Hotels often find out what a guest thought only after checkout, on a review site. Sunflow collects feedback right after the service, in the portal the guest already uses, and shows in the admin panel which room or location each review came from.
Traditional surveys go out at the end of the stay. By then the guest is packing; they won't remember the details of a cold dish or a slow bar order from three days earlier. The answer is usually a single overall score that doesn't say where the problem happened. And by then there is nothing left to do for that guest; the feedback only becomes a note for next season.
In Sunflow, feedback is requested at the moment of the experience. Once an order is delivered, the guest rates it in the same portal; after an à la carte dinner, they rate the restaurant. It isn't a single star either: criteria such as speed, taste, temperature and presentation are scored separately. So an experience like “the food was good but it came late” shows up under its own criterion instead of vanishing into an average.
Guests can also review the hotel overall and the app itself. Because the portal works in 5 languages, guests write in their own language, with no app download and no separate link to look for.
Every review reaches the panel with the room or location it came from. A low score is in front of your team while the guest is still at the hotel, so they can look into it and reach out if needed.
Highlights
A few taps for the guest; a review with a clear location for the team.
An order is delivered or an à la carte dinner ends. The guest sees the rating screen in the portal.
They score each criterion and can add a short comment, in their own language and in a few taps.
The review lands in the admin panel with its room or location and feeds into the reports.
Real screenshots taken from the app.
After dinner, the guest rates the restaurant experience on their phone.
The admin panel lists each order's criteria scores, comment and the room or location it came from.
Scores and comments about the hotel overall and the app, gathered on one screen.
A review is worth more when you know where it came from. The panel shows whether each rating came from a certain room, a bar or a restaurant. Low temperature scores that keep coming from the same location, or presentation scores that dip at a certain hour, would disappear in an overall average; here they are plain to see. Instead of guessing where to look, the team goes straight to the right spot and starts improving there.
Reviews are part of your reporting. Daily, weekly and monthly reports appear in the panel and reach managers by email, and the AI reports draw on this data too. Guest satisfaction sits in the same picture as sales, not in a separate file. You can follow which location struggles with which criterion over weeks and use that to support staff planning and menu decisions.
Review coverage is growing with the platform. Service-based reviews for the spa, housekeeping and complaint resolution, an end-of-stay review, and requests and complaints tracking are coming soon. Order, à la carte, overall hotel and app reviews are ready today; the Sunflow team handles setup, and because it is easy to use, your team doesn't have to learn another system.
All of them run in the same guest portal and the same admin panel.
Guest services with one QR, hotel operations in one panel.
Digital menu ordering from restaurants, bars and every location.
Trackable orders from verified guests, delivered to the room.
Location-based ordering and service in outdoor areas.
Bookings from the guest's phone for paid or included restaurants.
Orders from every outlet, department routing and F&B analytics.
Orders, reviews and daily, weekly and monthly reports.
Platform & Technology6 min read
Guests often share what they think only after checkout, when it is too late to fix anything. How to collect feedback during the stay, link it to the right place and turn it into action.
Artificial Intelligence3 min read
AI is no longer just for large corporations — it's a tool any hotel can use. Real-world applications from order analytics to forecasting.
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