What Every Pricing Leader Needs to Know Before Investing in AI
March 26, 2026 | 12:00 – 1:00 PM EST | Live Webinar (Zoom)
Presenters
Armin Kakas • Enrico Sieni • Rudy Agovic, PhD
Prepared by Revology Analytics®
March 2026
Revology Analytics’ 2025 Revenue Growth Analytics (RGA) Maturity Scorecard—based on a global survey of 158 commercial leaders—reveals a stark disconnect between AI enthusiasm and AI maturity. Among organizations that have adopted AI, 42% use it only for basic task automation and 28% for GenAI content creation, while just 6% leverage AI for advanced data-driven pricing and revenue insights. The “Very High” maturity tier has actually shrunk from 7% of organizations in 2023 to under 2% in 2025, even as AI investment has surged. Half of all organizations remain stuck at “Medium” maturity, roughly 75% still rely on cost-plus pricing, and 61% manage discounting entirely by hand.
These findings mirror what major research firms are reporting at a macro level. McKinsey’s latest data shows 88% of organizations now use AI, yet 80% have seen no tangible EBIT impact. MIT’s 2025 research found that 95% of enterprise GenAI pilots fail to deliver P&L impact, and 42% of companies scrapped their AI initiatives in 2025—up from just 17% in 2024. The pattern is clear: organizations are buying AI tools without building the pricing strategy, data infrastructure, and organizational readiness to make them work.
Yet the companies that get these fundamentals right are seeing transformative results. Dynamic pricing algorithms are driving up to 16% revenue growth. AI-powered promotion optimization has delivered 80% lifts in targeted sales. And Revology’s own analysis of ~2,000 public companies confirms that a 1% price improvement translates to a 6.4% median operating profit gain—with some industries seeing 9–17% impact.
Join Armin Kakas (Revology Analytics), Enrico Sieni (Revify Analytics), and Rudy Agovic, PhD (Revology Partner and AI Expert) for a candid, practitioner-led conversation grounded in proprietary benchmarking data and real-world implementation experience. We’ll cut through the vendor noise with specific ROI benchmarks, the prerequisites most organizations overlook, and a clear-eyed view of where AI actually moves the needle in pricing.
What you’ll learn:
- The real state of AI in pricing — proprietary data from Revology’s 2025 RGA Maturity Scorecard showing where 158 companies actually stand on AI adoption, pricing sophistication, and analytics readiness
- Where AI delivers real pricing ROI today — dynamic pricing, promotion optimization, price elasticity, competitive intelligence, anomaly detection, deal scoring, markdown optimization, and CPQ intelligence
- Why most AI pricing initiatives fail — the data quality gaps ($12.9M annual cost of poor data), black-box trust deficit, and the reality that 51% of companies lack even a price waterfall
- The organizational prerequisites that matter most — executive championship drives 16–24 point maturity gains; self-serve BI tools correlate with 20-point higher analytics scores; and only 23% of companies link pricing KPIs to compensation
- A practical evaluation framework for assessing AI pricing investments before you sign that next vendor contract
- Emerging trends to watch — causal AI for what-if pricing scenarios, reinforcement learning (6% seat revenue gains at airBaltic), agentic AI, and generative AI for deal intelligence
- Real case examples with specific results — from UPS (22-point win-rate improvement) to Oracle CPQ (self-serve quotes from 2% to 79%)
This isn’t a vendor pitch. It’s a data-rich, strategic conversation—grounded in Revology’s proprietary benchmarking of 158 companies—designed for pricing leaders, revenue management professionals, and executives who want to invest wisely in AI-enabled pricing capabilities.
About the Presenters:
Armin Kakas — Founder & CEO, Revology Analytics. Pricing strategy and analytics leader with 15+ years of experience across CPG, industrial, and technology sectors.
Enrico Sieni — Co-Founder, Revify Analytics. Former VP of Pricing & Analytics at MSC Industrial Direct, Global VP at Berry Global, and GE-certified Black Belt. Brings deep operational pricing experience to the AI discussion.
Rudy Agovic, PhD — AI/ML Expert and Co-founder of Reliancy. PhD in Computer Science from the University of Minnesota, MBA from UVA Darden. Named a “Key Opinion Leader” in AI for business applications.
Duration: 50 minutes + 10-minute live Q&A
Cost: Complimentary
