• AI & Predictive Analytics: Enables faster, data-driven decisions and disruption response—but requires high-quality, structured data and change management to succeed
• Control Towers & Visibility Platforms: Improve real-time tracking, collaboration, and responsiveness—but can be costly to implement and underdeliver without clear use cases
• Automation & RPA: Reduces manual workload and improves order accuracy—but may struggle with complex exceptions and requires strong process standardisation

Roundtable 1: Planning in a post-playbook world: can AI replace the monthly S&OP cycle? - Gerhard Ahlbrecht, Responsible Care and Logistics Manager, FECC 

Roundtable 2: Customer promises are often broken by bad data – so how can we fix it, and who owns this problem? - Ceylan Uensal, Former Vice President Global Supply Chain Business Line Catalysts, Evonik