Today, the organizations advertise and sell their products online and offline but they face the issue of managing their sales and inventory. A crucial part of their businesses is
maintaining relationships with their customers, preventing them from churning out, track decreasing brand loyalty and taking steps to prevent it, and increasing profitability. This paper focuses on efficiently automating the sales processes and making a more accurate system for improving customer retention and extension, than previous software‟s. An extensive research done on existing systems gave us an insight into their shortcomings which this system attempts to overcome by using predictive analytics. Using decision trees and random forests in machine learning, the accuracy of the algorithm improves over time to give us better results progressively. The implementation of this system has resulted in better resource utilization, increased responsiveness and accurate forecasting of customer behavior. This system has been implemented to seamlessly integrate with any ERP system for efficient stock management and an Android application to track the employees and keep them updated
with their tasks.
• Minimum Configuration:
To run the application programming of the system in the PC the base outline required is as underneath:
233 MHz processor.
128 MB SD-RAM
2 – 4 GB Hard-Disk.
4x Compact Disk drive or speedier.
1.44 MB Floppy Disk Drive.
Monitor. [ 640 x 480 Display ]
This is the short introduction of Hardware Configuration for the system. The structure can work in most up and coming development additionally. It is just telling that system can work with old development also regardless, it contains this slightest setup of Hardware.
Executive requires some item. This item is used for the progression, for instance, coding and testing. Records are given underneath:
• Front End – PHP
• Back End – MySQL 5.0
• Server – Apache Server 2.0
• Design Tool – Macromedia Dreamweaver 8.0
• Documentation Tools – Microsoft Word
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