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RevPAR: A Vital Hotel KPI And Strategies To Improve It

Altexsoft

Revenue Per Available Room, or RevPAR, has emerged as a crucial key performance indicator (KPI) for assessing a hotel’s financial well-being and prosperity. This significant metric enables hotel owners to evaluate their property’s performance by considering both occupancy rates and average daily rates (ADR).

Hotels 59
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Average Daily Rate: The Role of ADR in Hospitality Revenue Management and Strategies to Improve This KPI

Altexsoft

The Average Daily Rate (ADR) — one of the leading hotel KPIs for gauging performance and profit — has gained considerable importance, and for a reason. We also investigate predicting ADR through machine learning and strategies to enhance this KPI. Example 1: Small boutique hotel. What is ADR?

KPI 52
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De la ‘sala de máquinas’ a la junta directiva: el nuevo rol del CIO, a debate en el CIO Summit 2024 

CIO

Estos ataques no sólo son cada vez más numerosos sino más sofisticados debido al uso que los ciberdelincuentes hacen de la IA clásica y el machine learning y la nueva IA generativa”. Rivero explicó que en su compañía aún predomina el uso de la IA clásica frente a otras soluciones más emergentes como la IA generativa. “En

Chemicals 179
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Occupancy Rate Prediction: Building an ML Module to Analyze One of the Main Hospitality KPIs

Altexsoft

The occupancy rate is a key indicator of the historical, current, and looking-forward performance of a hotel or vacation rental business. The occupancy rate in hospitality is the share of occupied hotel rooms or vacation rental units at a given time. Overall, average hotel occupancy rates range between 65 and 80 percent.

Hotels 52
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Dynamic Pricing Explained: Use in Revenue Management and Pricing Optimization

Altexsoft

We talked with experts from Perfect Price, Prisync, and a data science specialist from The Tesseract Academy to understand how various businesses can use machine learning for dynamic pricing to achieve their revenue goals. Approaches to dynamic pricing: Rule-based vs machine learning. KPI-driven pricing.