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Allocation of shelf place with using big data
(İstanbul Bilgi Üniversitesi, 2019) Altun, Yavuz; Sezgin, Selime Demet
ABSTRACT: Big data practices and related to this allocation of the right shelf place in supermarkets is a new approaches; for retailers searching for new ways to sell their products through the various kinds of stores, categories. In order to have successful sales and profit maximization, companies have to focus on the right shelf place, that supermarket chains and suppliers are racing to answer these days. It is believed that there are products relationship matrix that may have an influence on consumers on different categories, and these are relational and locational factors. This research was made in order to identify the best shelf place allocations for the supplier to replace product categories that have an effect on increasing sales performance. The results were obtained through current sales analysis, what are the actual sales in reality and comparing what could be much more if our big data model applies to change shelf place, and all these applications resulted to show very clearly that this analysis does help is increasing the total number of sales. Although big data helps us to find the right shelf place location for products for categories, but in terms of more profitable products supermarkets focus on the advantage of profit maximization when they decide to choose right shelf place.