Replenit Raises $2.5M for AI Retail Decision Engine

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Replenit Raises $2.5M for AI Retail Decision Engine

Replenit raises $2.5 million for an AI decision engine that helps retailers turn customer signals into real-time, personalized actions. Backed by ElevenLabs' co-founder, it promises a 10x ROI guarantee.

A Warsaw-based startup called Replenit just raised $2.5 million to build something retailers have been dreaming about: an AI that actually makes smart decisions for each customer in real time. Not just predicting what someone might do, but deciding what to do about it right now. The pre-seed round was co-led by Movens Capital and Vastpoint, with help from Logo Ventures, DigitalOcean Ventures, Finberg, Caucasus Ventures, and angel investor Mati Staniszewski (the co-founder of ElevenLabs). The money will go toward product development, AI research, and hiring. ### What Makes Replenit Different? Most AI tools in retail today focus on efficiency or content generation. They help you write emails or automate workflows. But Replenit's CEO Ilyas Kurklu says that's not enough. "Retailers can no longer rely on prediction alone," Kurklu explains. "They need to understand intent, reason in context, and decide what to do next for each individual customer." Replenit's engine adds a reasoning layer on top of existing data systems. Think of it like a smart assistant that watches every customer interaction and figures out the best next step. It's not just reacting to past behavior - it's interpreting what someone wants right now. ![Visual representation of Replenit Raises $2.5M for AI Retail Decision Engine](https://ppiumdjsoymgaodrkgga.supabase.co/storage/v1/object/public/etsygeeks-blog-images/domainblog-061035f6-d125-4f92-ad4c-8b419baf6ae1-inline-1-1777348989933.webp) ### The Real Problem with Retail AI Here's the thing: retailers have tons of customer data. But most of them can't turn that data into quick, smart decisions. They rely on static rules and broad customer segments. That's why over 50% of shoppers say personalization feels off-target, according to Deloitte. And get this - while 90% of marketers say first-party data is critical, fewer than 30% actually use it effectively across channels (BCG). That's a massive gap. Meanwhile, AI search is already changing how people shop. McKinsey says it'll influence $750 billion in consumer spending by 2028. So retailers need to step up their game fast. ### How It Actually Works Replenit's system is built on something called Theory of Mind. It's a fancy way of saying the AI tries to understand what a customer is thinking and feeling in the moment. Developed with PhD-level AI researchers, the system picks up on behavioral signals - what someone clicks, how long they look at a product, whether they abandon a cart. Then it decides the best action to take right then, not based on what happened last week. Unlike a rules-based engine that just follows if-then logic, Replenit's AI mirrors human thinking more closely. It assesses each customer's needs in real time and picks the most appropriate action at scale. That means genuinely personalized experiences, not just mass marketing dressed up as personalization. ### Real Results from Real Retailers Replenit isn't just theory. It's already working for some big names. - L'Occitane en Provence saw a 235% increase in post-purchase revenue after deploying the engine. - iBOOD, a major European flash-deal retailer, now attributes 6.3% of its total revenue to Replenit-driven decisions. And here's the kicker: every contract comes with a 10x ROI guarantee. If Replenit doesn't deliver, customers can walk away with an exit clause. So far, no one has used it. ### Integration Without Headaches The engine plugs right into existing infrastructure. It works with Databricks, Salesforce, Braze, Bloomreach, and Klaviyo. No need to rip and replace your current systems. ### The Team Behind It Replenit was founded in 2025 by six Turkish entrepreneurs with over 40 years of combined experience in B2B SaaS and martech. They previously helped grow a Turkish MarTech company to $2 billion across 26 countries. So they know what they're doing. ### The Bottom Line Retail is changing fast. Customers expect brands to understand them, not just blast them with generic offers. Replenit's AI decision engine could be the tool that helps retailers bridge the gap between having data and actually using it to drive revenue. As Lukasz Lewandowski from Movens Capital puts it: "Retailers are sitting on tons of customer data, but very few can turn it into real-time decisions that drive revenue. Replenit is building the AI layer that makes that possible."