Smarter accommodation forecasting + pricing with event data
Accommodation companies are becoming increasingly data driven. Core to this transformation is the use of verified, enriched event data to forecast more accurately– so they can adjust their pricing, packaging, staffing and more with confidence. This report walks you through the straightforward five-step process leading accommodation companies are using in order to make the most of event-driven demand.

Accommodation demand anticipation was never easy, but the pandemic caused major changes to demand patterns, making it harder than ever to predict and price accordingly. To achieve the foresight needed to optimize planning, leading hotel groups are tapping into large events that cause surges in demand. This report shows you how to:
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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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