How QSR and food retail companies use event data for workforce optimization
Labor forecasting for quick serve restaurants is high-impact and difficult to get just right. With so many factors impacting footfall and demand, it's critical to ensure you have the right amount of staff scheduled to meet demand to keep customers happy – without wasting money on surplus staff. This report explores how leading restaurant chains use event data for better staffing, and you can too.

Discover which events drive demand for QSR and fast casual dining companies, and how leading chains use event data to align their workforce optimization strategies to incoming demand, saving thousands each week with more accurate planning and forecasting.
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Demand Forecasting: Incorporating events into models for smarter forecasting.
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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.
Blog 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 OTA Insights 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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