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Maximizing Business Impact with PredictHQ Control Center

Easily Plan for Demand Fluctuations

PredictHQ's Control Center offers businesses an easy-to-use event insights platform to inform staffing, pricing, inventory, marketing, and operations decisions. With the ability to track all events impacting business locations within minutes, users can anticipate demand fluctuations and prepare accordingly.

Empowering Business Owners, Analysts, and Managers

Business owners can search for events affecting their business to proactively manage inventory, staffing, and marketing spend. Business analysts gain up to 12 months of future visibility into how upcoming events will influence their supply chain, inventory, pricing, and more. Revenue and operations managers can prepare for demand surges or dips well in advance, ensuring they are never caught off guard.

Location-specific Insights

PredictHQ allows users to understand the impact of events on specific business locations. By uploading and tracking locations of interest, businesses can gain insights into event impacts per individual location. This location-specific data provides an accurate picture of local event impacts, enabling businesses to make informed decisions based on real-time information.

Search for Events and Demand Surges

The platform offers an easy-to-use search tool to find events worldwide that will impact your business. Users can view results in list, map, or calendar view formats. Additionally, the Demand Surge tool helps predict the busiest days in advance, allowing businesses to prepare for significant impacts on their operations. Integration with models via API endpoints or the Control Center web application streamlines the process of analyzing and responding to demand surges.

Customer Success Stories

Many leading companies across industries like accommodation, transport, and retail have successfully utilized PredictHQ's intelligent event data. From labor optimization to demand forecasting, dynamic pricing, and supply chain optimization, businesses have achieved tangible results by leveraging event intelligence. Customer testimonials, like that of Thomas Joseph, Head of Data Science at Legion, highlight the value of PredictHQ's data in enhancing business strategies and outcomes.

Diversified Use Cases and Features

PredictHQ caters to a wide range of use cases including demand forecasting, AI models, inventory management, targeted marketing, dynamic pricing, workforce optimization, and more. With a suite of products like APIs, location insights, notifications, and event search, the platform empowers businesses to make data-driven decisions. Various features such as demand impact patterns, event categories, live TV events, and predicted attendance enhance the analytical capabilities of users.

Comprehensive Documentation and Support

PredictHQ provides extensive documentation, tutorials, and resources for developers and data scientists to maximize the value of the platform. With a focus on data quality, enrichment, correlation, and prediction, users can leverage the platform's capabilities effectively. Integration options with tools like Tableau and AWS Data Exchange further enhance the usability and versatility of the platform.

Empower Your Business with PredictHQ's Partner Program

Why Partner with PredictHQ?

PredictHQ offers a robust partner program that promotes collaboration, drives mutual business goals, and creates a supportive ecosystem for partners to achieve success. By joining the program, partners gain access to dedicated resources, exclusive support functions, and a preview of upcoming product features. This collaboration enables partners to offer more comprehensive solutions to their clients.

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Enhancing Business Planning with PredictHQ's Event Visibility Solutions

The Challenge of Tracking Events at Scale

Tracking events at scale poses a significant challenge for planners and organizations aiming to understand shifts in demand. Without comprehensive event data, businesses struggle to anticipate upcoming demand accurately, leading to inefficient operational planning. In the United States alone, over 21,000 impactful events occurred in February 2021, highlighting the vast array of events that can impact businesses. Many organizations lack visibility into these events, creating a substantial planning and operational gap.

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Unlocking Demand Intelligence with PredictHQ's Live TV Events Data

Improve Forecast Accuracy with Live TV Events Data

PredictHQ's Live TV Events data empowers businesses to better predict surges in demand driven by televised events, particularly sports. By incorporating this unique data set into forecasting models, companies can enhance forecast accuracy and make data-driven decisions. Leveraging both historical and predicted TV viewership data, businesses can significantly reduce forecasting error rates, as demonstrated by customers like Dominos who have benefited from the incremental value provided by PredictHQ's predicted viewership data.

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Empowering AI Models with Real-World Context: A Deep Dive into PredictHQ's Solution

The Challenge of Static AI Models

In today's data-driven business landscape, machine learning and AI models are powerful tools. However, relying solely on static datasets can result in inaccurate forecasts and missed opportunities. These models often overlook real-world events such as severe weather, disasters, concerts, and holidays, which constantly disrupt historical demand patterns, leading to inaccurate forecasts and suboptimal decisions.

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Harness Demand Intelligence with PredictHQ's Data Exporter: Transform Your Business with Real-World Event Insights

Powerful Exporter for Informed Decision-Making

PredictHQ's Data Exporter is a potent tool that allows businesses to tap into the impact of real-world events on demand planning. By leveraging this powerful exporter, companies can ensure their data lake is always up to date, enabling them to make informed, data-driven decisions. Through comprehensive and accurate data insights, businesses can identify demand anomalies and adjust their strategies accordingly.

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