Fraud Detection and Loss Prevention System with Secure Data Transmission

Abstract

The project aims at providing a customer friendly solution for POS (point of sale) application. This integration helps accumulate data from POS application at different locations under one centralized cloud system. This way the service providers can target different categories of loss and frauds that can emerge in retails. It also helps in providing business analysis. In this project, integration consists of two major modules i.e. loss prevention and fraud detection application with any POS (point of sale) or online customer retail application. This integration helps the two applications to communicate where one application uses the data from the other .The UI framework has been designed using the OJET (Oracle Java Extension Toolkit). This helps in displaying the generated reports which provide data analysis. This data analysis helps in the decision making process and to increase the profits. The business analysis module is used to give an insight into the data pattern and then formulate policies and decisions accordingly. It contain two major module 1) Loss Prevention and 2) Sales and Productivity. 1. The Loss Prevention module is an intuitive, intelligent and global analytical reporting solution that is designed to quickly identify suspicious trends, transactions, and other data anomalies. The Loss Prevention module allows easy user access, dynamic functionality, and forensic analysis to make more-informed decisions with timely, data-driven answers to business questions and to protect the bottom line. 2. Sales & Productivity module offers robust and highly configurable reporting across all levels of the retail organization hierarchy (Salesperson, Store, District, Region, and so on), merchandise hierarchy (item, class, dept., and so on), and/or by geographic attributes. Through a comprehensive set of grid and graph reports, documents and interactive dashboards, users can compare same store sales to past performance and custom goals, measure sales members’ productivity, and evaluate the impact of merchandise characteristics on productivity.