Unexpected surges in demand hit even the most experienced forecasters and revenue managers. The sudden influx of bookings. The frantic rush to catch up and factor an event in your plans and pricing. As the world finds its new normal, accommodation groups need more accurate and resilient forecasts.
Demand Forecasting: Incorporating events into models for smarter forecasting.
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Demand Forecasting: Incorporating events into models for smarter forecasting.
Merchant Services: Adding relevant demand causal factor insights to customer communications.
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.
One of the most powerful business lessons learned in 2020 - 2021 was relying on historical data for forecasting and pricing was far too risky. As travel recovers after the pandemic, it’s never been more important to know about demand-driving events, but tracking these manually is time-consuming and error-prone ― especially the hundreds of thousands of recurring events that change date and location each time.
Let PredictHQ track high impact events for you so you can focus on driving up RevPAR and accurate staffing. Our systems aggregate and verify events from hundreds of sources. We then rank the events by impact and provide a predicted attendance number using our proprietary models, so you know the most relevant events to optimize for, long before bookings begin flowing in. Our API can be plugged into any platform or model to start delivering value quickly.
Increase yield with packages guided by more accurate forecasting.
Reveal the events you’re missing out on by relying on historical demand only.
Optimize staffing and additional services such as food + beverage.
Factoring events into forecast models enables hoteliers to accurately anticipate demand so they can optimize packages and pricing for significant increases in RevPAR and yield.
Starfleet Research found 10% improvement in forecasting accuracy translates into up to a 3% increase in revenue generated, which post 2020, every accommodation provider needs.
You can’t prepare for what you don’t see coming.
Whether it’s an event your competitors are dominating or a major recurring event that changes location or date each time (85% of recurring events do), PredictHQ’s data reveals demand drivers most accommodation companies miss.
Labor costs make up ~50% of hotel expense budgets so discovering exactly how many workers will be needed matters.
PredictHQ's feature engineering enables teams to understand each opportunity at scale. Use Local Rank™ and relevance parameters to quantify the difference in impact of a 750 person event next door, compared to a 2,000 person event five miles away.
curl -X GET "https://api.predicthq.com/v1/events/?relevance=local_rank,location_around,start_around,q&location_around.origin=47.6062,-122.3321&start_around.origin=2020-01-01&location_around.offset=1mi&active.gte=2020-01-01&category=concerts&country=US&q=jazz"
-H "Accept: application/json"
-H "Authorization: Bearer $ACCESS_TOKEN"HQ revenue started using PredictHQ's intelligent event data and were unable to unlock 10% increase in RevPAR for their customers, while saving 90% of their team's time identifying impactful events manually.
Hotels have a product with an expiration date. When you make the wrong decisions around a big event, that can cause thousands of dollars in missed revenue.
Read HQ revenue’s Story 
Improve your forecasting models for more accurate demand predictions
Visualize event data through BI tools like Tableau or Observable to better understand impact
Get value from demand intelligence by being able to search and identify relevant events efficiently.
Know impactful events in advance and adjust prices sooner
Predict future demand fluctuations and optimize staffing schedules
Identify demand catalysts to improve supply chain efforts and inventory levels
Contact our data science experts to find out the best solutions for your business. We'll get back to you within 1 business day.
Demand Forecasting: Incorporating events into models for smarter forecasting.
Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
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