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Ground your decisions and AI systems in verified real-world conditions - across any location, any industry, at any scale.
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Real-world context on the events that shift demand, powering your decisions, forecasts and automations.
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Prebuilt Machine Learning features that boost your forecasting models and results.
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Event-driven forecasts at your fingertips, for precise demand planning.
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APIs
Access the full depth of PredictHQ's real-world intelligence through our API-first platform — built for reliable, scalable integration.
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Ask natural language questions about real-world context and how PredictHQ maps to your use case, compressing days of exploration into a single conversation.
Beam
Identify which real-world conditions materially affect your business - making PredictHQ's intelligence specific to you.
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Connect PredictHQ's real-world context directly to AI agents and LLM-powered workflows at inference time.
Predicted Impact Area
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Automatically determines the geographic catchment area around each location where real-world conditions are likely to influence demand.
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Demand Forecasting
Quickly achieve a minimum 10% improvement in Forecast Accuracy
Smarter AI Models
Give your AI models trusted real-world context for better inference and decisions
Inventory Management
Identify demand catalysts to improve supply chain efforts and inventory levels
Targeted Marketing
Unlock better targeting and timing for your ad campaigns with privacy-safe real-world context
Dynamic Pricing
Know impactful events in advance and adjust prices sooner
Workforce Optimization
Reduce labor costs and improve profitability by scheduling around events
Visualizations & Insights
Visualize event data through BI tools like Tableau to better understand impact
Delivery Optimization
Ensure your network of delivery drivers is prepared based on demand from events
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PredictHQ is trusted and embedded by some of the world's largest and most complex enterprises
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Generate a report that shows you which events impact your business and what to do about it
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Blog
Event Data Api
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Blog posts about event data api
#event data api
Demand Intelligence
How to predict demand surges (and drops) you can prepare for in inflationary times
With record high US inflation likely to continue for the foreseeable future, businesses are adjusting their plans and seeking efficiencies....
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Demand Intelligence
State of Events
There will be $5 billion worth of demand-driving events in March 2022
There are more than 12,000 events across the USA in March 2022 that will drive economic spending. To share the scope of the opportunity...
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Data
Demand Intelligence
How to build an event data source: the 8 most important steps to ensure it’s accurate and useable
Event data is a highly impactful source of intelligence, yet a complex one to wrangle into a usable format. In this post we walk through...
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News
Release: PredictHQ Partners with Snowflake to Make Demand Intelligence Accessible
PredictHQ, the demand intelligence company, has announced a partnership and integration with Snowflake, the Data Cloud company. Snowflake...
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News
New Features
Demand Intelligence
Introducing PredictHQ Notifications: Instant alerts about anomalies impacting your demand
As COVID-19 began spreading across the globe, it was clear everything was about to change. Watching it spread and the chaos it was...
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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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QSR
Stop Guessing Game Day: How QSR Leaders Use Demand Intelligence to Turn Sports Chaos into Predictable Revenue
For the modern Quick Service Restaurant (QSR) operator, the sports calendar creates constant uncertainty when it comes to predicting...
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Demand Intelligence
Partnerships
News
Expedia Group Unlocks Sports Tourism Demand Forecasting Through PredictHQ Partnership
Ahead of this year’s Big Soccer Tournament: - Expedia Group becomes PredictHQ’s first deeply integrated online travel agency (OTA)...
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Smarter AI
AI's Real Cost Isn't Training. It's Inference.
For years, the AI conversation centered on training. Bigger models. More GPUs. Larger datasets. Massive capex headlines. But as enterprise...
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