Introducing Forecasts: Closing the Loop on Event-Driven Predictions
When we first started building PredictHQ, we were laser-focused on one thing: helping businesses understand the impact of real-world events on their business. Over the years, we’ve built the world’s only platform that can predict what events will impact anything from a cafe to an airline, but one gap remained—how do customers immediately validate and quantify this impact?
Rob and I would always state - “We will never be a forecasting platform” - this is still true… kind of. We have identified an opportunity to better support our customers. The simple fact is, we are the only business in the world that can predict what events will impact a business, so very few people have experience in integrating this into a forecast. That’s why we have developed - Forecasts - a production ready forecast model with event features built in, increasing accuracy by up to 30%, generating millions in ROI, and saving customers months of toil.
This isn’t about replacing what companies already do. It’s about making it exponentially better.
Why Now? The Changing landscape of forecasting
The landscape has shifted dramatically over the past two years. Industry leaders like Google, Microsoft, Snowflake, Databricks, Qlik, AWS, and others have realized that to extract real value from the vast amounts of data they process, they must move beyond passive analysis and into demand forecasting. This shift has not only created new opportunities for businesses to leverage predictive capabilities, but it has also lowered the barrier to entry—ensuring forecasting is no longer confined to specialized data science teams.
As forecasting becomes more accessible, companies are moving fast to integrate real-world demand factors into their models. But accessibility alone isn’t enough. Businesses need forecasting models that actually account for real-world impact, not just historical trends. This is where most existing approaches fall short.
At PredictHQ, we’ve spent years building the foundational intelligence needed to bridge this gap. AI’s rapid evolution has only accelerated our ability to deploy data, intelligence, features, and models wherever our customers need them—without forcing them into rigid, proprietary ecosystems.
We’ve always rejected the idea that customers should be locked into restrictive platforms or rely on black-box models they can’t interpret or control. Instead, we’ve designed Forecasts to be transparent, flexible, and platform-agnostic, ensuring businesses can validate event-driven demand shifts with precision—whether they use SageMaker, Snowflake, o9, Blue Yonder, or a custom-built forecasting stack.
The result? Forecasts doesn’t have to replace your existing models—it makes them smarter, faster, and more accurate. It’s the missing piece that enables businesses to integrate event-driven demand seamlessly, unlocking measurable ROI without the usual months of manual effort.
Why We Built Forecasts
For years, we’ve seen the same challenge from our customers: integrating event-driven demand factors into forecasts is difficult. Traditional models don’t know how to handle events, nor do they have the unique features required to improve accuracy, leading to missed opportunities and millions in lost potential upside.
The simple reality? We are the only company that can predict which events will impact a business, at scale and to do this we have had to create many novel capabilities to ensure success:
Predicting the attendance and spend of an event as critical filtering and forecasting attributes
Predicting the radius at which you should search for impactful events specific to an industry
Predicting the end time of an event so an Uber, Lyft or even Waymo are there on time
Predicting the demand impact pattern so you can understand the shape of demand
When you step back and look at what is required to successfully deploy this, we still identified one key piece of friction - a lot of customers didn’t want to have to build a new forecast from scratch, but they wanted access to all our capabilities that have been honed over the years to generate the greatest ROI.
So, we built Forecasts.
With Forecasts, businesses can:
Instantly quantify how events affect their demand at a hyper-local level. No more guesswork.
Increase forecast accuracy by up to 30%. This translates into millions in unlocked revenue.
Save months of development time. No need to manually integrate event-driven demand factors—it’s already done.
What Forecasts Enables
The launch of Forecasts doesn’t just fill a gap—it completes our ecosystem. It allows customers to instantly validate the value of event-driven forecasting in an open, flexible, and scalable way.
But it’s also just the beginning.
With Forecasts in place, we can now move toward Predicted Actions—guiding businesses not just on what will happen, but what they should do about it.
For example, imagine a restaurant receiving this recommendation:
“The Sabrina Carpenter concert will increase demand at store #174 by 37% on Feb 26th. This event finishes at 9pm but your store closes at 7pm. Consider staying open for an additional 3 hours, with 2 more staff to capture between $6,500 and $8,000 in gross sales.”
This kind of recommended action is only possible because we’ve built the foundational technology to understand and quantify event-driven demand shifts at an unmatched level.
A Platform-Agnostic Approach
We know businesses use different forecasting systems depending on their use case and industry—some leverage Snowflake, Blue Yonder, Kinaxis, AWS, or now Qlik, while others have custom-built models. Forecasts is designed to work anywhere, whether you’re starting from scratch or enhancing existing forecasts.
Instead of forcing customers into a closed system, we empower them to use our event-driven capabilities wherever they need it. Whether you’re a retailer optimizing inventory, a hotel managing room pricing, or a logistics company forecasting inventory—Forecasts ensures real-world impact is accounted for in your decision-making.
The Road Ahead
The launch of Forecasts is a major milestone for us, but it’s not laying the foundations for so much more..
Up next? We’re continuing to develop ways to bridge the gap between demand predictions and recommended business actions, ensuring our customers can make the most of the insights they receive.
For years, we’ve focused on unlocking the power of event-driven demand shifts—and now, with Forecasts, we’re enabling businesses to fully harness and act on this intelligence like never before.
This is part of a bigger plan… more soon.
