Logistica OS has picked up €1.5 million in fresh funding to fix one of Europe’s biggest and most expensive problems. Logistics is a €10 trillion industry, yet most of its daily work still relies on pen, paper, and manual processes. Less than 40 percent of workflows are digitised, even though 300 million pallets move between more than nine million companies every single day. The result is a messy system full of delays, missing equipment, and costly errors that add up to almost €50 billion a year.
The new pre-seed round was led by NAP, with backing from Daphni and a group of angel investors. The support gives Logistica OS room to expand its AI-driven automation platform and help more companies escape repetitive logistics work.
The team behind Logistica OS understands the industry’s problems up close. The company was founded in 2025 by Flavio Alario, Kenan Deniz, and Florian Lehmann. Each founder brings years of experience across supply chain operations, process automation, and product development. They started the company after seeing how scattered workflows and manual reconciliation drained teams every day.
The core idea behind Logistica OS is simple. Instead of piling teams with emails, spreadsheets, and endless follow-ups, the startup builds AI agents that take over entire workflows from start to finish. These agents don’t just move documents around. They actually perform the work.
Its flagship product, PalletClaim, focuses on one of logistics’ most frustrating tasks. Reconciliation of pallet accounts is slow, error-prone, and heavily manual. PalletClaim uses custom Optical Character Recognition models trained on thousands of real-world documents to read handwritten delivery slips, extract pallet and product details, match them to the right partner, and update accounts instantly.
The platform also adapts to each customer. A flexible workflow builder lets teams mirror their own processes, even in multi-partner networks where edge cases are common. This reduces friction and makes automation far easier to adopt. Everything runs on EU-hosted infrastructure, keeping data compliance tight and predictable.
Inside the company, each AI agent has a personality. Jackie reads documents. Django pulls out structured data. Marcellus clears claims and finalises reconciliation. The playful naming hides a serious goal: remove weeks of manual work and bring clarity to operations that are usually chaotic.
Logistica OS sees its main competition in old pallet-management systems and manual service providers. Many companies still rely on Excel and phone calls. The team believes it is the first to offer truly end-to-end agentic automation designed specifically for logistics. Instead of digitising the old process, it replaces it.
The AI reads handwritten slips, extracts the right data, manages inconsistencies with smart cross-checking, and reaches out for missing documents on its own. Humans only step in for rare exceptions, which helps the AI continue learning.
The company’s technical advantage comes from combining domain knowledge with proprietary OCR, validation rules tailored for logistics, and workflow tools that handle the messy parts of supply chains. This blend allows automation even in environments where every partner, warehouse, or carrier works a little differently.
The current team of eight spans four nationalities and a mix of backgrounds across logistics, automation, and product. As the company grows, it plans to expand its sales and marketing roles while keeping the team balanced and diverse.
The mission ahead is clear. Over the next few years, Logistica OS plans to bring AI agents into more areas of supply chain operations. The team wants to help more than 100 companies automate processes such as pallet reconciliation, delivery claims, credit notes, and invoice matching. Each of these tasks consumes huge amounts of manual time today. The goal is to turn them into fast, reliable, automated workflows that run quietly in the background.
Investors believe the timing is right. Logistics has struggled to digitise because it is complex, full of exceptions, and difficult to standardise. Many processes still depend on paper slips and handwritten notes.
The first wave of digitalisation improved visibility but left the operational core untouched. By starting with AI-native workflows, Logistica OS targets the part of logistics where automation can unlock billions in productivity gains for retailers, carriers, and suppliers.
The funding marks the start of a broader shift. Logistics teams have long needed tools that match the speed and complexity of their work. Logistica OS wants to deliver exactly that and push the industry toward a future where manual reconciliation and messy workflows finally become a thing of the past.
