• 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