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Make rapid decisions on event impact with zero development overhead. Use our intuitive event insights platform, powered by our suite of APIs, to inform your staffing, pricing, inventory and more.

Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Meeting the demands of customers and optimizing route delivery with anticipated disruptions.
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.
Pricing: A key source of intelligence for the Lighthouse platform, enabling smarter pricing.
Learn how to get set up and start tracking all events impacting your business locations within minutes
Event driven demand is unique to a location. Upload and track your locations of interest to identify event impact most relevant to your business. Once you upload a location or many locations, you get insight into event impact per individual location. PredictHQ’s Saved Locations enables you to get an accurate picture of local event impact.

Increase visibility into the millions of different events happening around the world to understand which ones will impact your business, with additional incremental or decremental demand so you can prepare. See results in a variety of ways, including a list, map or calendar view. Learn more about our searching capabilities.

Our Demand Surge tool allows you to easily find the events that will have the biggest impact on your business. You can also use the API endpoint to integrate it into models, or use our WebApp.

With PredictHQ the guesswork is gone, and we can clearly see where disruptions in delivery may arise, helping us deliver orders on time while cutting our manual research time by 50%.
Contact our data science experts to find out the best solutions for your business. We'll get back to you within 1 business day.