New Feature
See the latest PredictHQ product and features in the July Quarterly Product Release
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Solutions
Use Cases
Demand Forecasting
Improve your AI/ML forecasting models for more accurate predictions
Smarter AI Models
Use event data to enable your AI models with contextual real-world data
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 event data
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
Industries
Accommodation
Aviation
Consumer Packaged Goods
Leisure, Travel & Tourism
Parking
QSR
Retail
Transportation & Delivery
Products
Available via Web Applicaion
Event Search
Search for upcoming events happening at a location using a selected date range to improve planning
Beam - Demand Analysis
Quickly unlock and report on what events are impacting your demand by location with our user-friendly interface
Event Trends
Predict your busiest days in advance and view daily event statistics to identify trends
Location Insights
Add and track your locations to identify future event impact most relevant to your business
Notifications
Make smart decisions faster with relevant real-time alerts about events, including event changes
Available via API
Events API - Discovery
Access invidual events through a single API that provides context and explainability around demand
Beam API - Demand Analysis
Integrate our demand analysis API into your own environment to adapt your models at scale
Features API - Model Training
Access forecast-ready prebuilt intelligence and features via API to enable your teams to train models rapidly
All APIs
All Features
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Tutorials by Use Case
AWS Data Exchange
Snowflake Data Share
Notebooks
Attended Events Notebook
Non-Attended Events Notebook
Feature Engineering Guide Notebook
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Resources
Customer Stories
The largest companies in the world leverage PredictHQ
Blog
Explore thought leadership, product updates and more
Event Spend Calculator
Quickly calculate the spend generated by nearby events
Loop - Customer Feedback Tool
Provide feedback about our events
Support
Frequently asked questions, guides and more
Major Events
Find upcoming events by location, venue and more
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New Features
Updates to Location Insights
Streamline your Location Insights experience with new updates to Location Insights, a feature in our Web Application (Control Center),...
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Data
New Features
Feature Engineering
Feature engineering guide available in PredictHQ technical docs
The goal of the Feature Engineering notebook is to give data science teams a step-by-step guide and hands-on experience querying different...
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Data
New Features
Quarterly release
umbrella events
Umbrella events power accurate predicted attendance outputs
The PredictHQ umbrella events feature generates families that automatically link children events with their related parent. Learn more...
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News
Free plan: access PredictHQ data for free, forever
Sometimes, the quickest way to learn about a product is to just start using it. That is why we’ve chosen to open up access to our platform...
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News
CPG
retail
Release: SymphonyAI Retail CPG Partners With PredictHQ To Improve Supply Chain Demand Forecasting AI Accuracy
Customers of SymphonyAI Retail CPG Supply Chain Demand Forecasting AI will benefit from more timely, accurate forecasting results through...
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Parking businesses
Partnerships
3 steps to boost parking sales with event partnerships
With reliable visibility into location-based event data, parking operators such as SpotHero and ParkMobile know about demand-impacting...
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How to
Machine learning
The technology behind recurring events
Recurring events is a critical tool that improves demand forecasting and planning for PredictHQ users.
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Data
How to
QSR
Big data integration techniques for QSRs
Data integration is a crucial step for quick serve restaurants to achieve operational efficiency – and to streamline collaboration...
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Quarterly release
New Features
Easily access events data with improvements to our Exporter
We’ve made a number of improvements to our Exporter to make it easier for you to explore the data and to get it into your own tools....
More
Quarterly release
New Features
Save time with new location and time fields in the Events API
We’ve added several fields to the Events API to enhance location information and date and time handling, making it easier for you to...
More
Quarterly release
New Features
demand impact patterns
Boost forecasting accuracy with industry-specific Demand Impact Patterns
Demand Impact Patterns model consumer behavior based on events specific to your industry. We’ve now expanded this feature to additional...
More