Large scale transformation of Sales & Operations Planning (S&OP) rarely begins with fully autonomous planning or end to end AI driven decision making. More often, it starts with a specific planning challenge, forecast volatility, misaligned demand and supply signals, or slow decision cycles, and a need to improve how planning decisions are made and acted upon.

In this session, delivered in partnership with Genpact, supply chain leaders will explore how advanced Artificial Intelligence (AI) applications are being applied in practical, targeted ways to transform S&OP. The discussion will highlight how organizations are moving beyond experimentation, identifying where AI can deliver value today, and laying the operational and data foundations required to scale impact over time. Attendees will gain insights into how targeted AI use cases in S&OP can enable faster, higher quality planning decisions, accelerating planning and decision making by up to 5×, compressing planning cycles from weeks to days or even hours for critical scenarios, and enabling teams to evaluate up to 10× more scenarios per planning cycle without large scale system replacements.

What you will learn

How leading organizations are moving from broad AI mandates to focused, execution-driven use cases in S&OP, improving planning outcomes without attempting large-scale system overhauls upfront.

Key takeaways

• Practical entry points: Discover actionable ways to apply AI within S&OP, focusing on high impact planning activities such as demand forecasting, scenario analysis, and decision support. These targeted applications can significantly reduce reliance on manual, spreadsheet-driven analysis, improving both decision speed and planning quality.
• Operational KPIs: Learn how planning teams are tracking progress through trusted planning metrics such as forecast accuracy and bias, inventory optimization, and planning cycle times. Practical AI applications can deliver measurable improvements across these KPIs, including improvements in forecast accuracy by up to ~20%, reductions in forecast bias by up to ~30%, and improvements in inventory outcomes by up to ~15% through either inventory reduction or service-level uplift. AI can also enhance risk visibility, enabling potential supplier issues, equipment risks, and demand anomalies to be detected weeks earlier rather than days.
• Scalable transformation: Understand what effective progression looks like, from pilots and proof points to more resilient, AI-enabled planning capabilities. Earlier visibility to risks and exceptions can shift S&OP from reactive firefighting to proactive risk management, enabling corrective actions before issues impact service levels or financial performance, and supporting faster, more aligned supply chain decisions.

This session will provide a roadmap for leveraging AI to address today’s S&OP challenges while building the foundation for long-term, scalable transformation.