Replenit raises $2.5M in funding to help retailers make real-time AI decisions that drive revenue

Retailers have spent years collecting customer data. Turning that data into action remains a stubborn problem. Many brands still rely on static rules and broad segments that miss the moment when a customer is actually ready to buy.

An AI startup out of Warsaw thinks it has a better answer.

Replenit has raised $2.5 million in a pre-seed round co-led by Movens Capital and Vastpoint, with participation from Logo Ventures, DigitalOcean Ventures, Finberg, and Caucasus Ventures. The round includes backing from Mati Staniszewski, co-founder and CEO of ElevenLabs. The company is building what it calls an AI decision engine for retail—software that doesn’t just analyze behavior, but decides what to do next for each customer in real time.

The pitch lands at a moment when retail teams are flooded with signals but still struggle to act on them. Surveys show that many consumers find personalization off-target, even as companies invest heavily in first-party data. At the same time, AI-driven shopping and discovery are reshaping how people browse and buy, raising the stakes for timing and relevance.

Replenit’s approach centers on a reasoning layer inspired by Theory of Mind, aimed at interpreting intent rather than reacting to past actions. Instead of triggering campaigns based on fixed rules, the system evaluates what a customer is likely trying to do in that moment and selects the next step. That could mean prompting a reorder, adjusting an offer, or changing the message entirely.

“Retailers can no longer rely on prediction alone. They need to understand intent, reason in context, and decide what to do next for each individual customer. Most AI tools today focus on efficiency or content generation, but the real challenge is decision-making. Replenit improves the quality of every commercial decision, helping retailers move from static rules to real-time, AI-driven actions that directly drive revenue. Our vision is to define a new standard for retail intelligence,” said Ilyas Kurklu, co-founder and CEO of Replenit.

The company says it has already signed more than 30 enterprise retailers, including L’Occitane en Provence. In one case, the brand saw a 235% increase in post-purchase revenue after deploying the system. Another customer, flash-deal platform iBOOD, attributes 6.3% of total company revenue to decisions driven by Replenit.

What stands out is how the product fits into existing retail stacks. The system plugs into tools such as Databricks, Salesforce, Braze, Bloomreach, and Klaviyo, adding a decision layer on top of the data and marketing infrastructure. The company claims customers can drive higher revenue without increasing campaign volume, a pitch that speaks directly to teams already stretched thin.

There’s confidence behind those claims. Every contract comes with a 10× ROI guarantee and an exit clause if results fall short. So far, the company says no customer has used 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 closes that gap, helping brands act at the exact moment a customer is ready to buy again. With a team that has already scaled global martech platforms and early proof with major retailers, we believe Replenit has the potential to define a new category in retail infrastructure,” said Lukasz Lewandowski, Investment Director at Movens Capital.

Replenit’s founding team brings experience in scaling a martech company to unicorn status, with operations now spanning 26 countries. The company is headquartered in Warsaw, with additional engineering work based in the Netherlands. That geographic mix reflects a broader shift as more international founders choose Poland as a base for building in Europe.

The new funding will go toward product development, AI research, and the expansion of engineering teams across Poland and the Netherlands. The company is setting its sights on the U.S. market next, with plans to establish a local presence before the end of 2026.

For retailers, the promise is simple: stop reacting to yesterday’s data and start acting in the moment. If Replenit can deliver that at scale, it could change how brands think about personalization—and how much revenue they leave on the table.