Master event data integration as an accommodation provider
As we enter a truly data-driven era, in-house booking platforms are being used to collect, analyze, and leverage vast amounts of data to enhance operations and the guest experience for major hotel chains, traditional bed and breakfasts, and more. Third-party data integration for these in-house booking platforms is a crucial step to ensure hotel providers can make business decisions based on data that is accurate and up to date.
In order to ingest event data and make forecasting real-world aware, you’ll need to understand how to incorporate external data into your existing tech stack, or what additional tools you might need to add to your tech stack.
Demand Forecasting: Incorporating events into models for smarter forecasting.
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
PredictHQ has supplemented incomplete data sets, including unticketed events and cancelled events, to power pricing strategies and operational decisions.
Demand forecasting: Incorporating events into their Antuit-built models to better understand demand across 9600 stores.
Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
Event visibility: Available in Zartico’s platform enabling deeper insight and smarter decisions.
Pricing: A key source of intelligence for the OTA Insights platform, enabling smarter pricing.
Labor optimization: Enriching the Legion Technologies platform, used by retailers to reduce labor inefficiencies.