Accurate staffing recommendations is a top priority for Human Capital Management businesses. Using external intelligence to enhance these predictions will improve business outcomes for your customers and grow your business.
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.
Forecasting labor has traditionally relied almost exclusively on historical data to predict future demand. Yet events are known drivers of demand and they need to be factored in also to avoid being unprepared for costly anomalies. Yet knowing which events really move the needle is hard, let alone reliably tracking such a dynamic data set.
Let PredictHQ track high impact events for you. Our systems aggregate demand impact data that will influence labor demand for smarter workforce planning. We then rank every event by impact so your models know exactly when your customers will experience both incremental (increased) and decremental (decreased) demand.
Cut down on workforce prediction inaccuracies in your offering.
Know when and where demand shifts will occur and proactively alert your customers.
Make smarter workforce planning suggestions by creating more resilient models.
Every year, businesses lose millions due to over- or under-staffing. Many HCM companies only look at internal data to create labor planning models, but ignoring events leads to inaccuracies in your predictions. By training your models to account for the impact of external factors using our demand intelligence API, you can reduce your forecast error rate and improve accuracy.
Knowing where and when demand will occur before it does is an opportunity to make your offering the most attractive in a competitive space. Our event data is enriched with intelligence and rankings, enabling your models to quantify the impact of events, individually and in aggregate. Your customers will know ahead of time when they will experience busy or slow days and make smarter scheduling, hiring, and training decision, all thanks to your platform.
Level up your platform and optimize your workforce planning suggestions. By incorporating external factors into your forecasting models, you’ll set yourself apart from competitors with more accurate insights about your customers’ staffing needs. They’ll never miss an opportunity to drive revenue while reducing operational costs.
Companies like Uber, Domino’s, and Amazon Alexa use PredictHQ's event data. Incorporating demand intelligence is a priority for any company in a competitive market.
Labor forecasts are 98% accurate, and thanks to machine learning, the forecasts continually get up to date, enabling organizations to make the best staffing and revenue decisions.
Read Legion’s Story
Improve your forecasting models for more accurate predictions
Maximize revenue by predicting demand
Know your demand in advance to optimize schedules
Forecast smarter to optimize inventory levels
Identify your demand catalysts for smarter analytics
Use intelligent event data in your data lake
Contact our data science experts to find out the best solutions for your business. We'll get back to you within 1 business day.
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.
Grocery & Supermarkets
Consumer Packaged Goods
QSR
Accommodation
Aviation
Transportation