Webinar: Serving data in new ways for the QSR industry
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Event data drives accurate forecasting, which directly impacts the customer experience. When hungry customers come to your stores and you’re fresh out of the best-selling menu items, they’ll seek out other options. Visibility into event-based demand insights makes it easy to stock up on fast-moving items, and schedule enough staff to handle periods of high demand – all while the competition hasn’t yet caught onto the many ways events are driving local demand.
Learn more about how to use event data to deepen insights, optimize your supply chain, and create new business opportunities in the exclusive webinar hosted by Mike Leone, Senior Analyst at ESG; Miriam McLemore, Director of Enterprise Strategy and Evangelism at AWS; and PredictHQ’s very own Chief Strategy Officer, Richard Bray.
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Featured Speakers
Richard BrayChief Operating Officer
Miriam McLemoreDirector of Enterprise Strategy and Evangelism, Amazon Web Services (AWS)
Mike LeoneSenior Analyst, ESG
Demand Forecasting: Incorporating events into models for smarter forecasting.
Customer Stories
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Customer stories
PredictHQ has supplemented incomplete data sets, including unticketed events and cancelled events, to power pricing strategies and operational decisions.
Customer Stories
Demand forecasting: Incorporating events into their Antuit-built models to better understand demand across 9600 stores.
Customer Stories
Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
Blog
Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
Customer stories
Event visibility: Available in Zartico’s platform enabling deeper insight and smarter decisions.
Customer Stories
Pricing: A key source of intelligence for the OTA Insights platform, enabling smarter pricing.
Customer Stories
Labor optimization: Enriching the Legion Technologies platform, used by retailers to reduce labor inefficiencies.
Customer Stories
