The Price Recommender system delivers daily AI-driven pricing recommendations, enabling you to maximize occupancy and revenue for your property.
Price Recommender is your personal revenue management advisor. Using modern and continuously evolving artificial intelligence algorithms, Price Recommender can suggest the best price to maximize your revenue.
Every day in the 'Pricing Recommendations' tab, you will find the latest suggestions and valuable reports. You can review and approve all recommendations using a convenient web panel or an app for Android/iOS.
Our solution is fully integrated with KWHotel Cloud PMS, Cloud Channel Manager, and AI Booking Engine modules. This allows you to optimize pricing (and therefore revenue) across all sales channels.
Price Recommender analyzes market and historical data to automatically recommend prices that maximize profit and occupancy.
Our system learns from thousands of data points – considering trends, seasonality, and your property's specifics to precisely adjust prices.
Price Recommender not only suggests optimal prices but also provides statistics and two reports to further enhance your pricing strategy – the Occupancy Forecast and the Occupancy Heat Map.
You can trust the recommendations or adjust prices manually – you have full control over decision-making. The system will not change any price without your approval. You can also set minimum/maximum price limits.
You don’t need to be a revenue management expert – recommendations and explanations are provided clearly, and you manage everything in one convenient window.
The built-in rate plans module allows for quick and flexible price setting through easy-to-use formulas and rate derivations.
There's a lot! When preparing pricing recommendations for you, I already consider:
GuestSage PSA specializes in providing advanced AI-powered tools for the hospitality industry. Its flagship products are AI Booking Engine i Price Recommender,, which help hoteliers increase direct booking revenue, optimize pricing policies across all sales channels and forecast occupancy.
Thanks to close cooperation with KajWare, GuestSage has achieved deep integration with KWHotel. Both platforms use the same database, eliminating delays and errors, ensuring smooth cooperation without manual data entry or switching between applications.
Currently, we assign a separate artificial intelligence to each hotel, learning exclusively from its data.
In the future, we plan to create an AI that learns from multiple hotels' data, allowing it to:
Price Recommender differs from competing systems in that it does not require costly configuration and manual adjustment to market changes. Thanks to advanced AI algorithms, it independently analyzes data, learns customer behavior and dynamically adjusts prices in real time. Traditional systems require constant manual updates, which can be particularly problematic in case of incorrect competitor assessment or unexpected events. Price Recommender can automatically detect sudden changes or incorrect settings and respond accordingly.
A good advisor can explain its decisions. This is no different here. Each recommendation comes with an explanation icon. Click it, and Price Recommender will show you why it suggested that particular change! System explanations include projected occupancy changes, revenue adjustments, and even expected cancellations!