AI Agents Supporting Decisions in Supply Chain Management
In this masterclass, Frank Giroux from Bayer explores how AI agents and large language models (LLMs) are revolutionizing decision-making in Supply Chain Management (SCM). This session will highlight how LLMs enhance operational efficiency, integrate with structured data, and drive digital maturity within large organizations. Attendees will gain practical insights into overcoming implementation challenges and embedding GenAI strategically to transform supply chain operations.
Time & Place
April 1, 2025
15:00 - 15:45
The Ritz-Carlton Berlin
Salon Tiergarten
Classroom Seating
Max. Capacity: 32 Seats
Meet Your Intructors
Frank Giroux
Manager Digital Transformation, Bayer
Frank Giroux is the Manager of Digital Transformation in SCM Pharma at Bayer Pharma, where he specializes in driving innovation through chatbot and large language model (LLM) applications. With eight years of experience in digital transformation and a decade managing product supply IT projects, Frank combines technical expertise with a passion for modernizing supply chain processes.
An industrial engineer with roots in Berlin and Toulouse, Frank earned the SCM Management Award for his groundbreaking 2017 Supply Chain Breakthrough project. As a recognized speaker on digital transformation, AI, and innovation methods, he continues to share insights and shape the future of AI-driven solutions in the pharmaceutical industry.
What To Expect
Who Is This For?
Supply Chain & Operations Leaders
AI & Digital Transformation Executives
Enterprise Strategy & Innovation Teams
Business Leaders Adopting AI
Pre-Requisites
No Prerequisits
What You'll Learn & Do?
Practical use cases of LLMs in supply chain decision-making
How to overcome key challenges in LLM adoption for SCM
Strategies for seamlessly integrating GenAI into enterprise ecosystems
A roadmap for driving digital maturity in supply chain operations
Agenda & Activities
Agenda for this session
5 min introduction
25 min presentation
15 min Q&A
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