Leverage existing business intelligence or visualization tools to surface intelligent event data and inform your teams of the impact of events.
Choose any location globally to quickly calculate the spend generated by nearby events.
Predicted Attendance
Attended Events
Suggested Radius
Predicted Event Spend (USD) - All Industries
Accommodation
Restaurants
Transportation
Machine learning and AI models are powerful tools in our data-driven business landscape. However, if they are only being powered by static datasets they can leave these models blind to the real world. Events such as severe weather, disasters, concerts, and holidays, constantly disrupt historical demand patterns, rendering forecasts inaccurate and decisions suboptimal.
PredictHQ’s AI-powered ecosystem bridges the gap between static models and the dynamic world. Our powerful combination of real-world event data, pre-built features, and demand analysis capabilities adds a dynamic layer of contextual data into your AI models. This allows them to better understand and predict how external factors such as conferences and holidays impact everything from surges in bookings to supply chain disruptions.
Get greater relevancy and take the guess work out of what is impacting your demand with Beam. Quickly perform a demand analysis collectively or by individual location.
Rapidly and cost effectively prove events impact your locations of interest with our Features API built on live real-world data, which is better than synthetic data.
Once you have proven the accuracy of events on your demand, you can now seamlessly bring in specific events for more granular explainability on demand patterns.
Contextual data trains your models to adapt to changing conditions and unforeseen events so you can respond to real-world disruptions and opportunities in real-time. The ability to train your models on unique data and intelligence is reshaping the competitive LLM landscape. PredictHQ curates a massive dataset of 19 categories of events happening across 30,000+ cities worldwide. This data is verified and enriched with details such as:
- Event type (concert, conference, sporting event, and more)
- Location
- Predicted attendance
Our predictive demand intelligence seamlessly integrates with your existing AI infrastructure, so you can leverage the world’s most trusted source of intelligent event data through a layered approach depending on your needs:
- Beam API: Integrate our demand analysis API into your own environment to adapt your models at scale
- Features API: Provides pre-built machine learning features based on live events, saving development time.
- Events API: Enables detailed analysis of specific events impacting your business.
Customize your data access based on your existing infrastructure and development goals. You can start with Features API as the foundation and add layers such as the Events API for a more comprehensive understanding of how events impact your business.
As LLMs become more embedded in digital products and services, the demand for high-quality, context-rich data will only grow, making the role of intelligent event data increasingly vital. This is because contextual data gives your AI and ML models a deeper understanding of the world around them, translating into increased agility and responsiveness for your business, unlocking operational efficiencies and new growth opportunities.
Consider a retail chain that uses AI to forecast demand. By integrating PredictHQ, their AI models becomes context-aware, adjusting forecasts based on upcoming local events predicted to impact a specific location. This enables more accurate demand planning, leading to better inventory management and customer satisfaction.
AI models don’t operate in a vacuum. With a deeper understanding of the world around them, your AI models can power more informed decisions. Companies across industries are using this data to unlock higher levels of model accuracy and revenue.
Offer limited-time discounts or a special menu item for customers attending a concert or sports event nearby
Use demand intelligence in your yield management strategy to make the most of your occupancy and ensure higher revenue.
Discount fares for travel to a concert or sports event, or recommend experiences related to a particular event
Create event-based promotions and deals, such as a discount on game-day merchandise for a local sports team's home game
Contact our data science experts to find out the best solutions for your business. We'll get back to you within 1 business day.
Demand Forecasting: Incorporating events into models for smarter forecasting.
Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
Smarter AI Models
Inventory Management
Delivery Optimization
Targeted Marketing
Workforce Optimization
Dynamic Pricing
Demand Forecasting
Event Visibility