In this episode of The Margin, MGI Research Managing Director Andrew Dailey speaks with Dr. Michael Wu, Chief AI Strategist at PROS, to examine how artificial intelligence is transforming pricing, revenue optimization, and commercial decision-making. Drawing on decades of experience applying AI to airline revenue management and enterprise pricing, Wu explains why pricing has become one of the fastest and most powerful levers organizations can use to improve profitability in increasingly volatile markets.
Using the airline industry’s decades-long experience with real-time pricing as a blueprint, Wu discusses how organizations can move beyond static pricing models toward AI-driven decision making powered by data, automation, and continuous market sensing. The conversation explores the importance of explainable AI, the organizational challenges of trusting machine-generated recommendations, the role of data as the foundation for pricing intelligence, and why successful AI initiatives begin by solving customer problems rather than simply adopting new technology. The discussion concludes with practical guidance for CFOs and commercial leaders seeking to modernize pricing, accelerate quoting, and build AI capabilities that create measurable business value.
Key Analytical Takeaways
- Pricing as a Strategic Growth Lever: Why pricing represents one of the fastest and highest-impact mechanisms for improving revenue and profitability, often delivering greater financial returns than comparable improvements in cost reduction or operational efficiency.
- From Static to Dynamic Pricing: How increasingly volatile markets require organizations to continuously adapt prices using AI-driven demand sensing, forecasting, and optimization rather than relying on traditional periodic pricing reviews.
- Building Trust in AI Decision-Making: Why explainability, transparency, and disciplined change management are essential for organizations adopting AI-powered pricing systems, enabling business leaders to confidently act on machine-generated recommendations.
- Data as the Foundation of Commercial Intelligence: How successful pricing optimization depends on high-quality operational, transactional, and external market data that enables AI to model demand, customer behavior, and willingness to pay.
- Applying AI to Business Problems, Not Technology Trends: Why organizations achieve the greatest value from artificial intelligence when they focus first on solving customer and business challenges, using AI selectively where it demonstrably improves commercial outcomes rather than treating it as a universal solution.
Featured Experts
Andrew Dailey | Managing Director, MGI Research
Andrew Dailey is a co-founder and managing partner of MGI Research. Andrew brings his 25+ years of diversified technology and financial services experience working in the enterprise software market and Fortune 500 firms to his clients.
Dr. Michael Wu | Chief AI Strategist, PROS
Dr. Michael Wu is Chief AI Strategist at PROS and an expert in artificial intelligence, pricing science, and revenue optimization. His work spans machine learning, demand forecasting, explainable AI, and dynamic pricing, helping global organizations apply AI to improve commercial decision-making, customer value, and financial performance across complex industries.
