TY - JOUR ID - 59945 TI - Representing a Model Using Data Mining Approach for Maximizing Profit with Considering Product Assortment and Space Allocation Decisions JO - Journal of Information Technology Management JA - JITM LA - en SN - AU - Ansari, Manoochehr AU - Heidari, Ali AU - Setareh Gooran Abad, Ali AD - Associate Professor/ University of Tehran AD - Assistant Professor/ University of Tehran AD - None Y1 - 2016 PY - 2016 VL - 8 IS - 4 SP - 663 EP - 680 KW - Data Mining KW - maximizing profit KW - product assortment KW - shelf space allocation DO - 10.22059/jitm.2016.59945 N2 - The choice of which products to stock among numerous competing products and how much space to allocate to those products are central decisions for retailers. This study aimed to apply data mining approach so that, we got needed information from large datasets of sale transactions to find the relations between products and to make product assortments. Thus, we represented a model for product assortment and space allocation. Research population was transactional data of a store, the sample included transactional data of one-month period in the time series. Data were collected in October and November, 2015 from Shaghayegh store. 525 transactions with regard to 79 different products were analyzed. Based on the result 10 product assortments formed although some products were allocated to more than 1 product category. By solving profit equation and finding volume increase indices we allocated spaces for each product assortment. UR - https://jitm.ut.ac.ir/article_59945.html L1 - https://jitm.ut.ac.ir/article_59945_f15dbec16ef2f3c61b6b06ce12042170.pdf ER -