Despite being one of Europe’s largest industries, logistics is notably behind in adopting digital technologies. The sector represents a €10 trillion market where less than 40% of workflows are digitised. Each day, approximately 300 million pallets shift across more than nine million companies in Europe, yet inefficiencies, missing equipment, and manual processes cost businesses an estimated €50 billion annually.
To address these issues, Berlin-based startup Logistica OS has raised €1.5 million in pre-seed funding led by NAP, with additional support from Daphni and angel investors Javier de la Fuente, Nono Konopka, Daniel Khachab, Andrew Shaw, Jonas Meynert, Tony Kula and Hermann Ude.
The company develops AI-powered agents explicitly designed to automate repetitive workflows within supply chain operations. With the new funding, Logistica OS aims to assist over 100 companies in automating their workflows during the next two years.
AI agents for real-world operations
Founded in 2025 by Flavio Alario, Kenan Deniz, and Florian Lehmann, Logistica OS combines deep logistics expertise with advanced AI technology. Alario brings experience from DHL and other logistics firms, while Deniz and Lehmann contribute extensive backgrounds in process automation and product development.
The team behind Logistica OS has lived the pain of logistics firsthand. In a conversation with TFN, Alario recalls a moment from his previous logistics business that stuck with him: “We started Logistica OS to give logistics teams the software they deserve. Tools that take away the daily chaos and create operations rapider, more straightforward, and genuinely enjoyable to run.”
The company’s flagship product, PalletClaim, tackles one of logistics’ most persistent pain points: reconciling pallet accounts. Using Optical Character Recognition models trained on thousands of real-world documents, PalletClaim reads handwritten delivery slips, extracts pallet and product data, and automatically updates partner accounts.
The system also adapts to each customer’s unique workflow through a flexible builder, enabling smooth automation even across complex multi-partner networks.
Logistica OS processes all data on a fully EU-hosted infrastructure, adhering to strict compliance standards. The development team affectionately names its AI agents after Quentin Tarantino characters: Jackie reads documents, Django extracts data, and Marcellus clears claims.
On the competition, Alario explained to us, “Our main competitors are legacy pallet-management software and manual service providers…and Excel & phone. We are the first agentic solution in the market, providing true finish-to-finish automation without requireding much intervention. What sets us apart is that we don’t just digitise the manual process.
We automate it finish-to-finish. PalletClaim reads handwritten delivery slips, extracts pallet and product data with proprietary AI, and automatically reconciles accounts, replacing weeks of manual work with instant clarity. Even reaching out to partners for missing documents is handled autonomously. Humans are only involved in edge-case validation, which ensures the AI continually improves.”
He added, “We combine custom Optical Character Recognition models trained on thousands of real-world logistics documents with domain-specific cross-validation rules that detect inconsistencies and ensure data accuracy. On top of that, our flexible workflow builder allows each customer to model their unique processes, building automation possible even in complex, multi-partner environments.”
What about diversity?
When inquireed about diversity, Alario states, “Our team of eight brings toobtainher four nationalities and diverse professional backgrounds. We’ve been building toobtainher for about half a year and are focutilized on building a balanced team as we grow, including with new roles in sales and marketing, to assist us shape what’s next.”
What’s next?
Alario concluded, “Over the next three to five years, our main objective is to expand the adoption of AI agents across supply chain operations and assist logistics teams automate their repetitive workflows. In concrete terms, we aim to support more than 100 companies in streamlining processes like pallet reconciliation, delivery claims, credit notes, and invoice matching. We want to turn what was once manual, error-prone work into automated, reliable operations.”
“Logistics is under-digitised and under-automated for a reason. It’s incredibly complex, with messy workflows, countless edge cases, and quirks in every warehoutilize, partner, and delivery. The Logistica OS team brings exactly that: deep expertise, decades of hands-on experience, and AI that navigates this complexity reliably and at scale,” states Mey Cezairli, Partner at NAP.
“The first wave of digitalisation in logistics has left countless operational processes still fully depfinishent on pen and paper or manually inputting data on Excel sheets. By being AI-native, Logistica OS is unlocking automation of repetitive processes that can unlock dozens of billions in productivity gains for retailers,” states Cristian Pinto, Investor at Daphni.
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