How to Automatically Turn Guest Reviews into Hotel Service Tickets

Step 1: MARA Service Ticket AI identifies the issue‍

When a guest review arrives on any connected platform, MARA Service Ticket AI scans it for complaints that require operational action and classifies them as either:

• Maintenance tickets: anything broken, malfunctioning, or in need of repair (e.g. broken remote, noisy HVAC, faulty shower)
• Housekeeping tickets: anything requiring replenishment, cleaning attention, or room preparation (e.g. missing amenities, cleanliness issues)

This runs across all languages, across all connected review sources, without a human in the loop.

Step 2: Mews supplies the room number

Through the MARA–Mews integration, MARA matches the reviewing guest to their reservation record in Mews. The review is enriched with the room number, room type, rate, and stay dates. MARA Service Ticket AI now knows exactly which room the complaint relates to, not just which guest raised it.

This is the step that unlocks everything downstream. Without the room number, a complaint is a data point. With it, it becomes an actionable ticket.

Step 3: Flexkeeping creates and routes the ticket

With the complaint classified and the room number confirmed, MARA pushes a fully formed ticket into Flexkeeping. It reaches the right team (maintenance or housekeeping) immediately, on their mobile device.

As Shepherd described it: "The maintenance team starts the morning, opens their phone, and they've got every ticket from overnight, plus all the ones that came in from Booking.com and Expedia. Nothing gets missed."

What else does connecting review data to your PMS unlock?

Service ticket creation is the most immediate output of connecting MARA to Mews. But the integration also changes what analytics are possible, because every review now arrives with operational context attached.

Room-level review analytics

MARA aggregates guest satisfaction scores by individual room number, across all review platforms. For the first time, hotels can see which specific rooms generate lower scores relative to comparable rooms in the same category, and understand why.

An AI summary surfaces the recurring themes from reviews of each room: a noise problem that multiple guests have flagged, a view that consistently earns praise, a heating issue that keeps appearing. Hotels use this to prioritise maintenance, inform refurbishment decisions, and assign higher-performing rooms when occupancy allows.

Guest preference tagging in the PMS

The data flow runs both ways. MARA pushes insight back into Mews as well as reading from it. Hotels can tag returning guest profiles based on their review history: flagging a guest who complained about noise so the front desk assigns a quieter room, or marking a highly critical reviewer for proactive attention on arrival.

How does Flexkeeping automate hotel operations beyond ticket creation?

Flexkeeping's role goes beyond receiving review-triggered tickets. The platform replaces manual daily coordination with rules-based automation. Hotels define the logic, Flexkeeping reads reservation data from Mews and executes. Some examples of how Capilon Hotels uses this today:

• Cleaning schedules: If a stay exceeds seven days, the system adjusts cleaning frequency automatically. If a guest opts out of housekeeping, all cleans are removed from the schedule without anyone manually updating it.
• Rate-based service levels: Guests in higher rate categories receive a different service level. This is set by rule, not by individual instruction.
• Guest requests: When a reservation includes a request (baby cot, VIP setup, allergy requirements), Flexkeeping schedules the relevant task for the right team on the right day without anyone needing to forward the information.
• Birthday setups: Capilon Hotels uses Flexkeeping to automatically create two tasks when a guest birthday appears in reservation data: one for reception to write a card, one for housekeeping to place it in the room before arrival. This is triggered from the reservation, weeks in advance, with no manual follow-up needed.

MARA co-founder Maximilian Lüders framed the shared goal across all three platforms clearly: "Data shouldn't just be collected. It should be made actionable and delivered where it's needed, without humans having to move it there."

If you are running on Mews and want to see MARA Service Ticket AI in action, book a demo at mara-solutions.com. If your property uses a different PMS, get in touch. We are expanding platform support and would like to hear what you need.

What is the business case for automating the review-to-ticket workflow?

Here is what changes operationally when this workflow runs automatically:

Front desk time recovered. Staff stop spending mornings cross-referencing extranets and the PMS. That time goes back to guests standing in front of them.

Errors removed. Manual data entry introduces mistakes. Automation removes the transfer step entirely.

Faster resolution. Maintenance teams get the ticket as soon as the review is published. Not the following morning.

More credible review responses. When replying to a complaint about a broken remote, the team can confirm the fix is done. That specificity shows in every public response.

Fewer repeat complaints. Room-level issues are identified and resolved before the next guest checks in.

Which hotels can use MARA Service Ticket AI today?

MARA Service Ticket AI currently requires all three platforms to be active: MARA, Mews, and Flexkeeping. The Mews connection is the foundation, supplying the room number that turns a review complaint into a specific, actionable ticket rather than a general note.

For hotel groups running across multiple properties, this matters at scale. A group with ten or twenty hotels receives hundreds of reviews each week across dozens of platforms. MARA Service Ticket AI processes all of them, routes the operational issues to the right property team automatically, and surfaces room-level patterns across the portfolio that would be impossible to identify manually.

For hotels already on Mews, setup is straightforward. For hotels on other PMS platforms, MARA has an open API and is actively building out additional connections. MARA Service Ticket AI is planned to roll out across further PMS and hotel operations solutions in the near future.
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