Factoring events into your demand forecasting improves accuracy and profitability. PredictHQ's APIs enables your models or teams to be prepared upcoming demand fluctuations, so you can make the most of them.
Demand Forecasting: Incorporating events into models for smarter forecasting.
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Demand Forecasting: Incorporating events into models for smarter forecasting.
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.
Demand forecasting has been stuck looking backwards for too long. Building strategies on last year or 2019’s transactions is meaningless, but knowing the evolving context and what is impacting each key location is hard. Yet profitability depends on being able to accurately build out accurate forecasting models that make use of forecast-grade external data.
Events drive demand. More than $1.1 trillion per year worth of demand each year in fact. Discover which event categories impact your demand, so you can turn demand anomalies into competitive advantage. Combine your historical data with PredictHQ’s seven years of forecast-grade event data and then use our API in forecasting to reduce costly errors.
Gain visibility into the external factors impacting demand fluctuations.
Use our demand intelligence API to train your models with relevant, accurate data.
Reduce MAPE and improve forecasting accuracy.
Demand forecasting requires external data, machine learning, and feature prioritization to generate accurate predictions. PredictHQ's systems capture and verify millions of events that impact businesses globally, from sports games to severe weather. Our forecast-grade data is also enriched, with predicted attendance, impact rankings and more so your models and teams can make focus on the most relevant events.
We cover 19 categories of impactful events, we’re always adding new categories that drive volatility for demand forecasting. For example Live TV events allows businesses to tap into the stay-at-home economy and understand how predicted TV viewership impacts demand.
PredictHQ's API can be plugged into any forecasting platform or model to provide context and intelligence about your demand. It is impactful for enabling event visibility, and especially powerful used in quantitative forecasting methods such as:
Revealing the drivers of demand volatility allows businesses to forecast with greater accuracy. When forecasts are more reliable, business teams can make more strategic decisions around staffing optimization, inventory management, pricing and more. This drives millions saved each year for large businesses.
For example, a leading fast food chain invested in demand intelligence quickly realized the improvements in their forecasts could result in gains of $8.5M for the year. Gain access to the four steps a QSR leader took to decrease forecasting errors by 20%.
Learn how customers are integrating demand intelligence into their forecasting models and seeing value.
Don't underestimate how much effort it takes to work with event data... Being able to rely on a company whose sole purpose is to remove the ambiguity of event data has been game-changing for us.
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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.
Visualizations & Insights
Event Visibility
Inventory Management
Workforce Optimization
Dynamic Pricing