Fast Food Sales Forecasting with Base model vs Machine Learning model

• Main Authors: Jam Munawwar Gul, Muhammad Imran, Muhammad Idrees, Muhammad Imran Asad, Hafiz Naveed Hassan
• Format: Article
• Language: English
• Published: The University of Lahore 2020-10-01
• Series: Pakistan Journal of Engineering & Technology
• Subjects: Sales prediction, sales forecasting, ARIMA, MSE
• Online Access: https://www.hpej.net/journals/pakjet/article/view/545
• ISSN: 2664-2042; 2664-2050

Fast food business is the fastest growing business recently in Pakistan and the people need to know the sales forecasting because of the business is totally based on the sales factor sales will tell us how to invest and how to expand the expanse and how to reduce the expanses and the growth of the business is measure in term of sales. We get collected the data form the Lahori fast food chain business and use the base model and find the error MSE rate and then we use the machine leaning mode which is ARIMA to find the MSE error rate and compare their results and finally we found that the base model having the error lower than ARIMA.