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Accurately identify the geographic area impacted by events that do not happen at a specific location or venue. Events such as hurricanes, marathons, and parades cover more than just a point on a map and can now be tracked using Polygons.
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.


"geo": {
"geometry": {
"coordinates": [
[
[ -92.55, 30.24 ],
[ -92.539, 30.189 ],
[ -92.6, 30.04 ],
[ -92.75, 30.04 ],
[ -92.66, 30.25 ],
[ -92.55, 30.24 ]
]
],
"type": "Polygon"
}
},

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%.
Knowing the impact of incoming events will transform your business. RideLondon brings 280k people and $32 million to the city each year - and that's only one event.
Contact our data science experts to find out the best solutions for your business. We'll get back to you within 1 business day.