AI in Supply Chain, Sustainable Logistics, Predictive Analytics, Digital Twins, Blockchain Transparency, LaaS, Bootcamp
What you will learn
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Learners will be able to forecast demand, inventory needs, and disruptions, and recommend optimized decisions using AI-driven analytics tools.
Learners will demonstrate the ability to use digital twins for simulating real-time supply chain scenarios and evaluating risk mitigation strategies.
Learners will evaluate and implement strategies for carbon reduction, zero-waste logistics, and circular economy models including reverse logistics.
Learners will apply automation technologies like AMRs, drones, and IoT systems to streamline warehouse and last-mile logistics operations.
Learners will assess blockchain applications for enhancing product traceability, authentication, and fraud prevention in complex supply chains.
Learners will analyze geopolitical risks and redesign supply chain strategies with multi-sourcing and nearshoring principles for resilience.
Learners will explore and configure modular LaaS platforms leveraging APIs, cloud services, and marketplace dynamics.
Learners will interpret ESG regulations and integrate reporting frameworks to achieve sustainability and ethical accountability in supply chains.
Learners will apply modern cold chain technologies such as AI-driven spoilage detection and smart temperature controls to safeguard sensitive goods.
Learners will identify vulnerabilities and implement cybersecurity strategies including zero-trust architecture and AI-based threat detection.
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