Digital Transformation
Automotive•
Digital Transformation•
Automotive & IoT

Automotive Information System & IoT Portal

Architected cloud-based middleware and modern Web UI dashboards for Kia automotive information systems, normalizing telemetry from mixed-generation vehicle sensors and enabling real-time live data visualization without hardware modifications.

Executive Summary

Goal

Develop a high-performance Web UI and cloud middleware architecture for Kia's Automotive Information System, handling live vehicle telemetry across legacy and modern sensor generations.

Solution

Designed a cloud-based middleware layer to normalize heterogeneous sensor data formats and frequencies before frontend consumption, optimizing data visualization dashboards for zero-latency user experience.

Outcome

Achieved a stable, real-time frontend experience with zero hardware upgrade requirements, processing live vehicle sensor streams effortlessly.

Strategic Value

Unlocked real-time fleet telemetry for legacy and next-gen vehicles alike, paving the way for predictive vehicle diagnostics and enterprise fleet management.

Business Challenge

Automotive information system processing live telemetry from mixed-generation vehicles using different sensor technologies.

Heterogeneous old and new sensors sending data in inconsistent formats and unpredictable frequencies.

Client-side app-level processing was not feasible due to browser and hardware resource limits.

Severe performance bottlenecks with strictly zero scope for vehicle hardware upgrades.

Project Objectives

Optimization

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for optimization enterprises.

Trusted By:Web UI development for live vehicle tracking dashboards.
Optimization
Design & Execution

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for design & execution enterprises.

Trusted By:Complex data visualization and user experience optimization for live telemetry.
Design & Execution
Assessment

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for assessment enterprises.

Trusted By:Architecture support and cloud middleware normalization for sensor data processing.
Assessment
Integration

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for integration enterprises.

Trusted By:Seamless data stream ingestion across mixed-generation vehicle fleets.
Integration

StackDot Approach

Telemetry Audit

Audited payload formats and sampling rates across legacy and next-generation vehicle CAN bus sensors.

Middleware Architecture

Engineered cloud-based ingestion middleware to parse, buffer, and normalize multi-format sensor streams.

Web UI & Visualization

Built lightweight React/WebSockets dashboards optimized for rendering live telemetry at 60 FPS.

Performance Optimization

Eliminated client-side bottlenecks via WebGL charting and server-side data compression without hardware changes.

Solution Highlights

Old & new sensors sending data in different formats → Designed cloud-based middleware architecture.

Inconsistent data frequency → Normalized sensor data before app consumption.

App-level processing not feasible → Enabled stable, real-time frontend experience.

Performance bottlenecks with no scope for hardware upgrades → Improved performance without hardware changes.

Architecture & Tech

Frontend Dashboard

React.js • WebSockets • Canvas/WebGL Live Charts • Tailwind CSS

Middleware Layer

Node.js Ingestion Pipeline • Kafka Stream Buffer • Data Normalizer

Cloud & Data

AWS ECS / Fargate • Redis Time-Series Cache • PostgreSQL

Vehicle Protocols

CAN Bus Telemetry • MQTT / Protobuf Gateway • IoT Fleet Connectors

Impact & Results

Hardware Upgrades
BeforeNot Feasible ($ millions)
After0 Hardware Changes Needed
Sensor Compatibility
BeforeLegacy vs New Silos
After100% Normalized Telemetry
UI Latency
BeforeLaggy / App Crashes
AfterSub-100ms Live Dashboard
Fleet Coverage
BeforeSingle-Gen Only
AfterMixed-Gen Vehicle Fleets
Share Your Project Brief

Client Testimonial

Kia Product Lead
“StackDot solved a complex automotive data problem without forcing us into expensive vehicle hardware retrofits. Their cloud middleware normalized data across our legacy and modern sensors seamlessly.”
— Kia Product Lead,Head of Connected Vehicles at Kia Motors / AutoDesk Division

Future Roadmap

Integrate predictive AI failure detection for engine and battery telemetry.

Roll out mobile app companion for drivers with live vehicle health diagnostics.

Expand OEM cloud integration for multi-brand fleet operators.

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