AIML19 - A.I.-Powered Supply Chain Management for Industry Professionals
1144518
Delivery Methods
In-Person
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Program Description
A.I. and machine learning tools can help you improve supply chain resilience, control costs, and increase productivity – but only if you know how to use them. In this program, you’ll learn how A.I. tools can be used to support supply chains, including managing inventory, tracking shipments, improving forecasting accuracy, supporting smarter procurement decisions, analyzing supplier performance, predicting risks, and automating time-consuming processes.
Learning Objectives
After completing the program, you will be able to:
- Identify specific supply chain functions where A.I. and machine learning can deliver measurable value in a manufacturing environment
- Evaluate A.I.-powered solutions for inventory management, demand forecasting, and procurement against their organization's operational needs and technical readiness
- Recognize common implementation challenges and risk factors when adopting A.I. tools, and apply criteria to assess vendor solutions
- Develop a preliminary action plan for piloting A.I. capabilities within their supply chain operations
Who Should Attend
- Manufacturing operations leaders, supply chain managers, procurement professionals, and IT decision-makers across small, mid-size, and large organizations.
Instructors/Subject Matter Experts
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Sharad Kumar, MBA, BSME, brings more than 25 years of experience across multiple industries and both continuous and discrete production environments. He specializes in leading and coaching large, multinational organizations through lean transformations, operational excellence initiatives, and digital manufacturing journeys.
A seasoned digital transformation strategist and business consultant, Girish Shah, MBA brings over 30 years of experience helping organizations modernize and optimize their operations through technology. His expertise spans evaluating and improving business processes, defining business and IT requirements, developing technology roadmaps, and leading the selection and implementation of advanced systems—including ERP platforms, data analytics, and AI-enabled solutions.