Yield more REVPAR and savings in 5 steps
The key to profitability for accommodation companies inevitably comes down to one question: How accurate is your demand forecast? Find out how to use event data in your pricing and packaging strategy to make the most of your occupancy and ensure higher revenue. This report unpacks how one of the world's leading hotel chains uses event data to drive $90 million per year in increased REVPAR and savings.

Discover how one of the world's largest hotel chains with 6,000+ properties used PredictHQ’s data to improve their forecasting accuracy to realize $90 million in potential savings and revenue optimization across three key areas:
Learn how to use event data to calibrate staffing for smooth check-in and check-out during peak demand hours.
Aligning inventory and staff schedules with incoming demand powers great service without surplus staff when they aren't needed.
Find out how to pinpoint opportunities where prices could be raised substantially to earn more from your inventory.
5 steps to yield more revpar
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Demand Forecasting: Incorporating events into models for smarter forecasting.
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Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
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PredictHQ has supplemented incomplete data sets, including unticketed events and cancelled events, to power pricing strategies and operational decisions.
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Demand forecasting: Incorporating events into their Antuit-built models to better understand demand across 9600 stores.
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Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
Blog Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
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Event visibility: Available in Zartico’s platform enabling deeper insight and smarter decisions.
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Pricing: A key source of intelligence for the OTA Insights platform, enabling smarter pricing.
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Labor optimization: Enriching the Legion Technologies platform, used by retailers to reduce labor inefficiencies.
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