Antwerp-based order entry platform Vectrix raises €1.15 million

Antwerp-based order entry platform Vectrix has raised €1.15 million in a seed round led by Antwerp VC fund RDY Ventures. The startup automates the manual entry of transport orders, reducing processing time from 8 minutes to a maximum of 2 minutes. With this round, the founders are setting their sights on Europe, starting with Belgium’s neighbouring countries.

Why transport order entry is broken

“7 pallets for Tuesday, same as last week.” In large transport companies, administrative staff process hundreds to thousands of such order requests every day. On average, it takes around 8 minutes to enter each new request into one of the 35 fields of a Transport Management System (TMS). This repetitive work is not only unattractive to job seekers, it also leaves significant room for human error.

“The logistics sector has faced a shortage of administrative staff for repetitive tasks for years,” says Dimitri Allaert, co-founder of Vectrix. “It’s not uncommon for values to be entered incorrectly, causing products to arrive in poor condition. In addition, employees sometimes lack context and cannot always properly assess transport orders. When a customer orders 6 pallets, for example, they may not fit in a 10-cubic-meter van. On the other hand, critical operational knowledge is often fragmented across operators’ minds or scattered in documents. As a result, employees constantly have to interpret information, making the work inefficient and error-prone.”

From 8 to 2 minutes

Vectrix was founded on this insight. The Antwerp startup automates the manual entry of transport orders using AI. Processing time drops from 8 minutes to a maximum of 2 minutes, while errors are minimised. At the same time, the AI continuously learns and can make recommendations when context appears inconsistent — for example, regarding temperature settings for transporting pharmaceutical products.

Within the IT chain, Vectrix positions itself as a pre-TMS system. Raw, unstructured input — such as emails or ERP systems — is converted into validated data, ready for any TMS program. Every decision is transparent and based on customer settings, historical data, and documented standard operating procedures, enabling logistics employees to quickly review pre-filled transport orders through an intuitive interface.

“Every transport company has a unique way of working. In addition, each end customer has specific agreements,” explains Ben Selleslagh, CTO at Vectrix. “Vectrix’s AI software understands each customer’s unique context and can enrich information accordingly. The logistics employee always remains in control and can adjust where necessary. In this way, the AI continuously improves and refines itself. By increasing efficiency, transport companies can offset the talent shortage and onboard new employees faster.”

25,000 orders

Vectrix was founded in 2024 by Dimitri Allaert (CEO) and Ben Selleslagh (CTO). Dimitri previously founded market research platform BUFFL, which he helped grow into an established player in the sector. The management team was recently strengthened with the arrival of Nick Pelicaen, co-architect of customs software Customaite. Vectrix currently employs 7 people and is running pilot projects with logistics companies. A successful pilot was completed at logistics service provider H. Essers, where all transport departments will now start using Vectrix. Since launch, more than 25,000 orders have been processed, resulting in 2,500 hours saved.

European focus

To further support its growth, the founders have now raised €1.15 million in a round led by Antwerp VC fund RDY Ventures, with participation from Seeder Fund, PMV, and Germany’s Prequel Ventures. The capital will be used to double the team in 2026 and expand into neighbouring countries, including Germany, the Netherlands, and the UK. New functionalities — including deeper integrations with Transport Management Systems — are also on the roadmap.

“In the short term, we want to build sufficient capacity to handle all incoming demand,” Dimitri continues. “We are therefore looking for AI and data engineers, as well as experienced commercial profiles to support our customers. In the medium term, we plan to add new functionalities to evolve into a full-fledged order communication platform that automates all communication around an order. In 2026, we also aim to sign our first three German customers. We look beyond national borders and are firmly committed to a European story.”