PredictHQ Blog

Demand intelligence is a new and evolving field. This blog explores how our world-leading customers are using it, product updates and insight into our data science work as well as our company culture.

What 11.1 Million Days of Demand Processed Taught Us About Global Demand Volatility in 2025

2025 was the year volatility became highly visible. Across the customers whose demand data we processed to pinpoint the impact of events on their business, PredictHQ measured 28.26% average variability. A number that explains why even mature forecasting teams struggled with “unpredictable” demand. What appears random in a spreadsheet becomes legible when connected to the underlying events shaping real-world behavior. This article unpacks the global trends, operational lessons, data-quality breakthroughs, and forecasting advances that defined 2025, expanding on the themes in our December newsletter.
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Campbell Brown
Campbell Brown
CEO & Co-Founder

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Super Bowl LX Will Drive $63M in One-Day Demand around Levi’s Stadium — Here’s Where the Revenue Will Land

February 8, 2026 will trigger one of the largest single-day demand surges in Bay Area history. PredictHQ forecasts $63,311,342 in event-driven spend tied to Super Bowl LX, flowing across accommodations, restaurants, and transportation surrounding Levi’s Stadium — on game day alone. Of that total, $51.8M is projected to hit accommodations, before accounting for the multi-day travel and event buildup across San Francisco, San Jose, and Santa Clara. Capturing this revenue will not come down to luck. It will depend on understanding where demand originates, how it moves geographically, and which event clusters amplify pricing power in the days leading up to the Super Bowl. To optimize revenue, revenue managers and leaders need data to understand where this money is coming from and how it will move across the Bay Area for a record breaking month and quarter....
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  • Demand Forecasting
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How Sports Event Data Supercharges Demand Forecasting for U.S. Businesses

Sporting events aren’t just entertainment—they’re powerful economic drivers that trigger massive demand surges across industries. From...
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  • Demand Forecasting

Get Started with PredictHQ Forecasts

Want to get up and running fast with PredictHQ’s new Forecasts API? Our new Forecasts product delivers accurate, event-aware business Watch the video from PredictHQ Sr. Data Scientist Tania, who will be walking through the sample notebook available in our documentation....
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  • Demand Forecasting
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How Can Retailers Proactively Labor Plan This Holiday Season 2025?

The holiday season is the ultimate test for seasoned retail operation leaders.  It’s a high-stakes gamble against an unpredictable surge of consumerism. You hope that your plans are accurate enough to handle the rush without running out of staff or wasting precious budget. That costly unpredictability is a choice, not a necessity, with new advancements in the technology for workforce planning and optimization...
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  • Demand Forecasting
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  • retail

Retail’s Race to 2026: Win with PredictHQ

Retailers are under significant pressure. Inflation is pushing up wages and cost of goods, while consumer expectations continue to The only way forward is modernization. But digital transformation is expensive and complex. That’s why leading retailers are turning to PredictHQ to accelerate AI adoption — and realize tangible value before 2026. We’ll explore how retailers are succeeding with PredictHQ today....
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  • Smarter AI
  • Generative AI
  • Demand Forecasting
  • Workforce Optimization

How AI Workforce Scheduling Transforms Retail Labor Management

AI-driven forecasting cuts supply-chain errors by up to 50%, transforming how retailers approach labor management. Traditional gut-feeling PredictHQ leads the industry by specializing in enriching demand forecasts with real-time event and weather data, helping retailers anticipate everything from concert crowds to storm-driven shopping surges with unmatched precision. This comprehensive guide explores four critical pillars of AI workforce scheduling: precision forecasting that eliminates guesswork, connected scheduling systems that adapt in real-time, measurable business impact across costs and service quality, and a practical implementation roadmap for retail leaders ready to transform their labor management approach....
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  • Demand Intelligence
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Why Real-World Demand Signals Are Critical to Workforce Optimization and Management

Workforce optimization (WFO) and management (WFM) transforms customer service from a cost center into a revenue engine. By aligning...
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  • Demand Intelligence
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Why the Smartest AI Models Are Using External Event Data

Machine learning is transforming how businesses forecast demand—but most models overlook a key variable: real-world events. From sudden...
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The Definitive Guide to AI-Powered Dynamic Pricing

In today’s AI-driven economy, pricing is no longer a static exercise. It’s a dynamic, real-time function of how supply, demand, and But to succeed, AI models need more than just sales history or competitor pricing—they need context. That’s where dynamic pricing signals, especially those from external events, become crucial....
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  • Demand Intelligence

Unlocking Growth: The Top External Data Sources for Demand Intelligence and AI-Driven Forecasting

In a world flooded with data, the right external insights separate market leaders from followers. Businesses leveraging external data Yet, not all data sources are created equal. Some provide generalized market overviews, while others deliver precise, event-driven intelligence that empowers businesses to act decisively. Understanding how to differentiate between these sources—and more importantly, how to integrate them effectively—is critical for companies aiming to build resilient, future-ready strategies....
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Accommodation groups need high ROI external demand data: how a global hotel chain is saving $90 million a year with PredictHQ’s data

As hotel and accommodation groups prepare for what is expected to be the “sharpest RevPAR recovery ever forecasted”, they are also...
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