Better labor optimization with demand intelligence
Labor optimization is a major cost centre for most businesses, so innovations in this space present big opportunities for increasing efficiency and profitability. This report breaks down how intelligent event data is providing a breakthrough on the demand side of the workforce optimization equation, drawing lessons from leading QSR, retail, on-demand and hospitality companies.
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Labor optimization was never easy, but the pandemic caused major changes to demand, making it harder than ever to predict demand and staff appropriately. Leading businesses are tapping into key demand drivers: millions of people attend events every week across the USA, and businesses can identify how this will impact demand, footfall and staff requirements. This report shows you how to:
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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.
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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
