IMPACT STORIES

Diagnostics Chatbot (DTC)

A GenAI-powered technical diagnostic assistant for FUSO workshop and operational teams.

Company Name

FUSO


Industry

Automobile

Impact

AI-Driven Diagnostics with Faster Turnaround

Application

Chatbot

Background

Mitsubishi Fuso Truck and Bus Corporation (MFTBC) operates in a highly demanding automotive service environment, where diagnostic accuracy and turnaround time directly impact service quality and customer satisfaction. Technicians work across diverse vehicle platforms - including Canter, E-Canter (EV), and Super Great - requiring them to interpret extensive technical documentation covering electrical systems, mechanical components, and electronic control units. This information is primarily maintained in Japanese and distributed across large, static manuals. apply As vehicle systems evolved and became more complex, the effort required to locate, interpret, and knowledge this increased significantly. Cubastion, through its ongoing collaboration with MFTBC on enterprise platforms and AI initiatives, identified the need for a system that could bridge the gap between static documentation real-time and requirements.

Challenges Faced

Manual Diagnostic Effort

Time-consuming diagnostic processes due to manual navigation of technical manuals

High Technician Dependency

High dependency on senior technicians for complex issue resolution

Inconsistent Diagnostic Quality

Inconsistent diagnostic quality across workshops and regions

Complex Documentation Interpretation

Difficulty in interpreting multilingual technical documentation

Limited Symptom-Based Diagnosis

Limited ability to handle symptom-based diagnostics without explicit error codes

Unstructured Data Volume

Large volumes of structured and unstructured technical documents

Low Searchability of Content

Diagram-heavy content with minimal searchable text

Multilingual Processing Requirement

Need for accurate multilingual interpretation (Japanese ↔ English)

Real-Time Response Requirement

Requirement for real-time, context-aware response generation

Explainability & Usability Needs

Ensuring explainable and actionable outputs suitable for workshop use

Solutions

Cubastion developed the Diagnostics Chatbot (DTC), a GenAI-powered assistant that helps technicians access and apply technical knowledge using natural language or diagnostic codes, delivering structured and actionable insights.

Intelligent Diagnostic Query

1. Handling Supports both DTC-based queries and symptom-based descriptions
2. Interprets user intent across mechanical, electrical, and electronic domains
3. Eliminates dependency on exact code or keyword matching

Action-Oriented Diagnostic Guidance

1.Provides root-cause explanations and troubleshooting steps
2. Recommends corrective and preventive actions
3. Aligns responses with real workshop workflows

Visual and Diagram-Aware Assistance

1. Surfaces relevant wiring diagrams and circuit visuals
2. Links textual explanations with physical system understanding
3. Enhances clarity for complex diagnostic scenarios

Multilingual Diagnostic Interaction

1. Supports queries in both Japanese and English
2. Preserves technical accuracy across languages
3. Removes language barriers in global workshop environments

Workshop-Ready Interaction Model

1. Supports voice input and read-aloud responses
2. Enables quick copy and feedback actions
3. Maintains chat history for continuity in troubleshooting

Conversational and Context-Aware Experience

1. Allows natural language interaction and follow-up queries
2. Maintains context across conversations
3. Adapts responses based on user input and query progression

Business Outcome

Improved Diagnostic Efficiency

Higher First-Time Fix Rate

Reduced Expert Dependency

Improved Knowledge Accessibility

Enhanced Technician Productivity

Faster Service Turnaround

Faster Technician Onboarding

Increased Operational Efficiency

Standardized Diagnostics

Reduced Diagnostic Errors