In-Vehicle Voice Feedback System for Real-Time Customer Issue Analysis
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Solution Overview
Problem
Current methods for obtaining customer feedback from vehicle users are inefficient, with low response rates and delayed feedback, failing to capture real-time issues and lacking integration with vehicle data, which limits manufacturers' ability to iterate on products and improve quality.
Innovation Solution
An in-vehicle voice feedback system that records and transmits spoken voice data along with vehicle operation snapshots to a cloud server for analysis, using AI and machine learning to categorize and present feedback in a hierarchical structure, allowing real-time capture and contextual understanding of customer issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional survey methods are used to collect customer feedback, then implementation is simple, but response rates are low and feedback is delayed
Solution Approach 1:
The patent replaces traditional mechanical survey distribution methods with an automated voice-based feedback system that uses vehicle microphones and cloud processing to collect, transcribe, and categorize customer feedback in real-time, eliminating manual survey distribution and significantly reducing feedback delay
Solution Approach 2:
The system enables customers to provide feedback naturally through their own voice during normal vehicle operation, without requiring participation in structured surveys. The automated transcription and categorization processes then handle the rest, creating a self-service feedback collection mechanism that achieves high response rates
2Loss of information
If voice feedback is collected and processed with AI/ML categorization, then feedback quality and timeliness improve, but system complexity increases
Solution Approach 1:
The patent introduces a cloud server as an intermediary that handles the complex AI/ML processing, transcription, and categorization tasks. This separates the complexity from the vehicle itself, allowing the vehicle to remain relatively simple while still benefiting from advanced processing capabilities in the cloud
Solution Approach 2:
The cloud server performs multiple functions including voice transcription, sentiment analysis, category classification, and feedback routing, consolidating complex processing into a single multi-functional platform that serves all vehicles in the fleet
3Measurement precision
If voice data and vehicle data are integrated for analysis, then root cause analysis capability improves, but data processing complexity increases
Solution Approach 1:
The patent merges voice feedback data with vehicle operational data into a unified analysis framework. The cloud server correlates customer complaints with actual vehicle sensor data to identify root causes, combining multiple data sources into a comprehensive diagnostic system that improves identification accuracy
Data Source
AI summary
A cloud server receives customer feedback from a vehicle, the received customer feedback including voice data and vehicle data, the voice data including speech recorded by the vehicle from an occupant of the vehicle, the vehicle data including a snapshot of information descriptive of operation of the vehicle. The vehicle data is binned into a category of a hierarchy of categories based on textual content of the speech in the voice data. The received customer feedback is added to maintained customer feedback. A portal application presents a user interface to allow the client device to explore the hierarchy of categories and view the maintained customer feedback filtered to a selected one of the hierarchy of categories.