As we enter the new normal, it’s never been more important for airlines and OTAs to know which events drives demand to capture as much as possible. Aviation companies use our data to improve the accuracy of their packaging, pricing and load factoring strategies.
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.
Airlines miss out on billions when they don't include impactful events in their plans. From sports to conferences to severe weather, events frequently cause surges or sharp drops in ticket bookings. Yet keeping on top of events is complex and dynamic, making manual tracking almost impossible – especially for the many recurring events that change location each time.
PredictHQ does the hard work of tracking events for you. Our systems aggregate events from hundreds of sources, and then verify and enrich every event. We then rank the events by impact with our proprietary Aviation Rank™ – so you know exactly which events will have impact on your routes. Our API can be plugged into any platform or model to start delivering value quickly.
Get ahead of the booking curve with advanced insight.
Quickly identify the relevant events with Aviation Rank™
Gain market share by updating your capacity.
Aviation has always been complex, but it’s more challenging than ever with international flights so disrupted. Get ahead of the booking curve – and your competition – by knowing which events will generate airline demand.
Forrester research has found that a 20% improvement in forecasting delivers a 1% improvement in revenue. Know which events impact your flights to optimize for incoming demand early.
Aviation Rank™ identifies high-impact events for airlines so your team can spend less time searching and more time steering flights.
Our intelligent event data enables your systems to prioritize relevant routes and optimize for large events you've been missing, as clusters of smaller events that add up to major impact. These clusters are impossible to track without PredictHQ.
Automated airfare hikes are an outdated technology when you can know months in advance that a route will be in demand.
Use this to increase capacity to capture greater market share, or focus on sell-through in quieter periods. This flexibility is critical, as 85% of recurring events change location and dates each time.
The way the aviation industry currently anticipates demand relies too much on manual searching and guess work by revenue analysts. Find out how Amadeus is using our data to empower their customers to make smarter pricing decisions.
Every moment matters in demand forecasting. Imagine finding out a couple of hours too late that say Coachella is scheduled for a different weekend in April than years past. That delay cost millions of dollars in a missed opportunity to update pricing and potentially more supply to reflect demand.View our customers
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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