Replenit

We did not raise $2.5M to make old retail software sound newer. We raised it to build what most of the market still lacks: a system that can decide what should happen next for each customer, in real time, at scale. In Q1, Replenit generated 27.3M decisions, evaluated 8.5M unique customers, and assessed 2.6M products at SKU level. So no, this is not another static platform wrapped in AI language. This is production-level decisioning. While much of the market is still renaming rules, journeys, and segments as AI, we are building the layer that actually reasons across customers, products, and timing. The report shows what that looked like in Q1. #RetailAI #AIDecisioning #RetailTech #Ecommerce

We raised $2.5M because retail does not need more noise. It needs better decisions. Replenit is building the AI decision engine for retail, and we are proud to share that this round was co-led by Movens Capital and vastpoint, with participation from Logo Logo Ventures, Digital Ocean Ventures, Finberg, Caucasus Ventures, and Mati Staniszewski, Co-founder & CEO of ElevenLabs. For years, commerce optimized around collection, orchestration, and scale. But between the data layer and the engagement layer, one critical piece was missing: the ability to reason. To understand signals in context. To decide what should happen next. To act on the right moment for each customer. That is the future we see. And that is what we are building. A big thank you to everyone backing us as we work to define a new standard for retail intelligence.

The best retail stories aren't written in spreadsheets anymore, they’re coded in AI. 🚀 We’ve reached a tipping point where the "old way" of doing commerce is officially obsolete. Today, the leaders who win are the ones who have traded manual guesswork for algorithmic precision. At Replenit, we have the privilege of sitting front-row to this transformation, and it’s time to shine a light on the visionaries driving it. Join us in celebrating our AI Pioneers. These eight leaders are doing more than just using a platform; they are architecting a new era of retail intelligence and turning complex data into a definitive competitive edge. The 2026 Q1 AI Pioneers Nominees ✨ 🏆 Aleksandr Perezhogin (iBOOD.com) 🏆 Seda Urkmez ( L'Occitane Türkiye ) 🏆 Paulina Dakowicz (Glosel) 🏆 Doga iyigun (Mumzworld.com) 🏆 Selçukhan Özkan (ebebek) 🏆 Alejandro Perez (Farmex S.A.) 🏆 Simone Balm (Ovabalance B.V.) To our nominees: thank you for pushing the boundaries of what is possible. You aren't just keeping up with the future of retail, you are the ones building it. We are incredibly proud to be the engine behind your innovation! 🥂🙌

Most retailers still treat AI like a campaign add-on, but not Escentual.com The real shift starts when AI becomes the layer that decides the right next action. We’ve just published our case study with Escentual, the UK premium beauty and fragrance retailer. Together, we moved beyond fixed triggers toward a more intelligent, behavior-driven engagement model delivering double-digit ROI, improving customer interaction quality, and preserving premium brand integrity across AI-timed customer engagement. This is where retail is going: from static campaigns to adaptive decisions. 🔗 Read the full case study, link in the comment

Turns out customers do not give awards for “nice AI slides.” They give them for results. We are proud to share our latest G2 recognition: 16 reports. 20 badges. Including category-leading positions across Retail Intelligence and strong regional recognition in EMEA. For us, this is bigger than a badge roundup. It is a signal that retail is ready for a new operating model, where AI does not just analyze what happened, but helps decide what should happen next. That is the future we believe in. And that is exactly what we are building at Replenit.

What changes when Bloomreach customers add Replenit? Not the channels. Not the execution. Not the ability to reach customers across email, SMS, app, or onsite. What changes is how decisions are made. Instead of relying on static rules and manual journey logic, brands can start making customer-level decisions dynamically, in real time. Replenit helps determine the right moment and action. Bloomreach helps activate it across 17+ native channels. That’s where the partnership creates value: better timing, smarter decisions, and more relevant customer experiences at scale.

AI in retail has a branding problem. Everyone talks about chatbots, copilots, and dashboards. Very few talk about one thing that actually matters: revenue. The next wave of AI in retail will not be about more tools. It will be about decision engines that can reason, decide, and act across customer lifecycle moments in real time. That is the real shift: from automation to reasoning, from prediction to execution, from AI experiments to AI that moves the P&L. 🚀 Retailers that keep treating AI as an add-on will keep getting marginal results. Retailers that embed AI into core operations will unlock speed, precision, efficiency, and growth at a completely different level. We broke this down in the newsletter article, including: how most AI projects fail, what actually works, and why the future of retail belongs to autonomous, revenue-driving AI. 🧠

Tomorrow, we’ll be hosting a conversation on a shift we believe retail and marketing teams can no longer ignore: AI is moving beyond generation and automation into reasoning. For a long time, most marketing systems have been built to execute predefined logic. Segments, flows, calendars, and rules have helped teams scale execution, but they have also defined the limits of what those systems can understand. What is changing now is more fundamental. AI is beginning to reason through purchase behavior itself. Not just generate content or trigger a workflow, but interpret the relationship between a customer, a product, and a moment, then act accordingly. That opens a very different future for retail teams. One where decisioning becomes more adaptive, more individualized, and more commercially relevant than static lifecycle design has ever allowed. In tomorrow’s session, we’ll explore how marketing teams are using AI today, where value is already being created, where expectations are ahead of reality, and why the next frontier may not be more automation, but better reasoning. We’ll also share, for the first time with retailers, our perspective on the reasoning layer we are building and why we believe this category will matter. Tomorrow | 13:00 CET | 12:00 UK If this is a topic you’re thinking about too, we’d be glad to have you join us. 🔗 Registration link in the comment

AI search is the new storefront. Are your products actually ready for it? 🤖🛒 For ChatGPT or Gemini to recommend your products, it needs more than just a title and a price. It needs context who it’s for, when to use it, and what problems it solves. We already help brands solve this by enriching standard catalogs with deep synthetic data. Our decision engine currently uses these generated attributes to build highly accurate cross-sell and substitute relationships for your own storefront. But having smart data internally is only half the battle. 🚀 Today, we are thrilled to announce our next step: Direct LLM Feed Distribution (BETA)! We are bridging the gap between your enriched catalog and the external AI platforms your customers are using. The AI commerce land grab is happening right now. If your feed lacks conversational context, you won't show up when users ask AI for recommendations. We are currently rolling out the ChatGPT/Gemini sync to early testers. Want to get your catalog AI-ready and join the beta?