Forecast Demand with Real-World Context, So You Can Act Early.

Ground forecasts in real-world context to explain demand variability and predict event impact. Avoid missed revenue, overstaffing, and operational inefficiency.

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The Missing Piece to your Model

We embed verified real-world context into your models so they can explain and anticipate demand variability at decision time.

  • PRODUCTION-READY

    PRODUCTION-READY

    Features API lets you deploy forecast-ready features directly into your models within a matter of minutes.

  • PLATFORM-AGNOSTIC

    PLATFORM-AGNOSTIC

    Integrate our real-world context features across any forecasting models or platforms.

  • PROVEN AT SCALE

    PROVEN AT SCALE

    Trusted in production by leading enterprises to improve demand forecasting and provide explainability.

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The Challenge

Traditional Forecasting Falls Short

Most forecasting models rely on internal data and historical patterns. But today’s demand is volatile, driven by thousands of real-world events, many untracked and unpredictable. Without external context, forecasts miss the true causes of spikes and slumps. This exposes businesses to missed revenue, unnecessary costs, and operational risk.

Our Solution

Make Demand Forecasting Adaptive to Real-World Change

Embed verified real-world context across the forecasting lifecycle, from training traditional ML and foundation models to ensure they learn how events drive demand, through to inference where predictions continuously adapt to real-world conditions. This approach requires:

  • Comprehensive, enriched real-world event data
  • ML-ready features engineered for forecasting
  • Automated analysis for relevance and impact, isolating what matters most for each location
  • Seamless integration with existing AI, ML, and analytics workflows
  • Ability to benchmark against, or deploy, a calibrated event-aware forecast

01

Discover

Gain context and explainability from the external factors causing demand volatility.

02

Train

Enhance traditional and foundational models with calibrated real-world context.

03

Improve

Reduce MAPE, improve forecast accuracy, and increase decision confidence in production.

01

Unlock the external factors causing demand volatility

Accurate demand forecasting requires external data, machine learning, and feature prioritization. PredictHQ Events captures and verifies millions of impactful events across 19 categories, from sports and concerts to severe weather and local disruptions around the globe. Each event is enriched with proprietary features like predicted attendance, impact rankings, and precise location detail, providing explainability for every demand shift.

Use Beam, our patented relevancy engine, to pinpoint which events have historically moved your demand at each location. With Events and Beam, your teams can understand which events impact the demand of your specific business, cutting through noise and uncertainty.

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02

Accelerate AI-enabled demand forecasting

PredictHQ Features delivers 100+ ML-ready features that embed verified real-world context directly into forecasting models. Built on our real-world context platform, these engineered features transform global real-world activity into structured signals that models can use immediately.

Integrate via API with any forecasting tool to enhance model training and accuracy. Move quickly, adapt continuously, and explain your forecasts. Our APIs are especially powerful in quantitative methods such as:

  • Time series models
  • Regression analysis models
  • Machine learning models
  • Deep learning models
  • Causal models

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CurlPython
curl -X GET "https://api.predicthq.com/v1/events/?q=Coachella&category=festivals&rank.gte80&country=US"
  -H "Accept: application/json"
  -H "Authorization: Bearer $ACCESS_TOKEN"
03

Improve forecast accuracy and reduce error rates

Greater real-world context leads directly to more accurate demand forecasts. PredictHQ’s Forecasts applies real-world context and engineered features to deliver automated, event-aware demand forecasts.

Teams without an existing forecasting system can quickly generate production-ready forecasts, while teams with existing models can benchmark their forecasts against context-aware predictions powered by PredictHQ.

By generating forecasts built upon real-world data, intelligence, and advanced relevancy analysis, you unlock new levels of accuracy and agility across staffing, inventory, and pricing strategies.

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Identify the most impactful events for your business

Level up your forecasts with Beam

Beam runs feature importance tests, time series decomposition, and many more, on top of your data - to identify and help you leverage your most impactful demand drivers.

Beam can automatically generate a unique feature recipe for each location or a group of locations.

  • Get actionable insights
  • Understand feature importance
  • See potential revenue uplift

From Model Development to Production Decisions

A simple, proven workflow to embed real-world context into forecasting models and AI systems.

Over $7 Trillion of Demand Processed

We know which events will impact your business. Fact.

PredictHQ is the only platform in the world that uncovers the impact that real-world events have on business, at scale. Shaping the next generation of real-world AI/ML models, and unlocking Billions in potential upside.

  • $7.2 Trillion
    of demand data correlated to
  • 127 Million
    events via
  • 1.19 Billion
    predictions, across
  • 0
    countries, territories, and special areas, unlocking
  • $150 Billion
    in potential ROI
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Customer Stories

Take control of demand volatility at scale

Learn how customers across industries are integrating predictive demand intelligence into their forecasting, workforce optimization, inventory management, marketing, and more.

Customer Stories
Erica Quintana
Erica Quintana
Manager, Marketplace Operations, 
Instacart
Our customers love knowing we have their best interests in mind and are helping them have a worry-free experience before an event-driven disruption comes to their neighborhood!
Read Instacart's Story

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