Every minute matters when a customer decides it's time to move. Have your service or inventory nearby, ready to go for all impactful events. Leading rideshare and transport companies use PredictHQ's forecast-grade data to ensure quick service and competitive advantage.
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.
Millions of people, hundreds of hot spots. And that’s just one major city, when your service covers many. With major events returning, companies need more proactive and resilient forecasting strategies that tap into the power of events, but this is complex and can not be tracked manually.
Let PredictHQ track high impact events for you. Our systems aggregate and verify events from hundreds of sources. Our models then calculate attendance for each event, as well as add missing end times and geolocation details for many events. Our API can be plugged into any platform or model so you know exactly where your services are needed, before your customers pull out their phones to book.
Stop losing trips because your assets are elsewhere.
Tailor your strategies to meet future demand.
Find clusters of smaller events that combine for big impact.
Unexpected surges in demand hit mobility companies often – but they don't need to be a surprise.
Understanding what drives your demand enables you to get your drivers or assets in the right place at the right time, reducing pick-up times and improving customer satisfaction and retention.
Knowing where demand will occur before it does is the opportunity to make your offering the most attractive.
Whether your teams shift enough assets to the location, offer incentives for passengers or drivers, or a combination of both, you can gain more market share when you predict demand better.
You already know about the major football matches and concerts - but thousands of your customers go to smaller events every day.
Tracking these and knowing when several are clustered together to cause a major spike in demand is how the best-performing transport companies thrive.
From two leading rideshare companies, to Virgin Hyperloop One and one of the world's largest automobile companies – PredictHQ's demand intelligence is swiftly become a make-or-break tool in the competitive world of transport.
Don't underestimate how much effort it takes to work with event data... Being able to rely on a company whose sole purpose is to remove the ambiguity of event data has been game-changing for us.
Read Legion’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 upload locations, 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
Ensure your network of delivery drivers is prepared and ready to go
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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