Implementation of Customer Segmentation using Integrated Approach
Balmeet Kaur1, Pankaj Kumar Sharma2
1Balmeet Kaur, Assistant Professor, ABES Engineering College, Ghaziabad, Uttar Pradesh.
2Pankaj Kumar Sharma, Professor, ABES Engineering College, Ghaziabad, Uttar Pradesh.
Manuscript received on 10 April 2019 | Revised Manuscript received on 17 April 2019 | Manuscript Published on 26 April 2019 | PP: 770-772 | Volume-8 Issue-6S April 2019 | Retrieval Number: F61680486S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Customer segmentation and pattern extraction is one of the key aspects of business decision support system. In order to grow the business intelligently in competitive market, identification of potential customer should be done timely. This paper proposes an integrated novel approach for determining target customers using predictive model and also discover their associative buying patterns using Apriori algorithm. After identification of targeted customers and their associative buying pattern, the business managers take the strategic profitable decisions accordingly.
Keywords: CRM, Clustering, Customer Segmentation, Associative Mining.
Scope of the Article: Community Information Systems