Accurate staffing recommendations are critical for Human Capital Management businesses. Using external intelligence makes these predictions more responsive and accurate, improving business outcomes for your customers and your business.
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.
Demand forecasting: Incorporating events into their Antuit-built models to better understand demand across 9600 stores.
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.
Event visibility: Available in Zartico’s platform enabling deeper insight and smarter decisions.
Pricing: A key source of intelligence for the OTA Insights platform, enabling smarter pricing.
Labor optimization: Enriching the Legion Technologies platform, used by retailers to reduce labor inefficiencies.
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 move the needle is hard, as is reliably tracking event data in-house, which is a notoriously dynamic data set.
Let PredictHQ track high impact events for you. Our systems aggregate and verify events that will influence labor demand and your customers' needs. PredictHQ also ranks events by impact and provides a specific predicted attendance number for each, 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.
Be the industry leader that enables your customers to prepare for demand they didn't know was coming, and being able to explain why. By incorporating external factors into your forecasting models sets HCM providers apart from competitors because they have more accurate insights about their customers’ staffing needs. Enable your customers to 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 demand predictions.
Visualize event data through BI tools like Tableau or Observable to better understand impact.
Get value from demand intelligence by being able to search and identify relevant events efficiently.
Know impactful events in advance and adjust prices sooner
Predict future demand fluctuations and optimize staffing schedules
Identify demand catalysts to improve supply chain efforts and inventory levels
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.
Grocery & Supermarkets
Consumer Packaged Goods
QSR
Accommodation
Aviation
Transportation