PredictHQ

San Francisco,  CA 
United States
https://www.predicthq.com/
  • Booth: 1619

PredictHQ, the demand intelligence company, empowers global organizations to anticipate changes in demand for their products and services. PredictHQ’s demand intelligence API aggregates events from hundreds of sources and verifies enriches and ranks them by predicted impact so companies can proactively discover catalysts that will impact demand. With PredictHQ, businesses gain a leg up on the competition and remain confident in their ability to meet customers’ ever-changing needs.

 Products

  • Notifications
    Stay ahead of demand volatility with real-time event alerts...

    • Be the first to know when event status’ change or even when something unforeseen happens (e.g. disasters, location change) so that your team can make quick decisions and ensure you’re not missing out on revenue
  • Beam
    The automated correlation engine to accurately reveal the events that drive demand for your business...

    • PredictHQ converts unstructured, dynamic event data into a workable dataset, allowing data science teams to use intelligent event data in machine learning models. PredictHQ Beam combines and correlates our event data with your transactional demand data.

  • Event API
    Access your demand causal factors in a single API. Breakthrough insight for more accurate demand forecasting, operational platforms, event calendars, and much more...

    • Events vary in impact and frequently cluster to create the perfect storm of demand. We aggregate and verify millions of events with the Features API, both historical and future, so data science teams don’t have to waste time searching and cleaning data. This is powerful context for your forecasting models that drives more accurate results.PredictHQ’s proprietary ranking technology systematically sorts through thousands of events each day to identify which will impact your bottom line the most. Focus on the events that matter with PredictHQ Rank™, Local Rank™, and Aviation Rank™.

Categories

Big Data
  • Forecasting
    • Information Technology
  • Business Intelligence
  • Data Analysis of Business Information
    • Merchandising
  • Forecasting
  • Retail Revenue Optimization
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