Symptom-Based Vehicle Service Pages for Faster Technician Data Retrieval
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Solution Overview
Problem
Technicians face challenges in efficiently accessing and explaining vehicle service data during servicing, leading to time-consuming searches and communication with service advisors for generating customer invoices.
Innovation Solution
A system and method that utilizes a computer server to analyze vehicle symptoms, determine probable components and information categories, and generate displayable pages with relevant data for technicians, including display cards that provide necessary information for servicing vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If technicians manually search for vehicle service data, then they can access comprehensive information, but the time required for data retrieval increases significantly
Solution Approach 1:
The system performs preliminary action by pre-processing and organizing vehicle service data into structured categories and display cards before technicians need them. The server proactively retrieves and prepares relevant information based on vehicle identification data, so that when technicians need the data, it is already organized and ready for immediate display, eliminating the need for manual searching through unorganized data repositories.
Solution Approach 2:
The server acts as an intermediary between the technician and the vast database of vehicle service information. Instead of technicians directly searching through comprehensive databases, the server mediates by receiving vehicle identification data, processing the request, and delivering pre-organized information through display cards. This intermediary layer filters and structures the information, significantly reducing the time and effort required for data retrieval.
2Loss of information
If technicians search for service data manually, then they can find specific information, but the efficiency of service operations decreases
Solution Approach 1:
The system segments the comprehensive vehicle service data into distinct, manageable categories (e.g., diagnostic information, service history, maintenance schedules, bill of materials). Each category is further divided into specific display cards that can be independently retrieved and displayed. This segmentation allows technicians to access only the specific information needed for their current task, improving operational efficiency by reducing the time spent searching through all available data.
Solution Approach 2:
The system enables self-service by allowing the server to automatically retrieve, process, and display relevant vehicle service data based on vehicle identification information without requiring technician intervention in the data retrieval process. The system serves itself by autonomously organizing and presenting information, freeing technicians to focus on actual vehicle servicing rather than data collection.
3Loss of information
If technicians spend time explaining service details to service advisors, then comprehensive invoices can be prepared, but the time required for communication increases
Solution Approach 1:
The system creates a digital copy of comprehensive service information that is automatically generated and made available to service advisors. Instead of technicians manually explaining service details and transcribing information, the system generates a complete digital record including all service data, diagnostic information, and maintenance history. This digital copy can be immediately accessed and used to prepare customer invoices, eliminating the time-consuming verbal explanation and transcription process.
4Loss of information
If the system provides comprehensive vehicle service information, then technicians have access to all needed data, but the complexity of data management increases
Solution Approach 1:
The system manages complexity by segmenting the comprehensive vehicle service data into organized categories and standardized display cards. Rather than presenting a monolithic database, the information is divided into manageable units (diagnostic information, service history, maintenance schedules, bill of materials) that can be independently accessed and displayed. This segmentation makes the vast amount of data more manageable and easier to navigate while maintaining completeness.
Solution Approach 2:
The system changes the parameters of data presentation by transforming raw database records into structured display formats optimized for technician needs. The server processes and reorganizes data according to specific parameters such as vehicle identification, service type, and information category, presenting the information in a standardized manner that reduces cognitive load and simplifies data management while maintaining comprehensive coverage.
Data Source
AI summary
A method and system for generating a displayable page with a display card is described. A computer server receives data indicating a vehicle symptom and searches a computer-readable database to determine a most-likely cause of the vehicle symptom, a most-probable component associated with the most-likely cause, a component-type identifier associated with the most-probable component, a subset of information categories from among a set of information categories associated with at least one component-type identifier, and data to populate the display card. The server generates the displayable page including the display card and the data to populate in the display card. The server transmits the displayable page to a display device for displaying the displayable page on a display screen. The server receives data indicating selection of an action trigger in the display card occurred and responsively provides the display device with data to update the display card or another displayable page.