Future-proofing RGM with AI

Overview: Future-proofing RGM with AI > Module 02: Choosing the Right Type of AI for RGM

Choosing the Right Type of GenAI for RGM

Unpack the four interconnected layers of GenAI: data preparation, predictive modeling, offer optimization, and decision-making interfaces. Explore the role each layer plays, when to use it, and how combining them enables faster, more confident, and more strategic decisions.

Not all AI is created equal, and not all of it delivers strategic value for RGM. The right AI approach isn’t just about efficiency; it’s about enabling scenario testing, anticipating competitive moves, and market conditions to make confident decisions at speed. Choosing the wrong AI type risks wasting investment and missing revenue. 

In this module, Dr. Ingo Reinhardt, Co-Founder and Managing Director of Buynomics, draws on over a decade of pricing and RGM experience to unpack the actual capabilities of GenAI, how they work, and why simulation-based approaches are uniquely positioned to transform decision-making in RGM.

• Generative AI can process vast, complex datasets and uncover patterns far beyond the reach of traditional statistical tools.
• Legacy methods alone, like linear regression and price elasticity tables, are too limited to capture today’s market complexity.
• Simulation-based, integrated AI approaches scale with data growth, enabling more precise, forward-looking RGM decisions.
• There are four layers when using GenAI in RGM: 

In the next module, we’ll explore how to integrate AI into your RGM tech stack and decision processes in a way that builds trust, avoids common pitfalls, and ensures long-term adoption.

Overview: Future-proofing RGM with AI > Module 03: Integrating AI into Your Tech Stack

How to Integrate AI into Your Tech Stack

Discover a six-step process for making AI integration successful. From building a strong business case to democratizing insights, you’ll see how leading organizations avoid common pitfalls and turn AI adoption into lasting impact.

Haja Deen, CIO, CTO, and Strategic Business Growth Advisor (ex-pladis), introduces his LEADERS Framework, guiding RGM leaders to truly integrate AI into their organization.

Successful integration is the difference between just experimenting with AI and actually transforming how your organization makes decisions.

This module breaks integration into clear steps: starting with your organization’s pain points, earning RGM stakeholder trust, aligning functions, and capturing early wins that prove value. You’ll learn how to proactively mitigate risks, appoint change champions, and democratize AI-driven insights to inform everyday decision-making.

When done right, integration future-proofs your RGM function, ensuring AI is not just introduced and left on the shelf, but fully embedded into how strategy and operations are run.

• Bridge high-level financial goals with day-to-day execution using an AI-powered RGM strategy
• Integration is not a one-off project or tool, but embedding AI into planning, decision-making, and execution.
• Without a deliberate change management strategy, even the most powerful AI tool will fail to deliver value
• Six steps to success
  • Build a strong business case
  • Gain trust
  • Align stakeholders
  • Capture early wins
  • Mitigate risks
  • Democratize insights.
• Avoid wasted investment: AI delivers lasting value only when trusted and used across all commercial functions.
• Introduction to the LEADERS Framework with Haja Deen

In the next module, we’ll move from integration to strategy. Discover how to embed AI into multi-year RGM planning cycles, define the metrics that matter, and ensure your organization tracks long-term success with confidence.

How to Develop and Lead Multi-Year RGM Strategies with AI

Bridge high-level financial goals with your day-to-day execution using an RGM strategy powered by AI. Discover how to build a 3-to-5-year vision for sustainable, profitable growth, embed AI-driven insights into strategic planning cycles, align all RGM levers, and define the metrics that track measurable business impact over time with a four-phase framework from Ivan Tretyakov, Innovations Director at Buynomics.

Expert Insights: Embedding RGM into Wider Business Planning

Colin McQuay, Sr. Director & Head of Strategic Revenue Management at Nestlé, shares how Nestlé integrates RGM into its broader business planning processes, an essential consideration when developing multi-year strategies. He also outlines the key KPIs they use to measure impact and align cross-functional teams around RGM goals.

Short-term fixes don’t scale in today’s volatile market. A true multi-year RGM strategy requires moving beyond reactive annual planning to embedding AI into your long-term roadmap,  bridging high-level financial goals with day-to-day execution across markets, categories, and teams.

In this module, Ivan Tretyakov, Innovations Director at Buynomics (formerly of Danone), introduces a four-phase framework for developing and executing multi-year RGM strategies rooted in AI and designed to extend beyond the Annual Operating Plan (AOP).

You’ll also hear from Nestlé’s Colin McQuay on how to embed RGM into broader business planning and which KPIs drive alignment and long-term impact. 

You’ll see how you can analyze your current data status, combine AI-powered diagnostics and simulations, and launch predictive analytics to design a 3-to-5-year vision that allows sustainable, profitable growth.

• An AI-powered RGM strategy bridges high-level financial goals with day-to-day execution
• Multi-year RGM planning requires embedding AI into strategy, not just operations
• AI shifts planning from descriptive hindsight to predictive and prescriptive foresight
• Begin with a clear-eyed view of your current data and capabilities
• Use a balanced set of KPIs to track financial and operational progress
• Embedding RGM into the wider business process is essential for success
• Set bold, measurable goals, but prioritize based on impact and feasibility
• Four-phase framework: 
  • Assess & Diagnose
  • Design & Simulate
  • Activate & Execute
  • Measure & Refine

In the next module, we’ll focus on sustaining change after implementation, ensuring your AI adoption doesn’t fade after initial wins, but continues to scale and deliver lasting transformation.