AI Vehicle Shopping Chatbot for Total Cost Comparison
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Solution Overview
Problem
The process of purchasing a vehicle, such as a car, involves significant research and can be time-consuming and inefficient, with conventional methods lacking in providing comprehensive information on the total cost of ownership.
Innovation Solution
A machine learning-based chatbot or voicebot that analyzes and processes data on vehicle makes and models to provide customers with the total cost of ownership, including initial purchase price, maintenance, insurance, and other costs, using natural language processing and machine learning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional vehicle research methods are used (visiting dealerships, browsing websites), then customers can obtain basic vehicle information, but the process is time-consuming and energy-consuming
Solution Approach 1:
The patent introduces an AI chatbot as an intermediary between customers and vehicle data. The chatbot automatically gathers, processes, and presents comprehensive cost information (purchase price, maintenance, insurance, depreciation) without requiring customers to visit multiple dealerships or websites, thus resolving the contradiction between information completeness and time consumption
Solution Approach 2:
The system performs preliminary actions by pre-calculating and organizing total cost of ownership data before customer inquiry. The chatbot has access to pre-processed vehicle data including all cost components, enabling it to provide comprehensive information immediately upon customer request, eliminating the time-consuming research process
2Loss of information
If customers conduct thorough vehicle research through multiple channels, then they can gather more information, but the process becomes complex and inefficient
Solution Approach 1:
The patent merges multiple information sources and cost calculation methods into a single integrated AI chatbot system. Instead of requiring customers to separately research purchase price, maintenance costs, insurance, and depreciation across different websites and dealerships, the chatbot consolidates all these elements into one unified interface, simplifying the research process while maintaining information completeness
Solution Approach 2:
The AI chatbot serves multiple functions simultaneously: it provides vehicle specifications, calculates total cost of ownership, compares different models, and answers customer questions. This multi-functional approach replaces the need for customers to use multiple separate research tools and channels, reducing process complexity while delivering comprehensive information
Data Source
AI summary
Methods for systems generating recommendations regarding a vehicle purchase are disclosed. An artificial intelligence (AI) or machine learning (ML) chatbot or voicebot is provided to receive input from a user, determine information regarding a type of vehicle based upon the input, and generate a total cost of ownership of the type of vehicle for presentation to the user. The chatbot may apply a natural language processing (NLP) algorithm to a text input to generate an intermediate input for use in determining the total cost of ownership. The voicebot may apply an audio recognition algorithm to an audio input to generate text, which may then be processed by the voicebot or the chatbot using an NLP algorithm to generate an intermediate input for use in determining the total cost of ownership.