hoteltech.news October 7, 2026
Hotel Technology1 min read

Eklo migrates 10 hotels to Apaleo, saves 738 hours a month

Voice reading · ~1 min

Eklo Hotels has moved its ten French properties onto Apaleo's API-first PMS in five months. The budget chain, which keeps opening new addresses across France, says it recovered more than 738 hours of staff time in June 2025 alone thanks to automated reservations, payments and reporting.

That figure is the one worth keeping. Not the migration itself, which is table stakes for any group above five or six hotels, but what it says about how a lean operator buys technology today. Eklo did not build a custom stack. It plugged into an open API and let the vendor carry the integration weight, which is exactly the pitch every cloud PMS has been making for years and very few chains actually execute at this pace.

My read: this is the template mid-size European groups should be studying. Growth by addition, not by rebuilding. The savings in hours are real, but the bigger prize is that a new property can open without a fresh IT project. That is what scalability means when you run hotels, not software.

Quick questions

How many hotels did Eklo Hotels migrate to Apaleo?
Ten French properties, all moved in five months. The chain runs a lean budget model and needed a PMS it could replicate as it opens new addresses.
How much staff time did Eklo Hotels save with Apaleo?
More than 738 hours in June 2025 alone. The hours came back from automated reservations, payments and reporting that used to be manual.
What is an API-first PMS like Apaleo?
A property management system built around open APIs instead of a closed database. That lets a hotel chain plug in third-party tools without custom development for each integration.
Why does the Apaleo model matter for growing hotel groups?
Because a new property can open without a fresh IT project. The chain reuses the same stack and integrations, which cuts the cost and time per new hotel.
Is Apaleo only for budget chains like Eklo Hotels?
No. The API-first approach fits any group that wants to scale without rebuilding its tech stack at every opening, from budget chains to lifestyle and boutique operators.

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