Predict demand anomalies in advance such as spikes and sharp drops to be able to adjust prices earlier to maximize revenue. Update dynamic pricing models with PredictHQ.
Dynamic pricing: Setting prices and packaging based on smarter forecasts.
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Yield optimization: Tracking incoming demand ahead of the booking curve.
Merchant Services: Adding relevant demand causal factor insights to customer communications.
Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
Most companies won’t realize a demand surge is taking place until 30-50% of availability has been snapped up. This means you’ve already lost out on additional revenue from the early bookings. If teams had visibility to live event alerts or forward-looking event data that was impactful for their business, pricing strategies could be enhanced.
Create better dynamic pricing strategies by uncovering which events drive demand and factor them into your pricing strategy. Demand intelligence helps data science teams identify historical demand catalysts based on dynamic event data so you can focus on a proactive, automated pricing approach. PredictHQ offers many ways to access and use demand intelligence. Teams can use the intelligent event API to improve forecasting or leverage Notifications to get real-time event alerts.
Establish correlation between demand and real world events
Predict future demand by incorporating intelligent event data into your models
Adjust prices sooner to maxmize revenue opportunities
Establish correlation between historical demand anomalies and intelligent event data with PredictHQ. Once correlation is established, you can identify the event categories that impact your business the most.
Identify which upcoming events will impact your business. With our demand intelligence API, you get a single source of high quality and intelligent data to easily integrate events as features into your pricing models. You can also use Notifications to get real-time event alerts that are relevant to your business.
Events are a dynamic data set. If you don’t track events, or have static events that were manually pulled, then your pricing prediction models aren’t robust. Using demand intelligence, you’re able to adjust pricing in a more dynamic way. Improve your pricing efforts across a variety of strategies like -
Learn how customers are integrating demand intelligence into their forecasting models and seeing value.
Adding PredictHQ into data sources has improved speed of global expansion and helped achieve an average increase of 10% revenue per available room (RevPAr) for customers.
Read HQ revenue’s Story
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Dynamic pricing: Setting prices and packaging based on smarter forecasts.
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.
Predictive Analytics
Data Centralization
Inventory Management
Workforce Optimization
Demand Forecasting