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Development of a Secure Data Storage and Vehicle Data Management Platform with AI-Driven Predictive Analytics

halo-lab.com

Automotive

Information technology

Business services

Challenges in Vehicle Data Management and User Experience

Insurance companies and automotive corporations face difficulties with complex software interfaces, real-time vehicle tracking, predictive maintenance, and accident reconstruction. Competitors' platforms lack modern design aesthetics and fail to align with technological innovation, creating barriers for non-technical users.

About the Client

A SaaS startup specializing in vehicle data collection, AI-powered predictive analytics, and secure cloud storage solutions for transportation and automotive industries

Key Project Goals

Create an intuitive UI/UX for non-technical users to manage vehicle data
Implement AI-driven predictive analytics for vehicle behavior
Develop real-time tracking and risk prediction capabilities
Establish secure data storage with granular access controls
Create a modern brand identity reflecting technological innovation

Core System Capabilities

Drag-and-drop interface for data organization
Real-time vehicle tracking dashboard
AI-powered predictive maintenance alerts
Accident reconstruction visualization tools
Secure collaboration workspace with access controls
Multi-vehicle data aggregation from 75+ data types

Technology Stack Requirements

React for frontend development

AI/ML frameworks for predictive analytics

Cloud-native architecture (AWS/GCP)

WebGL for 3D data visualization

Monorepo structure with Nx

System Integration Needs

Vehicle APIs from Stellantis, Mercedes, BMW
Third-party cybersecurity tools
Single Sign-On (SSO) providers
Cloud storage APIs (AWS S3, Google Cloud Storage)

Performance and Security Standards

Support for 48,000+ concurrent vehicle connections
End-to-end encryption for data at rest/motion
99.99% system uptime SLA
GDPR-compliant data handling
Scalable microservices architecture

Expected Business Outcomes

Enables European market expansion through superior data management capabilities, reduces vehicle downtime by 30% through predictive analytics, increases user adoption with modern UI/UX, and establishes brand leadership in automotive SaaS solutions through innovative design and functionality.