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Enhanced Knowledge Base Search System for Automotive Safety Manufacturer
  1. case
  2. Enhanced Knowledge Base Search System for Automotive Safety Manufacturer

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Enhanced Knowledge Base Search System for Automotive Safety Manufacturer

n-ix.com
Automotive
Information technology

Current Knowledge Management Challenges

The client faces inefficiencies due to fragmented internal knowledge storage across multiple platforms, leading to time-consuming manual searches, inconsistent information access, lack of multimedia integration in documentation, security vulnerabilities in admin platforms, and performance limitations during high-traffic periods.

About the Client

Manufacturer of car safety systems and equipment with global operations

Key Project Goals

  • Implement intelligent search capabilities across distributed knowledge repositories
  • Improve documentation accuracy through multimedia integration
  • Enhance system security with centralized authentication
  • Optimize performance for enterprise-scale usage

Core System Capabilities

  • Full-text search with relevance prioritization
  • Multi-attribute filtering (document status, category, etc.)
  • