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The Latest from GPTPricing
Get the scoop on product updates, industry insights, and smarter strategies to boost your revenue and optimize your business.
Announcing Portfolio-Wide Hierarchies: Smarter Data Insights Across Related Listings
GPTPricing introduces Portfolio-Wide Hierarchies, leveraging data from related listings across cities to enhance revenue predictions and optimize parameters like expected length of stay and lead times. This new feature provides more precise insights for smarter pricing and portfolio management.
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.
Introducing Event Classification Based on Market Demand
Hyatus unveils a new approach to event classification by analyzing market demand. Differentiating between regular high demand and correlated high demand, the system identifies clusters for more precise pricing strategies. This breakthrough ensures better handling of seasonal demand and correlated clusters, optimizing revenue with advanced pricing adjustments.
Introducing the Pacing Dashboard: A New Era of Performance Monitoring
The Pacing Dashboard from GPTPricing brings unparalleled visibility into your property performance. By tracking metrics like booked nights by channel, total booked nights versus expected, and length-of-stay trends, it identifies potential issues in real time, helping property managers stay ahead of problems and maximize revenue.