AI for Supply Chain Optimization
Learn to apply AI models to enhance end-to-end supply chain visibility, resilience, and efficiency, from procurement to final delivery.
51 courses
Apply reinforcement learning and modern AI concepts to solve real-world business challenges and optimize operations using Python.
Learn to configure and run heuristic and optimizer-based plans in SAP IBP to resolve capacity constraints and streamline your organization's supply chain network.
Align logistics, sourcing, and operations with business goals to design a modern, resilient, and sustainable supply chain network from scratch.
Discover how artificial intelligence and data-driven workflows transform infrastructure design, project scheduling, and predictive maintenance.
Master the fundamentals of modeling, analyzing, and optimizing physical, financial, and information flows to build resilient and efficient global supply networks.
Build resilient supply chains by understanding risk factors, managing supply and demand shocks, and applying modern strategies to maintain operational continuity.
Understand how distributed ledger technology, artificial intelligence, and API integrations are transforming modern supply chain finance and working capital.
Master resource allocation and risk modeling using Excel to build resilient, cost-effective supply chains and make confident decisions under uncertainty.
Learn to build robust, eco-friendly supply chains that withstand global disruptions while meeting modern environmental and ethical standards.
Learn how to integrate generative AI into daily workflows to improve operational efficiency and drive strategic growth.
Understand how to integrate AI and IoT technologies into logistics processes to enhance operational efficiency and strategic planning.
Learn how to leverage machine learning and predictive analytics to optimize inventory demand, anticipate logistics disruptions, and build resilient supply chain strategies.
Discover how to leverage generative AI models, retrieval-augmented generation, and smart prompting to optimize logistics, inventory, and demand forecasting.
Learn how to apply artificial intelligence and generative language models to optimize inventory, forecast demand, and streamline logistics operations.
Learn how to leverage predictive algorithms, neural networks, and modern data workflows to optimize inventory, forecast demand, and streamline logistics operations.
Master product configuration models, attributes, and constraints in Dynamics 365 Supply Chain Management to streamline complex manufacturing and sales workflows.
Learn to configure maintenance plans, manage work orders, and schedule downtime within Dynamics 365 Supply Chain Management to optimize your organization's physical assets.
Master lean manufacturing setups, manage subcontractor activities, and analyze production flow costing within Dynamics 365 Supply Chain Management.
Learn to configure, run, and analyze demand forecasting models in Dynamics 365 Supply Chain Management to improve inventory accuracy and supply chain efficiency.
Discover how to integrate blockchain, AI, and IoT to design transparent, sustainable, and equitable supply chains that meet modern ethical standards.
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