DocumentCode
259442
Title
Improving the Retailers Profit for CRM Using Data Mining Techniques
Author
Deepa, K. ; Dhanabal, S. ; Kaliappan, Vishnu Kumar
Author_Institution
Dept. Of Comput. Sci. & Eng., Jansons Inst. of Technol., Coimbatore, India
fYear
2014
fDate
Feb. 27 2014-March 1 2014
Firstpage
208
Lastpage
210
Abstract
Customer Relationship Management (CRM) is a widespread strategy and process of identifying, retaining and associating selective customers in order to sustain their relationship with the organization. By the application of CRM, greater efficacy and effectiveness in delivering strategies could be achieved. To support CRM in retail sector, many data mining techniques are applied in identifying, attracting, developing and retaining the customer´s relationships. On the other hand, the retailers are unable to predict the demand of products which may leads to inconsistencies in profit by the use of CRM. To overcome this disadvantage, an integrated version of CRM along with Supply Chain Management (SCM) is designed which affords the stock requirement from SCM based on the demand in CRM. Thus SCM with CRM enhances the retailers profit, meet the customer´s demand and retain the current customers.
Keywords
customer relationship management; data mining; organisational aspects; retail data processing; supply chain management; CRM; SCM; customer demand; customer relationship management; data mining techniques; organizational aspects; retail sector; retailers profit; stock requirement; supply chain management; Companies; Customer relationship management; Data mining; Expert systems; Profitability; C4.5 decision tree; data mining; fuzzy clusters; hidden markov model; retailers profit;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing and Communication Technologies (WCCCT), 2014 World Congress on
Conference_Location
Trichirappalli
Print_ISBN
978-1-4799-2876-7
Type
conf
DOI
10.1109/WCCCT.2014.23
Filename
6755141
Link To Document