This week, Ryan Misquita of IBM shares practical Gen AI use cases in supply chain planning, from exception management and forecasting to clean data foundations, KPI measurement, and avoiding pilot purgatory. Download the episode transcript ===== In this episode, IBM's Ryan Misquita joins us to discuss practical Gen AI in supply chain planning, real-world use cases, data governance, integration, KPI measurement, and rollout challenges. The episode also explores how AI can elevate planners and what autonomous, agentic supply chains may look like next. ===== Guest 1: Ryan Misquita, Associate Partner, IBM Consulting, IBM Ryan Misquita is an Associate Partner and the IBM SCM North America Practice Leader. He has over 20 years of experience in business strategy and technology solution design across the Manufacturing, Distribution, Life Science, and Retail industries. A specialist in SAP S/4HANA, Digital Supply Chain and SAP IBP - Integrated Business Planning , Ryan has a proven track record of leading large-scale consulting engagements that transform integrated planning and manufacturing supply chain operations. Host 1: Richard Howells, SAP Richard Howells has been working in the Supply Chain Management and Manufacturing space for over 30 years. He is responsible for driving the thought leadership and awareness of SAP’s ERP, Finance, and Supply Chain solutions and is an active writer, podcaster, and thought leader on the topics of supply chain, Industry 4.0, digitization, and sustainability. ===== Show Links: IBM Link IBM IBV Report : Unified ERP for the agentic enterprise https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/unified-erp IBM IBV - The SAP advantage for generative AI https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/sap-generative-ai Supply Chain Management: SAP Supply Chain Management SAP Insights: Supply Chain Follow Us on Social Media : Richard Howells: LinkedIn, SAP Digital Supply Chain: LinkedIn Please give us a like, share, and subscribe to stay up-to-date on future episodes! ===== Chapters: 00:00:00: Intro 00:00:59: Guest’s Introductions 00:02:13: Top Gen AI pain points in supply chain planning 00:03:37: Practical use cases moving from pilot to production 00:06:03: Building the foundation: clean data, governance, and process rigor 00:07:54: AI as augmentation: elevating planners, not replacing them 00:10:54: KPIs and how to measure Gen AI success 00:12:40: Avoiding pilot purgatory and rollout mistakes 00:17:10: How IBM supports supply chain transformation with AI 00:21:50: What is the Future of Supply Chain? 00:22:49: Outro
