New RGM Academy course: Promotional Effectiveness 👉 Out Now
Free Webinar
AI is on every RGM agenda. Organizations are at very different points with it, and often at different points internally: a data science team that has run machine learning models for years, a commercial team that started last quarter. The open questions are the same everywhere. What AI does better than the methods it replaces, what it demands in return, and what happens when its output reaches the people who have to act on it.
This panel puts those questions to pricing and revenue growth leaders from global consumer goods companies. Where the gap sits between what AI can technically enable and what an organization is operationally ready to implement. Which revenue decisions it already handles better than elasticity models and rules-based approaches, and which it does not. What it takes for teams to adopt it and for leadership to trust it on high-stakes calls. What breaks first when it scales across markets.
What you'll take away:
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Arnav Sawhny
Director Strategic Pricing, Cargill |
Arnav brings nearly six years of pricing leadership at Cargill, where he currently serves as Director of Strategic Pricing for Cargill Food, driving pricing maturity and operating model design across the Food Solutions & Protein business. He previously held strategy roles at ECCO Shoes and Monitor Deloitte. Arnav holds a B.S. in Electrical Engineering from Purdue University and an MBA from Cornell University's SC Johnson Graduate School of Management.
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Stratos Charitos
Head of Revenue Growth, Insights and Forecasting for BeNeLux at Imperial Brands |
Stratos Charitos is Head of Revenue Growth, Insights and Forecasting for BeNeLux at Imperial Brands, where he has spent over six years leading market forecasting, consumer insights, and business cases for new product launches across the region. He works closely with leadership to balance profitability against investment choices in different markets and segments, and leads the BeNeLux team on turning consumer trends into pricing, availability, and product decisions.