“AI‑supported order input leads to a more lean supply-chain” – Tom Devos (Hyperfox)
By using AI for order entry, Hyperfox prevents errors from seeping into WMS, picking, planning and invoicing. As a result, the supply chain will be less reactive. Hyperfox achieves this by automatically processing and validating orders before they enter the ERP system. The software company recently became a Start2Scale-up Partner of LogiVille. Founder Tom Devos introduces his company.
How and when was Hyperfox established?
Hyperfox was founded in 2023. The company develops software to automate the ordering process. The focus is on the distribution sector and road transport.
The idea arose during my fifteen years of experience in consultancy. I worked on the integration and exchange of data between companies and organisations. This involved orders, invoicing and deliveries.
I noticed that the ordering process presents many back-office challenges. Orders come in via EDI, but also via telephone, email or PDF. Sometimes even via a drink coaster. These unstructured orders are largely processed manually. This inevitably leads to errors.
The idea was to automate the entry of orders and transport orders into ERP or TMS systems. All order channels are integrated via AI.
Today, the platform has proven its value. Companies can automate more than 60 per cent of their order intake. This is done without human intervention.
How large is Hyperfox today?
Hyperfox currently has twelve employees. These include developers, customer success profiles and people in sales and marketing. The head office is located in Hasselt.
The company also has offices in Antwerp, Duisburg and Hamburg. This allows Hyperfox to better approach local markets. Germany is considered a test market for international expansion.
Hyperfox now has customers in Belgium, Germany, the Netherlands and the United Kingdom. Its international ambitions are clear. We also have the resources to realise those ambitions.
At the beginning of this year, Hyperfox raised €3.2 million in seed capital. This was done with four investors: Volta Ventures, JK Invest, LRM and RDY Ventures. The funds will be used to scale up within the EU and to further invest in the development of the platform.
What role does AI have in your software?
Orders come in through various channels. These are often unstructured, which makes automation complex.
We use AI to convert this information into usable data. This data is entered into the ERP or TMS system so that the rest of the process can run efficiently.
AI is also used to detect errors at an early stage. A concrete example from practice: a manufacturer of pots and pans sells through an official distributor network and through private labels. Prices vary per channel, per licence holder or per country. Volume discounts also vary.
In addition, certain products may not be delivered to specific customers. Sometimes there is also a waiting period after launch. If such deviations are not detected before entry into the ERP, incorrect orders end up in the WMS. As a result, products may be picked that should not actually be delivered.
Extracting data from a PDF is no longer that difficult these days. However, deciding when an order can be released, at what price, and with what delivery time, that’s what makes it complex. That’s where we stand out.
Your SaaS-platform will also be used in road transport. What is your contribution?
Hyperfox’s SaaS platform is also used in road transport. Here, the company focuses on AI-driven automation of transport orders. This mainly takes place on the ‘spot market’.
Here too, orders come in through various channels, such as emails, PDFs, Excel files, portals or EDI. Intake is automatic. Delivery addresses, references, and terms of service are recognised and validated.
Error-free transport orders are then created in the TMS or ERP. This ensures faster and more accurate planning and dispatching.
Because the data is complete and correct, deviations during execution can be detected more quickly. We compare the original transport order with the final CMR consignment note. This also ensures that the invoicing is correct. This can save transporters a lot of money.
How will AI influence the development of your platform?
The AI platform will continue to develop rapidly in the coming years. By spring 2026, the ordering process should be largely autonomous. The system will even be able to request additional information itself.
I am often asked whether this is risky, but there will always be a human in the loop. That person will check, oversee and validate.
Hyperfox is a partner of Google DeepMind, the team behind Google Gemini. This business AI platform from Google Cloud is designed for secure, scalable, and GDPR-compliant applications.
Thanks to this partnership, we can anticipate even sooner. Autonomous systems are already in development today. They will find their way to the market. We are convinced of that.
Why did Hyperfox become partner of LogiVille?
Hyperfox first came into contact with VIL two years ago. This happened at the Transport & Logistics trade fair in Antwerp. On the advice of an investor, the company subsequently became a member of VIL.
Hyperfox participated in events and LogiLaunch. This brought the company into contact with various businesses, some of which were major players.
With the LogiVille partnership, Hyperfox wants to go one step further. The company wants to increase its brand awareness. It also wants to approach the market more broadly.
We are in the transition from “product-market fit” to accelerated growth. The construction phase is behind us. We are approaching the point where our business model is becoming predictable and repeatable.
This opens up prospects for new sectors. In addition to distribution and transport, Hyperfox is also looking at the chemical, pharmaceutical and oil industries. LogiVille is the ideal place to reach those sectors.
We see LogiVille as a springboard for growth. It will enable us to realise our ambitions more quickly.
Hyperfox
Want to learn more about this Start2Scale partner? Read all about Hyperfox via this link.
