisites.