The latest Gen4I Summit in Athens made one thing clear: AI is reshaping businesses right now! Here are the top insights driving the new AI reality: 1️⃣ AI is Everywhere Use cases are growing fast across operations, customer experience, product, and strategy. 2️⃣ Proof Over Promises Real deployments now lead the way. They deliver clear, measurable wins. 3️⃣ AI Must Impact the P&L The question has shifted from “Can AI do this?” to “Does AI improve revenue, margin, or speed?” 4

Price cuts don’t fail by chance — they fail by math. Here’s the checkpoint almost everyone forgets. 😯 Two checkpoints In a previous post (Part 1), we looked at the first checkpoint: ➡️ Required volume growth: 15%+ is challenging, 25%+ extremely hard  But there is also a second checkpoint: ➡️ Price elasticity A simple guide 🟩 Low elasticity (1.0–1.5) Buyers care less about price Stronger differentiation e.g., branded clothing, specialty coffee, toiletries 🟨 Medium elastic

Price cuts are easy to implement and welcomed by customers, but rarely deliver the results we expect. In a previous post , we examined why price cuts typically fail to generate the required revenue growth. Now, let’s extend the same logic to profit  — and here’s where things become even more challenging. When it comes to profit, one additional parameter changes the entire story: 👉 Your current margin. How Margin Shapes profit growth when discounting A single formula links m

Most people think yes — reality says otherwise 👇 Many teams believe they need perfect data before using AI in pricing (or anywhere else). More data helps — but waiting for perfection delays results. You can start now and still create impact. Here’s where AI fails due to data — and where it shines. 👇 ❌ Areas where AI is unlikely to work ➡️ Limited accessibility:  Data is scattered across systems (ERP, CRM, etc.) with restricted or no access to key information. ➡️ Corrupted d

Most discounts demand scary volume jumps. Read on to see what to check before you enter the discount zone👇 Discounting strains margins and cash flow 💸 And “cut price = sell more” is often weaker than it looks. Why? It’s just math. 🧮 One formula links revenue, price, and volume changes: r = p + q + p*q (r,p,q: % change of revenue, price, quantity) You can use this formula to estimate the real volume uplift needed to hit revenue targets at a given discount. In most cases, yo

Too many companies rush to “plug in” AI — and end up optimizing for the wrong goals. ✔️ Yes, there are great examples — Amazon, Uber, and airlines that master dynamic pricing daily. ❌ But there are painful lessons — from Wendy’s surge-pricing flop to the Oasis concert ticket fiasco in the UK. So… how do you make sure your AI pricing initiative lands on the success side of history? Based on experience, check these boxes before you launch 👇 1️⃣ Clarity Define what success mea

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Back in the 90s, my MBA Marketing professor at Imperial College used to repeat this line: "Any fool can cut the price!" Decades later,...

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Here are the key trends that will reshape the industry Today, less than 20% of companies use AI in Pricing. 😲 That number will rise...

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The AI  era isn’t just changing products. It’s changing how we monetize them. 💰 According to BCG , B2B SaaS pricing is shifting fast:...

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Forecasting the Future of Everything! FutureUP's Founder & CEO, George Boretos , hosts the latest episode of the prestigious Forecasting Impact ( #1 podcast in Predictive Analytics ), a monthly podcast by the International Institute of Forecasters about Forecasting and AI! In this episode, we speak with Dr. Theodore Modis , acclaimed forecasting expert, strategist, and founder of Growth Dynamics , about the science behind forecasting and the natural laws that govern technolo

🚀 Raise Prices - Keep Customers - Win Bigger! 💡 Most companies undercharge. This book shows how to fix that. "Instant Profits: How to...