Find out the levers you can pull to save $8.5M a year
A leading QSR customer found that reducing forecasting errors could help them save millions. Get access to these insights now and start to save.
qsr-insights
Every day, tens of millions of consumers rely on quick serve restaurants to fill them up with minimal time and fuss. But anyone in the industry knows meeting the inevitable ebbs and flows in demand is far from simple.
Not sure where to start? Businesses must rely are smart data and machine learning to achieve greater forecasting accuracy. This report will take you through everything you need to know about using smart data to reduce forecasting errors. Here’s what you’ll gain from this report:
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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
