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Episode 169: Practical GenAI Use Cases in Supply Chain Planning with IBM's Ryan Misquita

The Future of Supply Chain · 2026-06-29 · 23 min

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Episode notes

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.

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  • Episode 168: Making AI Work in Demand Sensing: The Six Dogmas for Trustworthy Forecasting with Implement's Mike Weisbjerg
  • Episode 167: Leadership Under Pressure: Preventing supply chain failures through grip and accountability with Leroy Roberts
  • Episode 166: Practical GenAI Use Cases in Supply Chain Planning and Execution with PwC's Moritz Kramer
  • Episode 165: Why A Business Network Is The Invisible Backbone of Supply Chains With BrainBox’s Adi Sharoff
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