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#data science

  • How to

Use intelligent event data to drive down your forecasting error rate by 10-20% in weeks

Accurate demand forecasting at scale requires machine learning models and ruthless prioritization of the features you build into the...
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  • Data
  • Demand Intelligence
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Coronavirus Recovery: How We’re Calculating Our COVID-19 Recovery Rate and Ensuring Accurate Predicted Attendance for Conferences, Sports Games and More

Data scientists all over the world are hard at work in coronavirus recovery teams trying to identify the rate their company’s demand...
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  • Demand Intelligence
  • Data

Empowering AI with Real-World Context

In the rapidly evolving landscape of artificial intelligence (AI), the key to smarter decision making lies not just in the training...
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  • Data

How to make event data more reliable for forecasting models

Data scientists spend at least 40% of their time locating, cleansing and standardizing data for predictive modeling and data-driven...
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  • Demand Intelligence
  • How to

Labor Optimization: Discover the Demand Signals in Historical Data and Improve Forecasts

Hiding beneath the trends in your historical transaction data is a powerful source of intelligence for labor optimization. Once you...
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  • Demand Intelligence
  • How to

Unlock Events to Transform Profitability: How Retail Companies use PredictHQ

The last few decades have been a period of rapid and tumultuous change for retail and in particular food retail companies. It’s never...
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  • How to

Discover Your Catalysts of Demand: How Accommodation Companies use PredictHQ

There are so many factors to managing your occupancy rates and ensuring your properties are as profitable as they can be. Maximizing...
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  • Demand Intelligence

How PredictHQ Demand Impact Patterns work

You can’t power a forecasting model or a scalable demand planning organization on anecdotal knowledge. You need information — you need...
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