Sophus, Argon & Co to host live AI supply chain roundtable
Sophus and Argon & Co will host a virtual roundtable on June 24 with three supply chain practitioners to discuss what is working in AI for supply chain design and optimization, and what is not. The event is positioned as a practical look at implementation pitfalls, human judgment, and resilient network design.
Why it matters: - Supply chain AI tools are often failing when they are designed to replace human judgment instead of supporting it. - The roundtable aims to separate practical use cases from hype for companies trying to build more resilient supply chain networks.
What happened: - Sophus and Argon & Co announced a live virtual roundtable for June 24, 2026. - The session is titled "AI in Supply Chain Design & Optimization: Hype vs. Reality." - The event brings together three practitioners: Bob Ferrari, founder of Supply Chain Matters; Chris Keller, partner at Argon & Co; and Raphael Yue, product strategy at Sophus.
The details: - The discussion will focus on what is working in supply chain AI today. - The panel will also examine why many AI implementations stall. - Organizers say the conversation will cover what it takes to build a resilient network without handing decisions to a black box. - The event is being positioned as a practical discussion, with no product demos and no marketing language. - Registration is available through Reserve Your Spot, but the source text does not provide the destination URL.
Between the lines: - The event reflects a broader shift in supply chain software toward decision support rather than full automation. - The emphasis on practitioners suggests the companies want the conversation to feel operational, not promotional.
What's next: - The roundtable will take place virtually on June 24. - The discussion is expected to surface where supply chain AI is delivering value now and where adoption still breaks down. - Sophus and Argon & Co are likely using the event to shape the market conversation around practical AI deployment in supply chain design.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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