reference project
Startup

AI agent in Make automates order entry from emails – vemove vehicle logistics

Find out how an AI agent at vemove reads transport orders from emails and enters them into the system on its own, so the team no longer has to type anything up.

Tools
Make, OpenAI
Industry
Industry
Use Case
AI agent, workflow automation, system integration
AI agent order entry vehicle logistics reference Blinno

Company overview

vemove organises vehicle transport for businesses across Europe. When a car dealership, a rental company or a leasing firm needs to move a vehicle from A to B, it books the transport through vemove's platform. The vehicles are moved by a network of more than 2,500 transport partners.

Initial situation

Many customers order their transports the traditional way: by email. Sometimes the details are in the body text, sometimes in a PDF, and sometimes a single message covers several vehicles. The team read every one of these emails and typed the details into their own system by hand. With thousands of emails a year, that meant a lot of routine work. The exact pick-up or delivery address was often missing too and had to be looked up first.

Solution

We built an AI agent for vemove. Think of it as a digital team member keeping an eye on the order inbox. When a new email arrives, it reads it along with any attachment, recognises which customer sent it and picks out the key details: which vehicle, from where to where, and by when.

If something is missing, the agent checks the stored customer data and fills in the pick-up address, for example. It then enters the order directly into vemove's system. If it isn't sure about an order, it saves it as a draft so someone from the team can take a quick look.

To make sure the agent handles special cases correctly, we worked with vemove to put together an extensive set of rules.

The technology behind it

  • Make: The automation platform is the foundation. The entire process runs here, from collecting the email to creating the entry in the system.
  • Make AI Agent: The AI agent in Make reads the emails, understands the content and uses the set of rules to decide what happens with each order.
  • Microsoft Outlook: Orders arrive in the Outlook inbox, which Make accesses directly.
  • Make Data Store: This data store holds the customer data, such as pick-up and delivery addresses. The agent looks things up here whenever an email is missing information.
  • GPT-5.6 Luna by OpenAI: This AI model enables the agent to read and understand emails. The solution would of course also work with other AI tools.
  • Interface to vemove's system: Through a direct connection (API), the agent enters the finished orders into vemove's system.
Success

Customer benefits

Less manual typing

Orders land in the system automatically. The team only deals with the exceptions.

Complete orders

The agent fills in missing addresses itself, which saves follow-up questions to customers.

Full control

Unclear cases never go through unchecked; they reach the team as drafts.

Scales and stays flexible

More emails don't mean more work for the team. vemove adapts the solution itself when new customers or special cases come along.

Our solutions

Project Insights

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Senior Operations & Digital Marketplace Manager

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