Abstract
The issue on location placement for next business establishment is always a challenging topic. It presents businesses with many opportunities to uncover the most sophisticated approach on selecting the next location of physical stores to establish its presence. The traditional approach of manual survey of land, competition landscape and also related to demographic factor analysis comes with high cost and longer time to complete. Our proposed work leveraging Google Maps to survey the surrounding and records the existing characteristics such as whether the shop is a corner shop lot, can be viewed from main road or having a sizable parking space. Based on the findings, the characteristics listing mainly relates to the business type. The approach of this paper can be used as one of the alternative input to decision making for physical placement of store. With the proposed work, optimal store location placement is determined based on a set of characteristics of an existing location. This research may help new business to gain optimal in flux of customers based on the location identified.
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Rohani, A.M.B.M., Chua, FF. (2018). Location Analytics for Optimal Business Retail Site Selection. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10960. Springer, Cham. https://doi.org/10.1007/978-3-319-95162-1_27
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