daphni’s Post

We’re excited to see Albatross AI announce a strategic partnership with Wallapop, bringing adaptive, in-session AI discovery to one of Europe’s leading C2C marketplaces 🙌 Wallapop becomes one of the first consumer-to-consumer platforms globally to move beyond static, history-based recommendations toward real-time perception - technology that understands user intent as it unfolds. What does that mean in practice? If a user starts browsing a second-hand sofa and then shifts to rugs and floor lamps, discovery adapts instantly - understanding the move from evaluating one item to furnishing a space. Instead of showing more sofas, the system surfaces complementary, style-matched listings across categories, including items the user didn’t explicitly search for. 🛋️ 🪑 🖼️ This is the shift from AI that predicts based on the past… to AI that understands the present. The numbers in early production have been outstanding: • +118.9% increase in user engagement • +104.8% increase in favourites & interactions • +46.9% increase in purchase intentions Read more on the partnership via Forbes: https://lnkd.in/eXey3s5S We backed the Albatross team because we believe personalisation has seen surprisingly little true innovation over the last decade. Generative AI transformed content creation. Real-time perception is transforming how content is discovered. This partnership with Wallapop is one of the earliest large-scale commercial deployments of adaptive AI discovery in recommerce - and a powerful validation of that vision. If you’re interested in why we backed Kevin Kahn and the Albatross team, and why we believe discovery is the next frontier of AI, read more here: 🔗 https://lnkd.in/eiGM_yqX 🔗https://lnkd.in/ejaxxNuX #AI #AIdiscovery #FutureofRetail

AI is the ultimate co-pilot for marketplace sellers in digital commerce. While much discussion focuses on how AI assists buyers, the real magic occurs on the seller side. In the next generation of marketplaces, AI will: Help sellers optimize listings in real time Predict demand before peak seasons hit Automate customer service without losing the human touch Identify gaps in the market they didn't know existed Automate delivery and procurement Sellers who embrace AI won't just survive, they'll dominate. The platforms that equip them with these tools will become indispensable. At Kuve, we're exploring how to put AI directly into the hands of creators and merchants, not just the platforms they sell on. If you’re building, selling, or thinking about the future of AI-driven commerce in Africa, please follow the journey and join the conversation. #CreatorEconomy #AIPowered #MarketplaceTrends #Kuve #DigitalCommerce

the next frontier of AI? it’s perception 🔍 Our portfolio company Albatross AI has signed a strategic partnership with Wallapop, one of Europe’s leading C2C marketplaces, to power real-time, in-session AI discovery across its platform. If a buyer shifts from browsing sofas to furnishing a living room, discovery adapts instantly. New categories. New context. New “hidden gem” listings. Early production results: +118.9% user engagement +104.8% favorites & interactions +46.9% purchase intentions redalpine led Albatross’ €3M formation round in 2024, backing Kevin Kahn, Matteo Ruffini and Johan Boissard to build a next-generation discovery layer for marketplaces and eCommerce. What makes this milestone particularly exciting is the environment: high listing velocity, millions of unique items, constantly shifting supply. A real stress test for adaptive AI. Congratulations to Kevin Kahn and the entire Albatross AI team on this major step - and to Dr. Oliver Pabst and Marc Moesser for supporting the journey from day one. Read on in Forbes about why AI perception, not just generation, could define the next frontier of intelligent systems - link in the comments.

