Vectrix Raises $1.2M Seed to Automate Logistics Orders

Key Takeaways

1. Antwerp-based logistics AI startup Vectrix raised €1.15 million (~$1.2M) in Seed funding, led by RDY Ventures with participation from Seeder Fund, PMV, and Germany’s Prequel Ventures.
2. Vectrix’s AI platform cuts transport order processing time from 8 minutes to just 2 minutes per order, a 75% reduction in manual data entry time.
3. The 7-person team has already processed over 25,000 orders and saved an estimated 2,500 hours for logistics clients, including a successful pilot at major logistics provider H. Essers.
4. Vectrix plans to double its team in 2026 and expand into Germany, the Netherlands, and the UK, with a goal of signing its first 3 German customers this year.​

Quick Recap

Antwerp-based logistics AI startup Vectrix has officially closed a €1.15 million (~$1.2 million) Seed funding round, led by Belgian VC firm RDY Ventures. The round also drew participation from Seeder Fund, PMV, and Germany’s Prequel Ventures. The announcement, confirmed through the company’s official blog and multiple European tech outlets in early March 2026, positions Vectrix for its next phase of European market expansion.

How Vectrix Rewires Logistics Back Offices?

At its core, Vectrix solves a deceptively simple but costly problem. Large transport companies process hundreds to thousands of order requests daily, and each request takes an average of 8 minutes to manually enter across roughly 35 fields in a Transport Management System (TMS). That repetitive administrative grind is not only unappealing for job seekers but also highly error-prone.​

Founded in 2024 by CEO Dimitri Allaert and CTO Ben Selleslagh, Vectrix operates as a “pre-TMS” layer. Rather than replacing a logistics company’s existing TMS, the platform sits in front of it. It ingests unstructured order data from emails, PDFs, Excel files, ERP exports, and even screenshots, then uses AI to extract, validate, and enrich the data before pushing clean, structured orders directly into the TMS.

The result: processing time drops from 8 minutes to roughly 2 minutes per order. As the AI processes more data, it learns each customer’s specific context and can flag inconsistencies, such as when a pharmaceutical shipment lacks proper temperature settings or when a requested load physically cannot fit the assigned vehicle. Critically, the human operator stays in the loop. Logistics employees review pre-filled orders through a single interface and can adjust where needed. That feedback loop helps the AI improve continuously.

At logistics provider H. Essers, a pilot was completed successfully, and all transport departments are now rolling out Vectrix across their operations. The platform currently employs seven staff and has processed more than 25,000 orders since inception, translating into roughly 2,500 hours saved.

Europe’s Logistics Talent Gap Meets AI Automation

The timing of Vectrix’s raise reflects a broader shift across European logistics. The sector faces a persistent shortage of administrative staff for repetitive data-entry roles, a problem Allaert has called out publicly. This labor gap makes automation not just a “nice-to-have” but a structural necessity. European investor appetite for logistics AI is growing rapidly.

Belgian TMS company Qargo raised a massive €28 million Series B in late 2025 led by Sofina, bringing its total funding to €46 million and reporting that AI automation helped its clients reclaim 75% of time previously spent on manual tasks. Dublin-based Axe closed a €1.5 million pre-seed round in mid-2025 to build autonomous AI agents for freight brokers and carriers, tackling similar order entry and quoting workflows. And Belgian logistics planning startup Timefold raised $6.7 million to optimize scheduling using AI.

Competitive Landscape

Vectrix competes in the emerging “pre-TMS” and logistics order automation layer. Two of its closest competitors by stage, geography, and scope are Axe (Dublin) and Trans-IT (Belgium).

Vectrix’s distinct advantage lies in its “pre-TMS” positioning, meaning it does not require logistics companies to swap out their existing systems. Axe takes a broader agentic AI approach, covering not just order entry but also quoting and phone calls, and is already expanding into the US market. Trans-IT, while more established (founded in 2020), focuses narrowly on container transport and offers a full TMS rather than an add-on layer. For logistics firms that want to keep their existing TMS intact but dramatically reduce manual data entry, Vectrix currently appears to be the most targeted solution in the European market.

Bayelsa Watch’s Takeaway

I think this is a significant move for the European logistics-tech scene, and here is why. In my experience covering SaaS and AI startups, the companies that win are not the ones building flashy replacements for entire enterprise stacks. They are the ones that find a specific, painful bottleneck and automate it without forcing customers to rip and replace their existing tools. That is exactly what Vectrix is doing.

The pre-TMS angle is smart. Logistics companies are famously resistant to swapping out core systems, but they are desperate for anything that eases the hiring crunch and reduces errors. A €1.15 million seed round is modest by today’s standards, but the early traction is encouraging: 25,000 orders processed, 2,500 hours saved, and a real enterprise client in H. Essers rolling out across departments. I generally prefer startups that can show measurable ROI early, and Vectrix ticks that box.