PredictHQ

Founded by Campbell Brown in 2015

Track global events and incorporate demand variability data into forecasting models

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use PredictHQ to track global real-world events and understand how they impact customer demand across different business locations. It aggregates verified data from thousands of sources across nineteen distinct event categories, including sports, concerts, school holidays, and severe weather. Data teams can connect this event intelligence into machine learning models through APIs to improve forecast accuracy, adjust dynamic pricing, adjust staffing schedules, manage supply chain inventory levels, and minimize delivery disruptions before demand surges or unexpected drops occur.

What PredictHQ does

Query local events within a specific radius of retail storesFeed verified event signals directly into demand forecasting pipelinesCalculate predicted attendance numbers for scheduled sports matches and concertsExport event impact summaries into business intelligence dashboardsSchedule warehouse and store staff based on anticipated regional demand swingsAdjust delivery routes to avoid traffic congestion caused by severe weather or paradesVerified global event tracking across nineteen categories including conferences and sportsPre-built machine learning features formatted for immediate model ingestionBeam relevancy engine to rank events by estimated business impactAutomated event-driven forecasting models to predict demand changesREST API for automated data retrieval by business location and dateHistorical event database spanning over a decade of verified recordsForward-looking event schedules to anticipate future demand spikes and drops

Pricing breakdown

Pricing model: Book a demo

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