Intelligent Customer Helpdesk in Automobile Industry

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Archit Srivastava; Chaitanya Shekhar Pandey; Ayush Kumar Tank; Dr. Pallavi Goel

Intelligent Customer Helpdesk in Automobile Industry

Authors: Archit Srivastava, Chaitanya Shekhar Pandey, Ayush Kumar Tank, Dr. Pallavi Goel

Unique Paper ID: 178812
Volume: 11
Issue: 12
PageNo: 5179-5184

Keywords: Intelligent Automotive Support via SDU & AI

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.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 5179-5184

Intelligent Customer Helpdesk in Automobile Industry

Available:https://ijirt.org/article?manuscript=178812

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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