Unexpected surges in demand hit even the most experienced demand forecasters. The sudden influx of bookings. The frantic rush to catchup and include an event in your plans and pricing. PredictHQ exists so you never miss a demand catalyst in your forecasting models.
Dynamic pricing: Setting prices and packaging based on smarter forecasts.
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Yield optimization: Tracking incoming demand ahead of the booking curve.
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.
Events drive billions in commerce in accommodation bookings. For example, IBM Think Conferences generates more than $60 million in accommodation bookings – and there are thousands of conferences that size every year. The challenge is events are dynamic and impossible to track manually ― especially the millions of recurring events that change date and location each time.
Let PredictHQ track high impact events for you. Our systems aggregate from hundreds of sources and verify half a million events worldwide each month. We then rank the events by impact using our proprietary models so you can know exactly which demand spikes to optimize for, long before bookings begin flowing in.
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 your forecast models enables you to optimize packages and pricing for significant increases in RevPAR and yield.
Starfleet Research found that a 10% improvement in forecasting accuracy translates into a 1.5 to 3% increase in revenue generated from smarter forecasts in your revenue management system.
You can’t prepare for what you don’t see coming.
Whether it’s an event that your competitors are dominating or a major recurring event that changes location or date each time (85% of recurring events do), PredictHQ’s demand intelligence reveals demand drivers most accommodation companies miss.
Labor costs make up ~50% of hotel expense budgets so discovering exactly how many workers needed each day matters.
PredictHQ's feature engineering enables teams to understand each opportunity deeply. 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 predictions
Maxmize revenue by predicting demand
Know your demand in advance to optimize schedules
Forecast smarter to optimize inventory levels
Identify your demand catalysts for smarter analytics
Use intelligent event data in your data lake
Contact our data science experts to find out the best solutions for your business. We'll get back to you within 1 business day.
Dynamic pricing: Setting prices and packaging based on smarter forecasts.
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.
Aviation
Transportation
Retail