Video: Global Demand Intelligence for Data at Hyperscale
Tracking demand anomalies is a complex yet critical element of accurate demand forecasting, which PredictHQ learned firsthand. The company was founded on the realization that companies across the globe need more than just event data – they need demand intelligence.
PredictHQ decided to go event-driven – allowing for true elasticity, the ability to scale into zero, and quick implementation of production-grade solutions.
Join Justin Allen, Senior Site Reliability Engineer at PredictHQ and Viral Shah, Senior Solutions Architect at AWS, to learn how PredictHQ powers actionable demand insights, and the story behind how they architected for global success, all in just 5 minutes.
Featured Speakers
Justin Allen
Senior Site Reliability Engineer, PredictHQ
Viral Shah
Senior Solutions Architect, Amazon Web Services
Customer Stories
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
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PredictHQ has supplemented incomplete data sets, including unticketed events and cancelled events, to power pricing strategies and operational decisions.
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Demand forecasting: Incorporating events into their Antuit-built models to better understand demand across 9600 stores.
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Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
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Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
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Event visibility: Available in Zartico’s platform enabling deeper insight and smarter decisions.
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Pricing: A key source of intelligence for the Lighthouse platform, enabling smarter pricing.
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Labor optimization: Enriching the Legion Technologies platform, used by retailers to reduce labor inefficiencies.
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