How Softweb Built the GoTech™ mobile OBD-II diagnostics tool to automate vehicle diagnostics for wells vehicle electronics
For too long, diagnosing a vehicle required specialized equipment and a trained technician. Wells Vehicle Electronics set out to put that power in drivers’ hands. Softweb built the GoTech™ mobile OBD-II diagnostics Tool, a cross-platform IoT app that connects to a vehicle’s OBD-II port via Bluetooth, which delivers real-time diagnostics.
Industry: Automotive 
Business type: Enterprise - Services: IoT mobile app development, Custom software development, Web admin panel development
- Technology: Java, SQL, iOS, Android, C, Bluetooth OBD-II integration, REST APIs
Client profile
Wells vehicle electronics is a well-established manufacturer and supplier of electrical parts and components for vehicle manufacturers across North America. With decades of industry presence, the company has built a strong reputation for reliability, quality, and a customer-first philosophy. Their product portfolio spans a wide range of electrical systems and sensors critical to modern vehicle operation.
Wells Vehicle Electronics serves automotive professionals, service technicians, and original equipment manufacturers (OEMs). Their commitment to precision engineering and technical excellence makes them one of the most trusted names in the North American automotive supply chain.
Technical challenges
Wells vehicle electronics’ vision was a mobile app that could pair seamlessly with the OBD-II dongle via bluetooth, interpret fault codes in real time, and give users the visibility they need to act. The core challenges they needed to solve were:
Complex trouble codes
Thousands of diagnostic trouble codes (DTCs) required accurate interpretation through a structured diagnostics system.
Limited data visibility
Drivers lacked real-time access to engine data without specialized diagnostic hardware tools.
Inaccessible OBD data
Raw diagnostic codes were difficult for non-technical users to understand and interpret.
High diagnostic time
Service visits for basic diagnostics increased time, cost, and equipment dependency unnecessarily.
Our solution
GoTech™ mobile OBD-II diagnostics tool as a solution
We designed and developed the GoTech™ mobile OBD-II diagnostics Tool from the ground up as a complete IoT diagnostics solution. The app pairs with the OBD-II dongle via Bluetooth and reads live vehicle data. It presents information in a format useful for car owners and service technicians.
Car owners needed a clear answer to “what is wrong with my vehicle and why”. Service technicians required features such as live parameter data, exportable reports, and a reliable Bluetooth connection. They needed a system that performs consistently in workshop environments.
Bluetooth pairing engine and session management for stable vehicle connectivity
We built a reliable Bluetooth pairing framework that connects the mobile app to the OBD-II dongle with minimal user input. Our engineers designed the pairing process to be intuitive for non-technical users while remaining stable and fast enough for professional workshop environments. Once connected, the app maintains a live data stream from the vehicle’s ECU throughout the diagnostic session.
We developed a connectivity engine that handles variations in OBD-II protocol responses across different vehicle makes and years. They implemented error handling mechanisms into the pairing layer to surface clear feedback when connectivity issues arise. The session management architecture maintains a stable Bluetooth connection during long monitoring sessions.
Fault code translation and database management for structured diagnostic output
A DTC interpretation engine, which our engineers built, translates raw fault codes into structured, readable information. For each code detected, the app presents the code identifier, a definition of fault, a breakdown of probable causes, and guidance on the next steps. We built this layer to handle the full range of OBD-II standard codes, with the flexibility to incorporate manufacturer-specific codes as the database grows.
The DTC database is managed through the web admin panel. Users at Wells Vehicle Electronics can add, update, or refine code definitions without requiring a new app release. This architecture keeps the app’s diagnostic content current as new vehicle models and fault patterns emerge.
Real-time engine performance monitoring across nine live diagnostic parameters
Beyond fault codes, the app shows nine engine performance parameters through real-time digital gauges. Our app allowed users to monitor engine RPM, ignition timing advance, engine coolant temperature, short-term and long-term fuel trim, Mass Air Flow (MAF) sensor output values, intake air temperature, oxygen sensor output voltage, and calculated engine load, all within a single diagnostic session.
The gauges update in real time as the vehicle runs, giving technicians the live data they need to evaluate engine behavior under different operating conditions. We structured the gauge interface to ensure technicians can interpret data instantly. It features clean value displays and purposeful visual indicators for each parameter.
Preventive maintenance tracking and PDF report generation for service workflows
Our engineers combined live gauge data with DTC history to help users spot emerging maintenance patterns before they develop into serious problems. This ability positions GoTech™ as a tool for proactive vehicle care.
To support service center workflows, our engineers built a PDF export feature directly into the diagnostic flow. The app generates a structured report from identified trouble codes at the end of each session, so technicians do not require manually transcribe findings. The workflow keeps documentation accurate, shareable with vehicle owners, and ready to file without adding steps to the technician’s process.
Web-based data governance and role-controlled DTC database management
We developed a secure web admin panel to give Wells Vehicle Electronics centralized control over the data that powers the app’s diagnostic output. Diagnostic accuracy depends on the quality of the underlying content. That’s why we built an interface that allows authorized administrators to manage the DTC database, vehicle information, and trouble code libraries without requiring a new app release.
Through the admin panel, the team can update code definitions, explanations, and probable causes as new vehicle models and fault patterns emerge. We implemented a role-based access model to ensure only verified personnel can modify this content.
The model preserves the integrity of the diagnostic data that technicians and vehicle owners rely on.
Business Goals and measurable outcomes
| Business objective | Business benefit delivered |
|---|---|
| Reduce diagnostic time for technicians and car owners | Heavy reduction in time-to-diagnosis. Technicians could pull DTC data within seconds of connecting the dongle. Dedicated diagnostic equipment was no longer required. |
| Make vehicle self-diagnostics accessible to everyday drivers | Non-technical users could understand fault codes and potential causes through clear in-app explanations. Unnecessary service center visits became less frequent as a result. |
| Monitor vehicle performance in real time | Real-time digital gauges across nine key engine parameters gave both drivers and technicians live visibility into vehicle health without additional hardware. |
| Enable preventive maintenance at scale | The app shifted users from reactive repairs to proactive vehicle care. Early detection of performance deviations led to cost savings and extended vehicle life. |
| Streamline catalog and data management for the backend team | The web admin panel gave Wells Vehicle Electronics full control over DTC definitions, causes, and product data.It reduced the manual overhead in content updates. |
Tech stack
- Mobile application
- iOS (Native), Android (Native)
- Backend and API layer
- Java (Spring Boot), REST APIs, SQL
- IoT connectivity
- Bluetooth (OBD-II dongle pairing), OBD-II protocol integration
- Diagnostics engine
- DTC parsing library, real-time engine data processing
- Real-time gauges
- Live parameter monitoring (RPM, coolant temp, MAF, O2 sensor, fuel trim, ignition timing, IAT, engine load)
- Web admin panel
- Role-based authentication, DTC database management, vehicle data CRUD operations
- Data export
- PDF generation and export for trouble code reports
- Security
- Secure credential-based login, session management
- Language / Platform
- C, Java, iOS (Swift/Obj-C), Android (Java/Kotlin)
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