Visual Digital Twin Platform
Real – Time Asset Intelligence for Enterprise Fleet Operations
The platform was designed to provide component-level telemetry visibility, predictive fault monitoring, and centralized operational intelligence across distributed vehicle fleets.
Role – Product & UX Lead
Domain – AI / Mobility Systems
Focus – Real-Time Visualisation & Diagnostics
THE CHALLENGE
Fragmented Fleet Visibility Across Distributed Assets
Enterprise fleet operators lacked real-time component-level visibility across distributed vehicles. Telemetry was siloed, fault diagnostics reactive, and operational decision-making dependent on delayed reporting.
This created downtime, inefficient maintenance cycles, and limited predictive intelligence across the ecosystem.
Connected Intelligence Across Vehicles, Components & Cloud
The platform integrates vehicle-edge telemetry, component diagnostics, cloud-based AI processing, and centralized fleet control into a unified real-time intelligence layer.
- Component-Level Telemetry Ingestion
Real-time streaming from distributed ECUs and gateways across fleet assets. - AI-Driven Predictive Modeling
Cloud analytics transforming raw telemetry into proactive maintenance intelligence. - Secure Command & Control Layer
Bidirectional orchestration between fleet command center and in-vehicle systems.
PRODUCT EXECUTION
Designing the Real-Time Fleet Intelligence Interface
The interface translated complex telemetry, predictive insights, and fleet-level orchestration into a clear operational command layer for fleet managers and operators.
REAL - TIME MONITORING
Operational visibility across 3,000+ assets with live component diagnostics and fleet-wide health scoring.
PREDICTIVE ALERTING
AI-driven anomaly detection reducing unplanned downtime through early fault classification.
COMMAND & CONTROL
Centralized orchestration of OTA campaigns, remote diagnostics, and operational directives.
IMPACT
Operational Intelligence at Enterprise Scale
The platform transformed fragmented telemetry streams into a unified operational intelligence layer, enabling proactive fleet management across distributed assets.
28%
Reduction in unplanned maintenance downtime
35%
Improvement in early fault detection accuracy
3,000+ Assets
Monitored across multi-site operations
Single Command Layer
Unified OTA, telemetry, diagnostics & reporting
LEADERSHIP & SCOPE
Driving System-Level Product Strategy
Beyond interface design, the engagement required aligning engineering, cloud architecture, AI modeling, and enterprise stakeholders into a cohesive product vision focused on operational intelligence at scale.
Product Vision & Architecture Alignment
Defined the end-to-end digital twin strategy across vehicle edge, cloud telemetry ingestion, predictive analytics, and enterprise command layers.
Cross-Functional Collaboration
Worked closely with engineering, data science, and mobility domain experts to translate system complexity into operational clarity.
Enterprise Workflow Orchestration
Mapped fleet manager, operator, and system admin workflows to ensure decision-making confidence across distributed assets.
Design System & Scalability
Established a modular interface framework capable of scaling across multi-brand fleet ecosystems and evolving OTA capabilities.
The initiative positioned digital twin intelligence as a strategic foundation for enterprise-scale fleet modernisation and long-term scalability.