How QSRs are leveraging event data to save money in 2023
The next few years of the restaurant industry will be defined by innovation and growth. For leading quick serve restaurants, top concerns include saving on increasingly rising operating costs in the face of ongoing inflation, the labor shortage, and demand hypersensitivity first ignited by the onset of global lockdowns over two years ago. While a majority of QSRs are still just getting into the use of data to tackle operational issues, leaders in the space have already begun leveraging data-driven tech solutions to reduce rising operating costs.

By joining third-party data with their own sales data for existing forecasting, business intelligence, and labor management systems, QSRs are streamlining their processes, improving the customer experience, and saving money on labor expenses – each ultimately contributing to brand power and longevity in an increasingly dynamic and competitive market.
Download the report, How QSRs are leveraging event data to save money in 2023 to explore how leaders are using the following strategies to combat inflation and rising labor costs:
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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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