An Intelligent Model for Predicting the Sales of a Product

Munthaj Amadala; Kandlapalli Likitesh Kumar; Talari Neeraja; B. Javeed Basha

An Intelligent Model for Predicting the Sales of a Product

Author(s)	Munthaj Amadala, Kandlapalli Likitesh Kumar, Talari Neeraja, B. Javeed Basha
Country	India
Abstract	In order to effectively manage client contacts, this project intends to create a comprehensive Client Relationship Management (CRM) system utilizing the MERN stack. Essential components including Accounts, Contacts, Opportunities, Cases, and Reports are all included in the CRM system, which gives companies a consolidated platform for customer support, sales, and relationship management in general. The system improves customer satisfaction and operational efficiency by combining a number of functions, including contact tracking, sales pipeline management, account segmentation, and case priority. Constructed using contemporary technology, the system facilitates role-based access, complies with data privacy regulations, and integrates with other tools like calendars, email, and ERP systems. The project adheres to a planned development lifecycle, guaranteeing scalable architecture, flawless functionality, and strong design. It is a vital tool for companies looking to maximize their customer interactions and operational workflows, with anticipated results including increased sales productivity, improved customer assistance, better insights, and streamlined operations. Systems for managing customer relationships (CRM) are essential for improving company communications with clients. The goal of this project is to create a web-based CRM application with the MERN stack—MongoDB, Express, React, and Node.js—using contemporary technologies. The system's objectives are to increase customer involvement, simplify customer data administration, and offer analytics to support improved decision-making. Modules including user authentication, customer data management, communication tracking, and real-time analytics will all be included in the CRM program. The design, installation, and performance assessment of the suggested CRM system are presented in this study.
Keywords	Client Relationship Management (CRM), MERN stack, Accounts, Contacts, Opportunities, Cases, Reports, MongoDB, Express, React, Node.js, increased customer involvement, improved decision-making.
Field	Engineering
Published In	Volume 17, Issue 4, April 2026
Published On	2026-04-05
Cite This	An Intelligent Model for Predicting the Sales of a Product - Munthaj Amadala, Kandlapalli Likitesh Kumar, Talari Neeraja, B. Javeed Basha - IJTAS Volume 17, Issue 4, April 2026.

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An Intelligent Model for Predicting the Sales of a Product

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