A compelling example of how AI is moving beyond generation toward real-time understanding. 🔍🤖 The partnership between Albatross AI and Wallapop shows what adaptive, perception-driven AI can unlock in complex, high-velocity marketplaces, with engagement and intent metrics that speak for themselves. Strong validation of the vision backed by redalpine, and congrats to Kevin Kahn, Matteo Ruffini, Johan Boissard, as well as Dr. Oliver Pabst and Marc Moesser, for pushing discovery into a new, more contextual era. A milestone worth watching closely. #AIInnovation #Marketplaces #AppliedAI

Good old channel strategy. Online, offline, social and now with newcomer AI. Lot of the companies I speak with are defining their AI strategy. They focus on internal processes and tools to build more automation and efficiency. Which is absolutely great, as AI will delivered the bigger transformation on the operational side. The other question brands and retailers should be asking, is what is our channel strategy with AI? There’s a sense that something big is happening — but it’s still unclear what the end state really looks like. My bet: over time, AI will become something much more familiar. Just another sales channel. Today, brands already balance multiple channels: • Online store • Retail • Marketplaces • Social commerce • Wholesale Each channel plays a different role. They have different economics, customer behaviors, and levels of control over the customer relationship. AI will likely evolve in the same direction. Right now it feels like a technology shift. But as it matures, it will increasingly function as a customer interface and buying channel — through AI assistants, conversational commerce, autonomous purchasing agents, and AI-powered discovery. And like any other channel, its importance will vary. For some customer segments, AI-driven purchasing might become very natural and important. For others, it might remain a secondary way to discover or buy products. What’s unlikely is that AI suddenly becomes your only sales channel and replaces your online store, retail, or marketplaces entirely. Much more likely: it becomes one more channel in the mix. #ecommerce #commerce #ai

🚨 Traditional E-commerce is DEAD. By 2026, your customers aren't humans "clicking" through pages anymore : they are autonomous AI agents deciding and buying for them. Welcome to the era of Agentic Commerce! To survive, your digital strategy must pivot around 3 core pillars (detailed in the carousel): 1️⃣ GEO (Generative Engine Optimization): If AI can't read your Data Layer, you simply don't exist. 2️⃣ Transactional Reliability: One stock or price error, and the AI agent delists you instantly. 3️⃣ M2M Buying: The sales funnel vanishes, replaced by a seamless machine-to-machine execution loop. 💡 The new KPI? Forget clicks, aim for the Selection Rate. Is your database ready for the agent economy? Want to see it in action? Comment "AGENTIC" to get a personalized demo based on your own data! 🚀 #Ecommerce #AgenticCommerce #AI #DataLayer #Retail2026

𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 𝐭𝐢𝐦𝐞: 𝐈𝐧 2026, 𝐀𝐈 𝐰𝐢𝐥𝐥 𝐝𝐢𝐬𝐫𝐮𝐩𝐭 𝐬𝐡𝐨𝐩𝐩𝐢𝐧𝐠 𝐥𝐢𝐤𝐞 𝐧𝐨𝐭𝐡𝐢𝐧𝐠 𝐛𝐞𝐟𝐨𝐫𝐞. My favorite consulting company (McKinsey & Company) estimates that by 2028, $750B in consumer spend will flow through AI assistants. That’s more than Amazon and Shopify combined today. It took e-commerce 20 years to reach that scale. AI will do it in three. The problem isn’t demand. It’s product truth: most product details aren’t reliably accessible to AI, and brands are losing control of how products get described and recommended. At info.link, we’ve spent years digitising, standardising, and making product data compliant. Now we’ve taken those learnings to build the semantic data layer that drives AI-assisted sales for brands, with traceable, brand-verified sourcing: Today, we’re officially launching 𝐕𝐞𝐫𝐢𝐟𝐢𝐞𝐝𝐀𝐧𝐬𝐰𝐞𝐫𝐬.𝐚𝐢 to make GTIN-level product details visible to AI – accurately, consistently, and fully auditable. To celebrate the launch, we’re releasing our "10-𝐏𝐨𝐢𝐧𝐭 𝐏𝐞𝐫𝐟𝐞𝐜𝐭 𝐏𝐫𝐨𝐝𝐮𝐜𝐭-𝐅𝐀𝐐 𝐏𝐥𝐚𝐲𝐛𝐨𝐨𝐤." It’s the definitive guide for brands to take control of how their products are explained by AI. Inside, you’ll discover: ✅ Why next-generation FAQs (not just PDPs) are your #1 lever for AI visibility. ✅ The 2026 best practices that AI search & chatbots actually reward. ✅ A technical checklist to see if your product data is "AI-ready" Want the playbook for free? 👇 Comment "Verified" below and I’ll DM it to you :)

