Pygmalios

Why Retail is the New Search Engine. In the early 2000s, we had Search (Google). In the 2010s, we had Social (Meta). In 2026, we are in the era of Retail Media. The shift is simple but profound: Retailers are no longer just sellers of goods - they are owners of the most valuable data on earth: Real-world purchase behavior. While online ads struggle with privacy changes and "ad-fatigue," the physical store remains the "Last 10 Meters" of the customer journey. At Pygmalios, we aren't just putting screens in stores; we are building the infrastructure for the most high-margin revenue stream in retail history. The Reality: 🥛 Margin on milk: 2-4% 📊 Margin on Retail Media: 70-90% It is time to stop thinking only about selling products and start thinking like a media company. #RetailMedia #FutureOfRetail #Pygmalios #DigitalTransformation

The future of in-store intelligence has arrived. It is context-aware. Your dashboards tell you conversion dropped 8% last Tuesday. They don't tell you why. Pygmalios is built to answer that question. Our AI reasoning engine pulls from 150+ store metrics, cross-references them with weather, competitor activity, and market data, then delivers a morning briefing before you've finished your coffee. Not a chart. An explanation. With sources. Here's what that looks like in practice: An unstaffed checkout during lunch caused 22-minute waits — and cost you an estimated €4,200/week. A competitor's flash sale 500m away shifted 34% of your foot traffic. Saturday's peak hour quietly moved from 14:00 to 11:00 over the past six weeks, but your staffing model didn't notice. Pygmalios noticed. Hall 7, Stand B14 - February 22–26, Messe Düsseldorf. Come see it. Book a meeting: https://lnkd.in/diZa763P #EuroShop2026 #RetailTech #Pygmalios #ai #intelligence

How much of your business day is spent actually building relationships, and how much of it is just 'showrooming' an expensive physical space while your customers wait for a reason to leave?

As we approach the close of 2025, we would like to wish you a Merry Christmas 🎄 and a successful, inspiring New Year 2026. 😊 Thank you to everyone who has been part of our journey in 2025. Your collaboration and trust have made this year meaningful. We look forward to continuing our work together in 2026. 🤝 Wishing you a peaceful holiday season and a strong start to the year ahead. #Pygmalios

👹 Krampus tried to scare us, but inaccurate data scares us much more. In the photo, part of the Pygmalios team stands strong - because nothing is more intimidating than decisions made without reliable insights. Fortunately, that is exactly what we help retailers avoid. 🛒 Miroslav Duda Krampus Pavol Kopernicky Richard Kraus Milan Novota #Pygmalios #retail #instoreanalytics

3 out of 4 customers who walk into your store will leave without buying anything. During the busiest retail season of the year. Milan Novota breaks down why this happens—and what data-driven retailers are doing differently. (Yes, Pygmalios might be part of the answer.) Source: https://lnkd.in/eEaSRNDY

How long would you wait in line at a telco store before walking out? 🕒 Most people say 8–10 minutes — after that, frustration (and churn) sets in. 📉 Up to 25% of customers abandon purchases due to long waits. It’s not just about displays — it’s about time, attention, and care. What we’ve seen? Queue management is emotional. 🫂 It shapes trust, first impressions, and store results. With real-time customer flow insights, telco managers can: – Reduce peak-time stress for both staff and customers – Create smoother, more personalized in-store journeys 👨💻 And the tech to do this? It already exists. Curious how others are using it? Let’s talk. #queuemanagement #instoreanalytics #retailinnovation #customerexperience #Pygmalios

Ever wonder how many sales walk out the door before your staff even says hello? 📉 Up to 70% of customers say they’ve left a store because they couldn’t find what they needed or waited too long for service. Frustrated shoppers don’t come back. Loyal ones do. At Pygmalios, we help retailers transform customer movement data into smarter decisions—and real revenue. ➡️ Swipe through to see how retailers benefiting from our smart in-store analytics. Want to learn more? Let’s talk. #instoreanalytics #retailinnovation #customerexperience #AIinretail #Pygmalios

For all retailers following the AI space, it's quite obvious that we’re moving beyond AI that gives you suggestions. The next frontier is agentic AI and it's poised to fundamentally change how we BUY and SELL. This isn't just about smarter chatbots. This is about autonomous AI agents that can, on your behalf: 🔎 Find the best price for a product and purchase it automatically. 💳 Manage subscriptions and execute payments without your direct input. 🛒 Handle entire shopping tasks based on your goals and preferences. Major players like Visa and PayPal are already building the infrastructure for this new "agentic age" of commerce. They're developing the toolkits and payment rails that will allow AI agents to transact securely and autonomously. This represents a shift as significant as the move from physical stores to e-commerce. It promises ultimate convenience but also raises critical questions about trust, security, and identity. Are we ready to hand our wallets over to AI agents? The transition has already begun. What are your thoughts on the biggest opportunities - and risks - of agentic AI in commerce? #AI #AgenticAI #Fintech #FutureOfRetail #DigitalTransformation #Payments #Ecommerce

💥 Your Store Knows Why Shoppers Leave. Now You Can Know Instantly. 💥 You’ve invested in data. You’ve got dashboards. You’ve got BI teams. But here’s the problem: Your data doesn’t speak retail. Your team doesn’t speak SQL. And your insights? Delayed or lost in translation. 💡 Enter: Pygmalios in-store AI (LLM-powered analytics) We connected in-store analytics with large language models. Now anyone—from store manager to merchandiser—can ask: → “Why is aisle 4 underperforming?” → “What products get browsed together but not bought?” → “Which stores convert best—and why?” ⚡️ Instant answers. No dashboards. No consultants. No friction. This is what real-time retail intelligence looks like. ✅ Validate hunches in 30 seconds ✅ Cut the analytics backlog ✅ Unlock org-wide data literacy 💸 While your competitors wait for last month's report, you’re acting on this afternoon’s traffic. First question’s free: 👉 “What one change would boost our conversion rate the most?” Let’s ask your store. Contact us if interested: info@pygmalios.com