Category: Recent News

[London, 11 December 2025] – Mews, the operating system for hospitality and shared spaces, has released a winter product update designed to give hotels a cleaner start to 2026. The latest upgrades improve financial accuracy, automate the administrative work that slows teams down, and connect more of the hotel’s systems so operations run with less friction and fewer workarounds.

[Berlin, 16 December 2025] – Mews, the leading operating system for hospitality and shared spaces, has been chosen by Schloss & Gut Liebenberg, a unique property in the north of Berlin, to power its digital transformation and introduce a new era of hospitality for guests and staff.

The era of scaling hospitality businesses simply by counting rooms is over, according to The Bench, organisers of Future Hospitality Summit, which says that the future of hospitality lies in creating integrated ecosystems, lifestyle platforms and purpose-driven destinations.

400,000+ rooms in India, 15,000+ keys in the Philippines, AI-integrations, hourly booking, and expanded compliance coverage, marking a defining year for the global hospitality cloud-tech leader.

As the year-end travel rush hits full speed, hospitality brands aren’t slowing down on sustainability. Here’s what stood out in recent weeks:

For decades, the web has been held together by a chaotic and brittle system of custom APIs. This fragmented landscape of bespoke integrations is more than just a developer headache; it is the primary bottleneck preventing the next generation of AI from reaching its potential.

Mews, the leading operating system for hospitality, has today announced that Efteling, one of Europe’s most iconic theme park destinations, has chosen Mews to power its guest operations and deliver frictionless experiences across all its accommodations.

roommaster, the modern hotel management software built for independent hoteliers, has been recognized by Crozdesk as a 2025 Trusted Vendor, earning the distinction of High Market Presence.

Recent research from Cornell University has validated a core architectural principle that has shaped Rebyū, the AI-powered hotel review response platform, since its inception. Specifically, it affirms that AI performance in complex language tasks depends less on model scale or post-training optimization, and more on structured inference-time prompting that supports iterative reasoning.

A new analysis of more than 1,500 post-stay guest surveys has revealed that small, often overlooked design and wording choices can have a measurable impact on hotel survey response rates — challenging some long-held assumptions about survey length and guest fatigue.