Agentic AI for Next-Gen Supply Chain & Procurement Data Quality

Procurement and supply chain operations in production-intensive industries are notoriously complex. Legacy systems, disconnected processes, and manual interventions make it difficult for enterprises to modernize especially when poor data quality prevents them from deploying AI agents that could automate and transform day-to-day workflows.

In supply chain dynamics, even minor data inconsistencies can cascade into major operational disruption. Poor material and procurement data amplifies the Bullwhip Effect - where small shifts in demand lead to excessive inventory swings, stockouts, expediting costs, and reduced trust in planning systems. This is the same pattern often demonstrated through the Beer Game concept - showing how inaccurate signals create chaos across the value chain.

Yet the same AI technologies that rely on high-quality data can now also be used to improve it. With the right training data, domain-specific prompts, and purpose-built models, AI agents can resolve data quality gaps at scale removing one of the biggest barriers to automation in ERP and procurement environments.

This insightful session with David Inbar, Founder of Minet Technologies and a renowned leader in supply chain and procurement technology innovation. David will break down how enterprises can practically adopt these new capabilities - and what steps to take today to:

• Automate repetitive, time-consuming processes
• Improve data quality at the source
• Enable intelligent, system-driven procurement operations
• Remove key barriers holding back AI transformation

Who Should Listen

✔ Supply Chain Leaders & Transformation Heads
✔ Procurement & Strategic Sourcing Professionals
✔ CIOs, CDOs, and IT Leaders driving ERP modernization
✔ Data Governance, MDM & Analytics Teams
✔ Operations Leaders in Manufacturing and Asset-Intensive Industries

If you’re exploring how AI agents can transform procurement performance and data governance - this conversation is for you.