Statistical Model For Short-Term Forecasting Sparkling Beverage Sales In Southern Thailand

Autor:	Nittaya McNeil, Wassana Suwanvijit, Chamnein Choonpradub
Rok vydání:	2011
Předmět:	Sales forecasting Economics Revenue Statistical model Marketing Agricultural economics Term (time)
Zdroj:	International Business & Economics Research Journal (IBER). 8
ISSN:	2157-9393 1535-0754
DOI:	10.19030/iber.v8i9.3171
Popis:	This study developed a simple statistical model for forecasting a companys sparkling beverage sales in the 14 provinces of Southern Thailand. Data comprised sales revenue from January 2000 to December 2006 obtained from the company. We fitted an observation-driven multiple regression model to log-transformed monthly revenue containing season of year (month), location and beverage flavour as factors, as well as lagged observations for the preceding four months. The model gave a r-squared of 0.95 and was effective for forecasting revenues for up to 12 future months. Using such models for forecasting sales revenue can assist company managers with planning more effectively.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::899325b9f9f787c7cb34e7dba9c0dc84 https://doi.org/10.19030/iber.v8i9.3171 Zobrazit plný text záznamu