Vehicle owners often face challenges in understanding product and part warranties, leading
to frustration when warranty claims are rejected due to predefined manufacturer rules. This
paper presents a novel solution to enhance vehicle warranty management and maintenance
through an AI-driven mobile application. The proposed system provides personalized
warranty information, real-time support, and maintenance cost estimates based on vehicle specific data. By leveraging AI and machine learning algorithms, the app interprets customer
queries through text, voice, video, or image inputs and fetches relevant data from the
manufacturer's database, ensuring accurate and timely responses. Continuous data
collection improves the system's accuracy over time, enhancing customer satisfaction and
support. The application also assists customers with product quality assessments, vehicle
servicing plans, approximate servicing costs, product replacement costs, part availability
from nearby dealers, and warranty support requests.
To generate unique responses to customer queries, the app utilizes a combination of AI and
machine learning algorithms that analyze the specific context and details of each query. The
system considers various factors such as the vehicle's make, model, usage patterns, and
environmental conditions. By accessing the manufacturer's database and integrating real-time OBD data, the app provides tailored solutions that address the customer's specific
concerns. This personalized approach ensures that each response is relevant and accurate,
catering to the unique needs of every vehicle owner. As the system gathers more data over
time, the machine learning algorithms continuously refine and enhance the accuracy of the
responses, further improving customer satisfaction and support.
This comprehensive approach aims to bridge the gap between vehicle owners and
manufacturers, ensuring customers are well-informed and supported throughout them
vehicle ownership experience.