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Sales and customer relationship management system

Wee, Jeng Kai (2024) Sales and customer relationship management system. Final Year Project, UTAR.

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    Abstract

    This project is a mobile application project designed for sales and customer relationship management (CRM) to meet the critical challenges faced by businesses in today’s competitive environment. There are 3 modules available in this project which is Geo-Based Customer Identification and Route Optimization Module, Customer Information Management and Analytics Module, Sales Activity Monitoring Dashboard The first modules aim to increase field productivity by identifying nearby customers and creating routes effective sales process to better identify It is convenient. The second module enables personal engagement by centralizing customer data and unlocking sales opportunities through detailed analysis of past purchases. The third module streamlines the sales process by providing real-time tracking and activity reporting, improving sales visibility and performance. The ultimate goal is to create integrated mobile solutions that enable businesses to overcome critical business challenges, adapt to changing market dynamics, and excel in their core activities through a customer-centric approach. Prototyping will be used to test functionality and collect user feedback prior to implementation. Outcome expectations are a transformational tool that prepares organizations for success in today’s highly competitive business environment. Since android studio is well suited for mobile application, it is therefore implemented in the project. The output material of the project would be Realme 10 pro + smartphone.

    Item Type: Final Year Project / Dissertation / Thesis (Final Year Project)
    Subjects: H Social Sciences > HB Economic Theory
    H Social Sciences > HC Economic History and Conditions
    T Technology > T Technology (General)
    Divisions: Faculty of Information and Communication Technology > Bachelor of Computer Science (Honours)
    Depositing User: ML Main Library
    Date Deposited: 23 Oct 2024 14:47
    Last Modified: 23 Oct 2024 14:47
    URI: http://eprints.utar.edu.my/id/eprint/6687

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