What if the key to unlocking your business potential lies in viewing every challenge as a yield problem?

In this episode, Alan Flohr from R4 Technologies joins Meir Heimowitz to unpack the revolutionary approach to cross-enterprise AI and yield optimization.

You'll learn:

💡 How R4 applies yield optimization techniques from Priceline to various industries

🤖 The importance of treating business challenges as yield problems

📈 The impact of data silos on enterprise efficiency and how to overcome them

🎯 Why using imperfect data can lead to better predictive modeling

🚀 Strategies for gaining executive access in a crowded AI market

Whether you’re a B2B founder or a decision-maker in enterprise AI, this episode reveals how to leverage existing systems for maximum growth and efficiency.

⏱️ Timestamps

00:00 Intro — Who is Alan Flohr?

00:29 The origin story of R4 Technologies

01:45 What makes R4 stand out in the AI landscape

03:05 The challenge of AI adoption and data silos

05:02 How R4XCM framework drives measurable results

08:35 Marketing strategies for client acquisition

10:52 Overcoming exposure challenges in a crowded market

12:23 Alan's magic wand wish for client engagement

🔗 Connect with Alan Flohr

💼 LinkedIn – Find Alan Flohr on LinkedIn

🎙️ Hosted by Meir Heimowitz

The RevGenAI Podcast — conversations with founders and creators using AI, systems, and smart strategy to scale what matters most.

📩 Contact: [email protected]