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 :
بازگشت