Product brand prediction in retail industry

Nowadays, there are some challenges regarding to sales and retailing issues. There are some factors that impact to the retailer influences to their customer. It is including the competition from online businesses. Sometimes it is hard to achieve the consumer demands expectation. At the same time, th...

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Main Authors:	Ismail, Nor Afifa, Mohd. Yunos, Zurahati
Format:	Thesis
Language:	English
Published:	2018
Subjects:	HD28 Management Industrial Management
Online Access:	http://eprints.utm.my/id/eprint/98326/1/NorAfifaBintiIsmailMSC2018.pdf.pdf
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id	my-utm-ep.98326
record_format	uketd_dc
spelling	my-utm-ep.983262022-12-07T02:06:07Z Product brand prediction in retail industry 2018 Ismail, Nor Afifa Mohd. Yunos, Zurahati HD28 Management. Industrial Management Nowadays, there are some challenges regarding to sales and retailing issues. There are some factors that impact to the retailer influences to their customer. It is including the competition from online businesses. Sometimes it is hard to achieve the consumer demands expectation. At the same time, the retailer may need to overcome the financing pressure and marketing challenges just to ensure that their brand could be survive in business matter. The retailing challenges that always facing by company including finding the financing to stay in business. The only ways to solve the problem is by making prediction to investigate their product sales by using the data in year 2015 and 2016. The objective is to study the existing data sales based on type of brand, to develop prediction model for each type of brand, and to evaluate the performance of Artificial Neural Network (ANN) and Exponential Smoothing (ES) model in selecting the best model. The measurement performance used to analyse the data are using RMSE, MAE and MAPE. The comparison for the best model is based on the actual and predicted data that helps to get the result for profit sales and loss sales for each brand. Result obtained shows that MLP model is better in prediction model compared to the ES model. 2018 Thesis http://eprints.utm.my/id/eprint/98326/ http://eprints.utm.my/id/eprint/98326/1/NorAfifaBintiIsmailMSC2018.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:144590 masters Universiti Teknologi Malaysia Faculty of Engineering - School of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	HD28 Management Industrial Management
spellingShingle	HD28 Management Industrial Management Ismail, Nor Afifa Mohd. Yunos, Zurahati Product brand prediction in retail industry
description	Nowadays, there are some challenges regarding to sales and retailing issues. There are some factors that impact to the retailer influences to their customer. It is including the competition from online businesses. Sometimes it is hard to achieve the consumer demands expectation. At the same time, the retailer may need to overcome the financing pressure and marketing challenges just to ensure that their brand could be survive in business matter. The retailing challenges that always facing by company including finding the financing to stay in business. The only ways to solve the problem is by making prediction to investigate their product sales by using the data in year 2015 and 2016. The objective is to study the existing data sales based on type of brand, to develop prediction model for each type of brand, and to evaluate the performance of Artificial Neural Network (ANN) and Exponential Smoothing (ES) model in selecting the best model. The measurement performance used to analyse the data are using RMSE, MAE and MAPE. The comparison for the best model is based on the actual and predicted data that helps to get the result for profit sales and loss sales for each brand. Result obtained shows that MLP model is better in prediction model compared to the ES model.
format	Thesis
qualification_level	Master's degree
author	Ismail, Nor Afifa Mohd. Yunos, Zurahati
author_facet	Ismail, Nor Afifa Mohd. Yunos, Zurahati
author_sort	Ismail, Nor Afifa
title	Product brand prediction in retail industry
title_short	Product brand prediction in retail industry
title_full	Product brand prediction in retail industry
title_fullStr	Product brand prediction in retail industry
title_full_unstemmed	Product brand prediction in retail industry
title_sort	product brand prediction in retail industry
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Engineering - School of Computing
publishDate	2018
url	http://eprints.utm.my/id/eprint/98326/1/NorAfifaBintiIsmailMSC2018.pdf.pdf
_version_	1776100580568072192

Product brand prediction in retail industry

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