Now more than ever, companies need to know about upcoming impacful events to prepare their forecasting, staffing, inventory and pricing to match demand. Companies that relied on Eventful’s API urgently need a new source of event visibility to enable resilient and dynamic demand forecasting.
PredictHQ aggregates data from hundreds of sources and verifies the world’s events for our customers to use in forecasting, staffing and pricing models. We cover all the categories Eventful did, as well as more than just ticketed events, because unscheduled events such as severe weather and distributed events such as holidays impact demand too.
PredictHQ covers every event type Eventful’s API did and much more.
We clean, standardize and verify our demand impact data so you don’t have to.
Leading companies such as Uber, Domino’s and Amazon Alexa use our data.
Sports, concerts, conferences, festivals, expos, community events – you name it, it’s in our API. PredictHQ not only aggregates and verifies events, we also predict their attendance so you know which events to focus on.
Our customers use PredictHQ’s demand intelligence to reduce forecast errors and create more accurate staffing, inventory and pricing strategies. Because our data is standardized and enriched, your models can ingest our data immediately and start producing value. We also have 7+ years of historical data for you to work with.
Forecasting based on your company’s historical data alone no longer works. The smartest businesses are proactively seeking out external, high quality contextual data to input into their models to build highly accurate demand forecasts.
Demand intelligence is a powerful source of external data to make your forecasting models more dynamic and resilient during the pandemic and beyond. Find out how customers reduce their forecasting error rate with our data.
It is certainly important for us to get clean and consistent event data, but even more useful is to get data that is enriched with key attributes that allow our algorithms to learn patterns associated with these attributes.
Read Legion’s Story
Knowing the impact of demand causal factors like events will transform your business. The American Society of Hematology has a $45M estimated economic impact — and that's only one event in one city.
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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.