Conversational AI for Home Appliance Service Matching
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Solution Overview
Problem
Home appliance owners face difficulties in finding and contacting service providers for repairs and maintenance, as the process is often cumbersome and requires multiple steps, involving extensive information gathering and interaction with various sources.
Innovation Solution
A system and method utilizing conversational AI, integrated with Amazon Web Services, to connect users with service providers by leveraging speech recognition, natural language understanding, and network interfaces to streamline the process of finding and scheduling appliance repairs, including warranty information and maintenance tips.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional methods are used to find service providers, then service provider information can be obtained, but the process is cumbersome and requires multiple steps involving extensive information gathering
Solution Approach 1:
The system segments the appliance service information into structured data fields (appliance type, service type, provider details, pricing, availability) that can be independently processed and matched. This segmentation allows the natural language query to be broken down into discrete components that are efficiently compared against the database, reducing both time and complexity of the search process
Solution Approach 2:
The patent introduces a natural language processing intermediary layer between the user query and the service provider database. This intermediary automatically parses, interprets, and translates user speech or text into structured search criteria, eliminating the need for users to manually navigate multiple information gathering steps and directly connecting them with matching service providers
2Loss of information
If multiple steps are involved in finding service provider information, then comprehensive information can be gathered, but the process becomes cumbersome and complex
Solution Approach 1:
The system merges multiple information gathering functions into a single integrated natural language processing operation. Instead of requiring separate steps for different types of information (service provider availability, pricing, appliance compatibility), the system combines all these queries into one unified process that retrieves comprehensive service information in a single transaction
Solution Approach 2:
The natural language processing system serves multiple functions simultaneously: it parses user intent, extracts appliance specifications, matches service requirements, queries provider availability, and retrieves pricing information. This multi-functional approach eliminates the need for separate specialized tools or steps for each type of information gathering
Data Source
AI summary
Systems and methods for generating a request to an appliance service provider include the use of a processor in operable arrangement with a microphone to receive an audio signal therefrom and a computer-readable medium to execute an appliance service program contained therein. The appliance service program includes a speech recognition module, a command intent discernment module configured to determine whether speech data from the speech recognition module includes command data and appliance data, a fetch module to send appliance data from the audio signal to a content server in response to the command intent discernment module determining the speech data includes a service connect command and to receive the appliance service data from the content server, and an interface module configured to transmit the appliance service data to a user interface.