The advantages of our data refinery
Touristic and how it works
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Combining power and intelligence to combine volume, reliability and veracity.
Art of living, culture and tourism... Contextualize, correct biases, bring life to our data.
Ensure flawless traceability for fresh and certified data.
Optimize data structuring for increased performance.
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Travel is at the heart of Region Lovers.
For our teams, for our readers,
for our customers.
Our difference?
✔ We are going to the site.
✔ We live the experiences
that we recommend.
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Each location is visited by a Region Lovers collaborator.
Trained. Tooled. Experienced.
We take the time:
30 minutes to 1 hour per site.
No approximation. Real.
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During the visit, we collect
more than 100 data.
Everything is entered on Explor, our internal application. A tailor-made form to leave nothing to chance.
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Yes, we sometimes come across as eccentrics!
But we photograph everything :
✔ The art
✔ The stairs
✔ Even the bathroom door
Because every detail counts.
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After the visit, it's time for emotions.
Our team share theur experiences verbally.
In a guided conversation,
we capture the essentials:
The soul of the place.
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Quality Access road to the place
Existence parking location-specific
prix dedicated parking
Capacity Dedicated parking vs popularity of the place
Possibility to park large vehicles nearby (campers)campers)
Bicycle parking
Places For people at reduced mobility
Possibility to park on the street/on the road In front of the venue
Non-dedicated parking nearest (name and address)name and address)
Other info Parking
Possible data
types of places specified
In 2025, we joined the deeptech accelerator from Normandy Incubation to better structure our R&D work and implement an ambitious intellectual property policy (patent, protection, etc.).
As part of a CIFRE thesis, we are working with the prestigious GREYC laboratory at the University of Caen to allow AIs to remain reliable in a dynamic and uncertain environment (weather, strike, mood of the day...).
With the IDEES laboratory at the University of Le Havre, we are conducting collaborative innovation to see how to reconcile AI and HI in the service of better quality data.
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We are working with the startup DIMARC to identify the experience that will allow the user tohave confidence in the response of tourism AI.
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Welcoming more than 450,000 cruise passengers throughout the year, from all over the world, Le Havre provides us with an ideal environment for experimentation.
A true FabLab, it allows us to test our full-scale solutions, to easily collect feedback from tourists, to collect data continuously...
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