Vacationing with Robots Is The New Reality at Dutch Holiday Parks
The face of holiday park services in the Netherlands is changing as visitors at Landal GreenParks now find a robot welcoming them among the staff. Since joining the team in November, Clevon’s delivery robot has supported the parks team by delivering and collecting linen to and from the recreation homes in the holiday park.
For a long time, Landal GreenParks has been working on introducing robots with innovative features to make work easier, better and more fun. They can also increase guest satisfaction and relieve employees from work. For example, robots have already been successfully implemented in the holiday provider’s restaurants to support service staff. The new robotic team member, affectionately nicknamed ‘Lotte’ by Landal’s staff, offers a glimpse into the future of hospitality services where technology enhances human interaction rather than replacing it.
“Our world is seeing more and more innovative technology solutions that make life easier. The digital key in the Landal app enables our guests to access their accommodation and the swimming pool and also book the restaurant and other activities directly. And robots make work easier for employees in many of our restaurants,” says Landal GreenParks COO Jeroen Mol.
“Every year, we receive around 3.2 million guests who spend around 15.6 million nights with us. This brings both opportunities and challenges. With these self-driving delivery robots, we’re introducing further innovative solutions that make guests’ stays easier.”
From delivering fresh linens directly to guest accommodations to transporting groceries and tools upon request, the robot ensures a smooth and efficient service that allows park staff to focus on providing a more personalized guest experience.
Dutch Automated Mobility (DAM) is an expert in the field of self-driving technology and plays an important role in integrating the robot into the holiday park’s existing infrastructure. “The advanced technology of the Estonian manufacturer and supplier Clevon and its knowledge of autonomous vehicles fits seamlessly with our mission to create efficient and safe self-driving solutions for the future,” says Alwin Bakker, CEO of DAM.
“Our robots are a new step in making holiday parks more welcoming and efficient. They do various jobs, from delivering packages to helping out with services, allowing staff to focus on what’s important – the guests. This is just the beginning. We’re planning to bring this innovation to more parks across Europe with the aim of deploying a fleet of up to 500 robots, enhancing our service in a smart, eco-friendly way,” says Sander Sebastian Agur, CEO of Clevon.
Both parties are confident that this collaboration will lead to further innovations in holiday park services. The pilot project actively collects feedback from guests and monitors the robot’s performance, aiming to advance the use of autonomous technology in the park’s daily operations.
About Landal GreenParks
Landal GreenParks is a leading provider in holiday park management and rentals and operates over 100 parks in the Netherlands, Belgium, Germany, Denmark, Great Britain, Austria, Switzerland, the Czech Republic and Hungary with a total of 14,000 holiday homes and 1,100 campsite pitches. Every year, more than 3.2 million guests choose Landal GreenParks, amounting to 15.6 million nights spent there. The parks and various office locations employ 3,500 people. Thanks to its active sustainability policy, all parks have been awarded the Green Key certificate. Find out more at landal.co.uk
About Dutch Automated Mobility
Dutch Automated Mobility (DAM) is a pioneer in the Netherlands in the implementation and operation of self-driving vehicles. Since 2018, DAM has put 4 passenger shuttles and 4 delivery robots on the road. DAM works with all stakeholders to apply new technology safely and achieve added value for employees, customers and guests. DAM is a collaboration between Rebel Automated Shuttles and Future Mobility Network. Learn more at dutchautomatedmobility.com