Sales prediction analysis in determining new minimarket stores

Timothy Orvin Edwardo, Yova Ruldeviyani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

PT XYZ is a company engaged in the retail minimarket business in Indonesia. In running its business, one of the key activities involved is opening a new minimarket store. The audit team will analyze proposals to predict sales of would-be new stores, however, the results of the predictions are often not following reality, so research is needed to predict sales more accurately. This study aims to analyze the prediction of minimarket stores sales using deep learning technique to determine new minimarket stores. The model can predict 53.18% stores that achieve the target prediction and 28.32% stores that have the potential to achieve the target in the future, which indicates an increase in predicting stores on target compared to the branch office method which only predicts 31.2% of stores that achieve the target and 31.62% of potential stores. Thus, the approval decision of new minimarket stores which predicted achieve its target can be more accurate than the branch office method. The audit team will use the model to predict the store sales and consider the result for approving the proposal. Factors that had a significant influence on sales were rack size, store age, distance between competitors, domain location, and store type.

Original languageEnglish
Title of host publication2020 International Conference on Information Technology Systems and Innovation, ICITSI 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages79-84
Number of pages6
ISBN (Electronic)9781728181967
DOIs
Publication statusPublished - 19 Oct 2020
Event6th International Conference on Information Technology Systems and Innovation, ICITSI 2020 - Bandung - Padang, Indonesia
Duration: 19 Oct 202023 Oct 2020

Publication series

Name2020 International Conference on Information Technology Systems and Innovation, ICITSI 2020 - Proceedings

Conference

Conference6th International Conference on Information Technology Systems and Innovation, ICITSI 2020
CountryIndonesia
CityBandung - Padang
Period19/10/2023/10/20

Keywords

  • Data Mining
  • Deep Learning
  • Retail
  • Sales Prediction

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