Aviation companies use our intelligent data to identify which events will drive demand so they can package, price and update their load factoring long before seats start getting snapped up.
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.
Airlines miss out on billions when they don't forecast the many events that cause surges or sharp drops in ticket bookings. Because events are dynamic, they are hard to track manually – especially the many recurring events that change location each time.
PredictHQ does the hard work of tracking events for you – aggregated from hundreds of sources and verified. We then rank the events by impact with our proprietary Aviation Rank™ – so you can know exactly which events will have the biggest impact on your routes.
Get ahead of the booking curve with advanced insight.
Quickly identify the relevant events with Aviation Rank™
Gain market share by updating your capacity.
Get ahead of the booking curve – and your competition – with early proactive planning.
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.
Prioritize relevant routes and optimize for perfect storms of demand: clusters of smaller events that add up to major impact. These 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Automated airfare hikes are an outdated technology when you can know months in advance that a route will be in demand.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 predictions
Maximize 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.
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