Mews unveils operating system for the hospitality industry | News
The average hotel runs on eight to ten different software vendors: a property management system (PMS) for reservations, a revenue management system (RMS) for pricing, a channel manager for distribution, a separate inbox for messaging, a separate kiosk for check-in, a separate point of sale (POS) for F&B, a separate accounts receivable tool to track what hasn’t been paid yet. Each of these tools solved one problem. Together they created a bigger one.
Hoteliers spend their days fine-tuning systems that should already be in sync. Every transfer costs income. Any update that is not mapped poses a support and security risk. Each category adds a line to the bill. A 2026 Mews survey of 500 hoteliers in five countries shows that the most commonly cited outcome hoteliers want from new AI investments is not more AI. It is their existing systems that work better together. ¹
Fourteen years of building one answer.
For fourteen years, Mews has been calling out where this industry is going, before anyone else was. In 2014, Mews launched the first online check-in in the hospitality industry. In 2015 the first open API in hotel software, the first native guest messages built into a PMS and the first embedded PMS payments. The first online cash register in 2018. The first integrated mobile digital key in 2025. And among them is SpaceTime (2021) – the only hospitality data model that treats time and space as continuous resources, not like the room-and-night abstractions that hotel software has used since the 1980s. Each of these firsts was a bet that the boundaries between hotel systems were artificial. Today that bet paid off.
“The hotel industry runs on a category map that was created forty years ago. PMS, RMS, CRS, CRM, POS – these aren’t real things. They’re acronyms invented by software companies to sell more software. Within Mews, those categories don’t exist as separate systems. They form one workflow, on one data model with AI working across every layer. This is the hospitality industry’s iPhone moment, and today we’re showing what it looks like,” says Richard Valtr, founder of Mews.
One platform.
Today at Mews Unfold, Mews is launching five products that complement the AI-native Mews operating system as the first unified platform and data layer for hospitality.
Mews RMS integrates dynamic pricing into the platform, performing 150 million price calculations per day and making rate changes based on live demand without manual intervention, increasing total revenue per square meter by an average of 13.7% compared to hotels without RMS.²
Mews Channel Manager, powered by SiteMinder, will bring distribution natively into the platform through a unique technical partnership, the most unique in the industry, connecting hotels to more than 400 OTAs through one contract, one invoice and one support line.
Guest Messaging is a guest inbox that unifies WhatsApp, SMS, OTA messages and email, works with full context about the reservation, guest profile and room, and, crucially, can manage the conversation and even action tasks autonomously through our native Mews Agent.
Automations automatically turn guest insights into action, upgrade returning guests, add features, and route tasks to the right team with workflows that can be built from templates, visually customized, or described in natural language.
Accounts Receivable brings the entire B2B invoice-to-cash workflow within the platform and replaces the seven to eight day billing delay typical in the industry with automatic issuance at invoice closing, enabling 100% automated reconciliation.
“Our job is not to rebuild what exists, but to bring into one place what hotels need. Independent research from IDC published last month shows what that delivers: Hotels running the Mews operating system realize 8.7% revenue growth, an annual benefit of €350,000 per 100 rooms and a 476% ROI over three years with a four-month payback period.” One platform, one data model, one invoice,” said Matthijs Welle, CEO of Mews.
Built for the hotel.
Prices flow to distribution. Distribution according to the booking. From the booking to the conversation. The conversation to check in. Check in on the folio. The folio with the invoice. The invoice to the bank. One platform. One data model. One invoice. The platform is there. What comes on top is what comes next.
¹ Mews Hoteliers Survey H1 2026, December 2025 – March 2026, n=500 hoteliers in US, Canada, UK, France and Germany.
² Based on causal inference methodology for Mews RMS properties with automatic recommendations active for nine or more months, compared to a matched control group of Mews customers without a revenue management system.
³ IDC Business Value of Mews, April 2026, n=8 hospitality customers.
