Customer Cases

ONVZ, a premium health insurer in the Netherlands serving over 420,000 individuals, faced significant challenges competing on customer experience in a market dominated by larger players. Legacy systems and reliance on third-party developers slowed their ability to innovate, putting them at a disadvantage in meeting customer expectations and regulatory requirements.

BTT Multimodal Container Solutions is a company that provides logistical solutions for containers. Taking care of transport from and to the ports of Antwerp and Rotterdam. Its customer service receives a lot of questions from clients about the status of containers. The information is there, but it's hidden in databases. Can we make life easier for customer service employees? Yes we can!

Can we create a working solution that makes both clients and mechanics happy? That was the challenge our team of data scientists and consultants took on during the Emixa Advanced Analytics Hackathon. They worked on a smart tool for installation and service company Comfort Partners.

A global trading company was re-evaluating its market strategy. The key questions were: Which markets are expected to grow, and which are likely to slow down? Operating in growth markets with a focus on expanding the customer base and introducing new products and services differs significantly from operating in more mature markets, where operational efficiency is paramount. As a result, the company faced new challenges, particularly for its IT departments worldwide. How could they adapt? Emixa stepped in to support the global IT management team.

This innovative process engineering company specialises in the end-to-end delivery of processing systems. Its services range from the design of bespoke machines to its installation onsite to various maintenance services. The company is always on the lookout to improve its services. How can it improve its troubleshooting and maintenance activities and offer added value for clients?

A public city transport company transports around hundred thousands of people per day via its trams and buses. The company wanted to learn about and experiment with using generative AI. Which uses could be of added value to its daily operations and people? Emixa supported the company in taking those first steps and using generative AI.

Nederlandse Spoorwegen (NS) is the main passenger rail service in the Netherlands. As part of its services, it operates, manages, and develops all train station areas in collaboration with various partners. In these partnerships, exchanging information about the use of the premises is key. Every year, NS carries out a manual count of all the cars parked at its 400 train stations—a process that's both time-consuming and expensive. Could NS use new technologies to make this task more efficient?

ConTeyor is a state-of-the-art packaging and storage solution provider. The company has 28+ years of experience developing and manufacturing patented, sustainable and returnable packaging and storage solutions. It makes custom logistics carriers to transport products, based on 3D models of clients' products. ConTeyor has ambitious growth targets and has hired many new designers and engineers.

GVB, Amsterdam's public transportation company, operates a comprehensive network of subways, trams, buses, and ferries, ensuring efficient mobility throughout the city. The maintenance of this fleet is one of its key activities. In its quest to become the smartest transportation company in Europe through digitalisation, GVB wants to become a data-driven organisation. How can it unlock maintenance data and use it in its daily operations?