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Replenit team working on an AI retail decision engine in a modern Warsaw office

Replenit raises €2.1M to build AI decision engine for retail

13 April 2026 Technology No Comments2 Mins Read
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Replenit secures fresh funding to transform retail decisions with AI

Warsaw-based startup Replenit has raised €2.1 million to accelerate the development of its AI decision engine for retailers, aiming to tackle chronic inefficiencies in inventory planning, pricing and promotions. The round is notably backed by ElevenLabs co-founder Piotr Dabkowski, underscoring growing investor confidence in retail-focused AI infrastructure.

AI decision engine for modern retail

Replenit is building a data-driven platform that helps retailers move away from manual spreadsheets and legacy systems toward automated, real-time decision-making. Its AI algorithms ingest sales history, supplier data, seasonality and local demand signals to recommend optimal order quantities, dynamic pricing and targeted promotions.

The company targets grocery chains, convenience stores and omnichannel retailers that struggle with stockouts, overstock and margin pressure. By unifying data and automating repetitive planning tasks, Replenit promises higher on-shelf availability, reduced waste and improved profitability.

Backing from ElevenLabs co-founder and industry investors

The €2.1 million injection will be used to deepen product development, expand the engineering team and accelerate commercial roll-out across Europe. Support from ElevenLabs co-founder Piotr Dabkowski brings not just capital but high-profile validation from one of Europe’s most prominent AI entrepreneurs.

Additional participation from regional VC funds and angel investors with backgrounds in retail and enterprise software is expected to help Replenit refine its go-to-market strategy and integrate with existing ERP and point-of-sale systems.

Riding the wave of data-driven retail

European retailers are under mounting pressure from discounters, e-commerce players and inflation-sensitive consumers. Many are now prioritizing data analytics and automation to protect margins while keeping prices competitive. Replenit positions itself as a modular, cloud-based layer that can sit on top of legacy infrastructure and deliver rapid ROI without full system replacement.

With fresh capital and high-profile backing, Replenit aims to become a core decision engine for retailers seeking to modernize operations and turn fragmented data into precise, real-time actions across their store networks.

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Kyle Kelley
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