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Analyzing the Impact of Weather Conditions on Beer Sales: Insights for Market Strategy and Inventory Management

Asian Journal of Business Environment / Asian Journal of Business Environment, (P)2765-6934; (E)2765-7027
2024, v.14 no.3, pp.1-11
https://doi.org/10.13106/ajbe.2024.vol14.no3.1
LEE Sangwoo (Korea University)
Sang Hyeon LEE (Korea University)
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Abstract

Purpose: This study analyzes the impact of weather conditions, holidays, and sporting events on beer sales, providing insights for market strategy and inventory management in the beer industry. Research design, data and methodology: Beer types were classified into Lagers and Ales, with furthersubcategories. The study utilized weekly retail sales data from January 2018 to August 2020, provided by Nielsen Korea. An ARMAX model was employed for time-series analysis. Results: The analysis revealed that increasing temperatures positively influence sales of Pilsners and Pale Lagers. Conversely, higher precipitation levels negatively affect overall Lager sales. Among Ales, only Stout sales showed a significant decrease with increased rainfall. Sunshine duration did not significantly impact sales for any beer type. Humidity generally had little effect on beer sales, with the exception of Amber Lagers, which showed sensitivity to humidity changes. Holidays and sporting events were found to significantly boost sales across most beer types, although the specific impacts varied by beer category. Conclusions: This study offers a detailed analysis of how weather conditions and specific eventsinfluence different beer type sales. The findings provide valuable insights for breweries, beer processors, and retailersto optimize their market strategies and inventory management based on weather forecasts and seasonal events. By understanding the consumption patterns of each beer type in relation to environmental factors, businesses can better anticipate demand fluctuations and tailor their operations accordingly

keywords
Beer Sales, Weather Conditions, Market Strategy, ARMAX Model, Time Series Analysis
Submission Date
2024-06-23
Revised Date
2024-06-26
Accepted Date
2024-06-27

Asian Journal of Business Environment