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Starbucks Forecasting: Weather Adjustments
Unexpected changes in weather often impact businesses in unanticipated ways. Anything from small temperature changes to large hurricanes can each have drastic effects to the performance of any particular location. Retail Scientifics was tasked with building custom predictive models to anticipate the effects from weather to each Starbucks location for potential uses across the business.
Utilizing granular timestamped weather data from AccuWeather the Retail Scientifics team was able build sophisticated machine learning models to accurately measure changes in location performance due to weather effects. Utilizing future weather forecasts, improvements to staffing, internal forecasting, and supply chain optimization were possible as a result of this work.