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@article{178812,
        author = {Archit Srivastava and Chaitanya Shekhar Pandey and Ayush Kumar Tank and Dr. Pallavi Goel},
        title = {Intelligent Customer Helpdesk in Automobile Industry},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5179-5184},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178812},
        abstract = {The automotive industry is undergoing a significant digital transformation, demanding intelligent, customer-centric, efficient, and scalable solutions. Traditional customer support systems—heavily reliant on human agents and basic Natural Language Processing (NLP) bots—are often plagued by high operational costs, inefficiencies, and fragmented user experiences. This paper introduces an Intelligent Customer Helpdesk framework that incorporates regression algorithms and Smart Document Understanding (SDU) to enable dynamic vehicle recommendations, retailer comparisons, and technical document-based query resolution. Leveraging open-source technologies and regression-based techniques over conventional NLP pipelines, this system achieves enhanced affordability, scalability, and privacy preservation, ultimately improving customer engagement and operational efficiency across automotive businesses.},
        keywords = {Intelligent Automotive Support via SDU & AI},
        month = {May},
        }