PredictHQ is a demand intelligence company that aggregates, verifies, and enriches event data to help businesses anticipate changes in demand for their products and services. By providing insights into real-world events, PredictHQ enables organizations to make informed decisions in areas such as demand forecasting, dynamic pricing, inventory management, and workforce optimization.
Key Features:
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Comprehensive Event Data:
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Diverse Event Categories: PredictHQ tracks events across 19 categories, including concerts, sports, festivals, public holidays, and unscheduled events like severe weather and airport delays.
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Global Coverage: The platform aggregates data from hundreds of sources, covering events in over 20,000 cities worldwide.
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Data Enrichment and Verification:
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Quality Assurance: PredictHQ verifies and enriches event data to ensure accuracy and relevance, providing businesses with reliable information for decision-making.
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Impact Ranking: Events are ranked by their predicted impact, allowing companies to prioritize actions based on potential demand fluctuations.
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APIs and Integrations:
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Events API: Access individual event data with context and explainability around demand.
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Features API: Obtain prebuilt machine learning features to improve forecasting models quickly.
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Demand Surge API: Identify periods with abnormal increases in attendance due to multiple events occurring simultaneously.
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Live TV Events API: Access historical and predicted TV viewership data to predict surges in demand caused by televised events.
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Products and Tools:
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Beam - Demand Analysis: Identify which event types have impacted your demand in the past to make better decisions in the future.
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Event Search: Quickly search and find millions of different events happening around the world with an easy-to-use search tool.
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Data Exporter: Easily export large data volumes in CSV or JSONL formats for seamless integration.
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Location Insights: Track events around your specific business locations to identify event impact at a glance.
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Notifications: Receive instant alerts about events impacting your business locations.
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Use Cases:
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Demand Forecasting: Incorporate event data into models for more accurate forecasting, leading to improved inventory management and staffing decisions.
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Dynamic Pricing: Adjust prices proactively based on anticipated demand surges or drops due to upcoming events.
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Marketing Optimization: Align marketing campaigns with events that drive demand, enhancing targeting and timing for better engagement.
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Operational Efficiency: Optimize workforce scheduling and supply chain operations by understanding the impact of events on demand.
Customer Success:
Companies across various industries, including retail, transportation, accommodation, and financial services, leverage PredictHQ's event data to enhance their operations. For instance, Uber uses PredictHQ to ensure the right number of drivers are available to meet daily demand, while Domino's utilizes the data to better understand daily demand across its stores.
Partnerships:
In June 2022, PredictHQ partnered with Lighthouse by BCG, Boston Consulting Group’s high-frequency data and analytics engine for real-time demand forecasting. This collaboration aims to advance the growth and utilization of demand intelligence, creating a system of more accurate, real-world-aware forecasting and planning.
Conclusion:
PredictHQ empowers businesses to anticipate and respond to demand fluctuations by providing enriched and verified event data. By integrating this intelligence into their operations, companies can make proactive decisions that enhance efficiency, optimize resources, and capitalize on opportunities presented by real-world events.