𝗠𝗼𝘀𝘁 𝗣𝗠𝘀 𝗮𝗿𝗲 𝘀𝘁𝗶𝗹𝗹 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗶𝗻𝗴 𝘁𝗵𝗲 𝘄𝗿𝗼𝗻𝗴 𝗹𝗮𝘆𝗲𝗿. I’ve been having a lot of conversations with marketplace leaders lately, so for the next few weeks I’m going to focus more on PM work in marketplaces and recommerce. Here’s what’s becoming obvious: AI is compressing the value of interface work. • Copy gets generated • Flows get optimized • Personalization gets automated The surface layer is getting cheaper. Which means the leverage is moving underneath it. In marketplaces, that shift is brutally clear. You can ship a beautiful “Sell Your Item” flow. But if inventory: • waits 3 days for intake • waits 2 days for grading • hits manual review 18% of the time • sits in a pricing queue you didn’t build a product advantage. You built latency. And in a marketplace, latency is capital decay. This is the shift AI is forcing: AI → Product → Ops. Not AI as a feature. AI as a decision engine. Elite PMs are no longer asking: “How do we increase conversion 2%?” They’re asking: • Where does inventory stall? • Where does human judgment inflate cost? • Where do policies create artificial friction? • Where does time accumulate invisibly? Because the real product in a marketplace isn’t the screen. It’s the loop: Acquire → Process → List → Sell → Return → Reprocess. If that loop doesn’t tighten, nothing else matters. 𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆: AI is devaluing feature polish. It’s increasing the value of operational architecture. 𝗖𝘂𝗿𝗶𝗼𝘂𝘀: If your UI improved 20% tomorrow, what bottleneck would still cap growth? 𝗔𝘁 𝗗𝗣𝗗, we work with product and ops leaders to turn AI into operational leverage, not slide-ware. Especially in marketplaces and recommerce, where the real advantage lives in the system underneath the screen. 𝘾𝙖𝙧𝙚 𝙩𝙤 𝙙𝙞𝙜 𝙙𝙚𝙚𝙥𝙚𝙧? Grab time on my calendar: 👉 https://lnkd.in/eDUJgvHr or simply DM me. 𝘕𝘰 𝘱𝘪𝘵𝘤𝘩, 𝘫𝘶𝘴𝘵 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘵𝘢𝘭𝘬. #AI #ProductManagement #Operations #MarketplaceEconomics #Recommerce #DigitalProductDiscipline

Salesforce just acquired Cimulate AI and it's a clear bet on the future of retail AI. The startup brings intent-aware, agentic commerce technology that goes far beyond traditional search. Integrated into Agentforce Commerce, it means shoppers get experiences that actually understand what they're looking for not just what they typed. Keyword search is a relic. Conversational, contextual discovery is the new standard. Retailers paying attention? #Salesforce #Cimulate #RetailAI #AgenticCommerce #Ecommerce #Cloudsheer

In AI- mediated commerce you only succeed by designing for selection. Every post in this series points to the same truth that the game is changing: * the front door of commerce is disappearing * customer journeys are collapsing into delegated tasks * ads are signals, not interruptions * 1PD is required infrastructure The implication is simple: brands that treat AI as a bolt-on feature will lose. Leaders need to wrestle with hard questions: * Which parts of the customer journey do we own — and which do AI layers control? * How do we structure 1PD so the AI sees and values it? * Which experiences, offers and signals make us selected, not just visible? * How do fees, take-rates and AI-mediated commerce economics reshape margins? The winners will be the brands that re-architect their systems for AI-first commerce: * data structured for selection * experience designed for AI interpretation * commerce infrastructure integrated with agentic AI and protocols Because in AI-mediated retail you win by being selected — consistently, credibly and by design.