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The Latest from GPTPricing
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Transforming Revenue Management: GPTPricing Integrates with Hostaway
We’re excited to announce our integration with Hostaway, a leading platform for vacation rental managers. With GPTPricing’s AI-powered dynamic rates and Full Stay Pricing engine, Hostaway users can now unlock smarter pricing strategies, maximize occupancy, and revolutionize revenue management in the mid-term rental space.
Introducing GPTPricing’s Full Stay Pricing Engine: Your Cheat Code for Revenue Management
One of the biggest challenges for any revenue management team is to spend less time tinkering with rates while still hitting your revenue targets. Today, we’re thrilled to announce an entirely new suite of features that gives you a cheat code for maximizing your revenue: GPTPricing’s Full Stay Pricing Engine (FSP). Whether you need to handle those awkward mid-stay gaps or instantly adapt to a high-impact local event, our FSP assistant has you covered.
GPTPricing Launches Cluster Management for Smarter AI Optimization
We’ve added Cluster Management to our AI optimization algorithm, revolutionizing how pricing handles correlated booking days. By disincentivizing cluster-breaking reservations and adjusting prices for already-broken clusters, GPTPricing ensures optimal revenue. Our system simulates millions of stay scenarios to dynamically balance penalties and discounts, empowering property managers with intelligent pricing strategies for high-demand events and weekends.
Introducing Expected Occupancy Curves: Smarter Dynamic Adjustments from GPTPricing
GPTPricing’s new Expected Occupancy Curve feature ensures pricing remains dynamically aligned with real-world demand. By projecting optimal occupancy based on market data, the system automatically adjusts prices as actual occupancy deviates, reducing manual work and optimizing revenue effortlessly.
Announcing Sticky Base Pricing and Sticky Booked Rate Parameters
GPTPricing introduces Sticky Base Pricing and Sticky Booked Rate Parameters, offering property owners greater control over pricing. By dynamically pulling prices toward historical base rates or booked rates, this feature ensures prices stay aligned with market realities while addressing algorithmic overestimations.