Having the right amount of staff on hand drives profits, but no company can afford regular overstaffing. Calibrate your strategies to event-driven demand to reduce labor costs and drive up profitability.
Demand Forecasting: Incorporating events into models for smarter forecasting.
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
PredictHQ has supplemented incomplete data sets, including unticketed events and cancelled events, to power pricing strategies and operational decisions.
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.
Events impact business demand and demand predictions guide staffing levels. But understanding this concept is just the start. Real-world event data is always changing, difficult to standardize, and often messy with duplicate events and spam. This makes it challenging to factor into workforce optimization efforts.
Discover which events drive your demand so you can align staffing strategies at each location to incoming demand. PredictHQ tracks 19 event categories and you can identify the impact of events on your transactional data with our seven years of verified historical event data. Then use our intelligent event data API, which can be plugged directly into forecasting platforms and models, to identify upcoming impactful events.
Aggregate intelligent event data and establish correlation with historical demand.
Predict future demand based by incorporating relevant events into forecasting models.
Create employee schedules based on predicted peaks and dips in demand to create efficiencies.
A demand surge is a significantly higher-than-usual spike in the amount of people attending events within a given location and date range. Easily identify these peaks in demand with our Demand Surge feature, that can be used both in our web application or via Demand Surge API. Quickly scan a period of 90 days for abnormal increases in attendance for a given area so you can better prepare your workforce.
After correlation is defined, businesses gain visibility into which event categories – such as conferences or concerts – impact their business the most. Use the demand intelligence API to train your forecasting models to predict future demand based on the events most relevant to your business. Or set up event alerts with Notifications.
Create more efficient staffing schedules directly aligned with predicted demand to deliver an ideal customer experience without overspending on labor. Workforce optimization is key to driving down overhead costs and creating efficiencies in your day-to-day operations.
Learn how customers are integrating demand intelligence into their forecasting models and seeing value.
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 Data teams rely on high-quality data to understand market conditions across all industries. Demand intelligence is designed to seamlessly plug into current forecasting models and improve the output
Use demand intelligence in your yield management strategy to make the most of your occupancy and ensure higher revenue.
Identify demand drivers to package, price and update load factoring long before seats start selling.
Improve accuracy for CPG demand planning to enhance supply chain and product distribution.
Improve your forecasting accuracy for grocery store inventory.
Enhance staffing predictions and workforce optimization strategies with external demand data.
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.
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Site Selection
Delivery Optimization
Visualizations & Insights
Event Visibility
Inventory Management
Dynamic Pricing
Demand Forecasting