• Use Cases
    • Demand Forecasting

      Uncover demand anomalies, train forecasting models and improve accuracy

    • Dynamic Pricing

      Know of demand changes in advance and create proactive pricing strategies

    • Workforce Optimization

      Anticipate demand better to create cost-efficient staffing schedules

    • Inventory Management

      Align inventory to more accurate demand forecasts to minimise waste or stockouts

    • Predictive Analytics

      Create smarter predictive analytics models that anticipate demand anomalies

    • Data Centralization

      Add demand causal factors to your data lake for smarter strategies

    • Industries
    • Customer Stories
  • Intelligence
    • Our Data Pipeline
    • Data Quality
    • Data Enrichment
    • Event Categories
    • Correlation
    • Prediction
  • Products
    • API

      A single source of truth for accurate forecasting and operational platforms

    • Beam

      An automated correlation engine to improve forecasting accuracy

    • Notifications

      Instant alerts about event changes and updates

    • Pricing
    • Control Center

      Discover, manage, and search data through a central hub

    • Search

      Search and filter our database to find the most relevant data

    • Data Exporter

      Explore our API and seamlessly download as a CSV or JSON

  • Features
    • Live TV Events

      Predict how TV viewership impacts demand

    • Aggregate Event Impact

      Understand the true event impact by aggregating events

    • Rankings

      Identify event impact based on attendance, location, and air travel

  • About
    • Our Team
    • Careers5
    • Press
    • Partnerships
    • Blog
    • Blue Yonder and PredictHQ Partne
    • Accommodation groups need high R
    • Reducing accommodation forecasti
  • Docs
    • Documentation
    • Developers Quickstart
    • Data Science Quickstart
    • Support
  • Login
  • Get Started

Demand Intelligence

  • Use Cases
  • Our Data Pipeline

Products

  • Control Center
  • API
  • Search
  • Beam
  • Data Exporter
  • Notifications
  • Pricing

Features

  • Live TV Events
  • Rankings
  • AEI
  • Our Team
  • Careers 5
  • Industries
  • Customer Stories
  • Press
  • Documentation
  • Blog
  • Support
  • Login
  • Get Started
  • Support

What are the definitions for "storing" and "caching"?

"Storing" refers to any time a copy of PredictHQ Data (e.g. responses to API requests) is retained for later use.

"Storing" is only allowed with a Premium Plan.

"Caching" refers to a specific kind of Storing where responses to PredictHQ API requests are retained for the specific purpose of avoiding repeating an identical PredictHQ API request in the future. If the retained data is used for any other purpose, at any time, it can not be considered Caching. If Caching is permitted on your plan, responses may only be cached for 24 hours to avoid the cached data becoming stale - after that a fresh request to the PredictHQ API must be made.

Support center

Control Center & Account Settings
Getting Started
Notifications
Account Management
API Plans, Pricing & Billing
FAQ
Features
  • Use Cases

    • Demand Forecasting
    • Dynamic Pricing
    • Workforce Optimization
    • Inventory Management
    • Predictive Analytics
    • Data Centralization
    • Industries
    • Customer Stories
  • Intelligence

    • Our Data Pipeline
    • Data Quality
    • Data Enrichment
    • Event Categories
    • Prediction
    • Correlation
  • Products

    • API
    • Beam
    • Notifications
    • Pricing
    • Control Center
    • Search
    • Tools
  • Features

    • Live TV Events
    • Aggregate Event Impact
    • Rankings
  • About

    • Our Team
    • Our Story
    • Careers 5
    • Press
    • Partnerships
    • Blog
    • Contact Us
  • Docs

    • Documentation
    • Developers Quickstart
    • Data Science Quickstart
    • Support
    • System Status
  • © 2021 PredictHQ Ltd

  • Terms of Service
  • Privacy
ESC