AI is the loudest conversation in industry today, and raw material markets are no exception. Behind the headlines, adoption is early: nearly every company is experimenting, few have anything meaningful in production, and industry research keeps finding that most AI pilots never show a measurable return.

The bottleneck usually sits in the data. In raw material trading, the commercial knowledge behind every deal lives in emails, phone calls, and spreadsheets, while ERP systems record only the final outcome. The specifications, the enquiries, and the negotiation rounds that explain why a deal happened disappear from view, and when experienced people leave, that knowledge leaves with them.

In this MetalshubTalks webinar, we take an honest look at what AI can and cannot do for raw material markets today, and we share the direction Metalshub is building: turning the commercial activity captured on the platform into structured commercial intelligence, released as careful, well-tested functionalities. The session includes a first live showcase of the Metalshub MCP connector, which lets a company’s own AI assistant work with Metalshub the way a trusted colleague would.

The discussion explores:

• What is actually in use across metals and raw material markets today, beyond the hype
• Why most AI pilots stall, and what the working cases have in common
• What companies need in place before AI can answer real procurement and sales questions
• The capabilities Metalshub envisions on top of structured commercial data
• A first look at the MCP connector and what it could make possible

MetalshubTalks host Davide Nava is joined by Dr Sebastian Kreft, Co-Founder and Managing Director of Metalshub, and Julien Dedek, Teamlead Backend Development at Metalshub, for a conversation that combines market reality, product direction, and a live showcase.

Join the conversation for an honest look at how AI will change the way raw materials are bought and sold.

This session is designed for procurement leaders, commercial and sales teams, traders, supply chain managers, and anyone evaluating what AI realistically means for raw material markets.