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@article{196716,
        author = {Buddharaju Lahari and Gudala Vasu and Gidijala SasiKiran and Attada Syamala},
        title = {Intelligent AI Sales Assistant Using Open Source Technologies},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {3407-3423},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196716},
        abstract = {The Intelligent AI Sales Assistant is a web-based platform designed to enhance sales management through the integration of Artificial Intelligence (AI) and Natural Language Processing (NLP). Traditional Customer Relationship Management (CRM) tools often rely on complex interfaces and manual data entry, leading to reduced efficiency and increased user effort.
This research introduces a conversational interface that enables users to perform sales-related operations using natural language commands. By applying NLP techniques such as intent detection and entity extraction, the platform automates tasks including lead creation, deal updates, and report generation.
A secure backend architecture ensures reliable data handling through authentication mechanisms, role-based access control, and encrypted sessions. Built using open-source technologies, the solution offers scalability, flexibility, and cost efficiency. Experimental evaluation indicates improved usability, faster task execution, and reduced manual workload compared to conventional CRM systems. The study demonstrates the effectiveness of conversational AI in business automation and highlights future opportunities such as predictive analytics and voice-enabled interaction.},
        keywords = {Intelligent AI Sales Assistant, Artificial Intelligence, Natural Language Processing, Conversational Interface, Sales Automation, Customer Relationship Management, Lead Management, Report Generation, Role-Based Access Control, Open-Source Technologies.},
        month = {April},
        }