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Survey for Daily Collection in Credit Co-Operative Society

Author(s):

Vinod Barela , Government College Of Engineering & Research, Avasari.; Sayali Kolhe, Government College Of Engineering & Research, Avasari.; Chetana Chaure, Government College Of Engineering & Research, Avasari.; Avadhut Khollam, Government College Of Engineering & Research, Avasari.; Bhushan Borhade, Government College Of Engineering & Research, Avasari.

Keywords:

Application, Android, SQLite, Agent, Daily Collection, Prediction

Abstract

Credit co-operative society not developed well in rural areas as compared to co-operative societies in urban areas. Generally, Moto of credit co-operative society is to encourage members for daily savings. Cash collector i.e. agent daily collects cash from their respective vendors & consumers as well as consumer. Our project focuses on to improves the working of cash collectors & automate the daily collection process of credit co-operative society by introducing android application. This application provides prediction based daily collection facility for agent. Through this application cash collector able to add members, add cash amount, generate PDF of report etc. Application will predict the next member nearby agent from which cash has to be collect. Android application notifies to the agent about missed members on that day or previous days. Daily & monthly reports as per collection automatically generated by android application so at the end of the day cash collector show their report in respective branch. Prediction based daily collection system reduces human efforts helpful for newly joint agents.

Other Details

Paper ID: IJSRDV4I100348
Published in: Volume : 4, Issue : 10
Publication Date: 01/01/2017
Page(s): 616-618

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