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.

Take control of demand volatility
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 on 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:
- How to reveal the drivers of demand volatility An increased flexible and dynamic approach to forecasting enables you to optimize your operations.
- How to forecast demand with greater accuracy Improved accuracy enabled a leading fast casual chain to improve staffing, supply chain and revenue operations.
- How to reduce forecasting errors Gain access to the four steps a QSR leader took to decrease forecasting errors by 20%.
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Powered by PredictHQ
- Customer Stories
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Customer storiesMeeting the demands of customers and optimizing route delivery with anticipated disruptions.
Customer StoriesDemand forecasting: Incorporating events into their Antuit-built models to better understand demand across 9600 stores.
Customer StoriesAmazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
BlogDemand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
Customer storiesEvent visibility: Available in Zartico’s platform enabling deeper insight and smarter decisions.
Customer StoriesPricing: A key source of intelligence for the Lighthouse platform, enabling smarter pricing.
Customer StoriesLabor optimization: Enriching the Legion Technologies platform, used by retailers to reduce labor inefficiencies.
Customer Stories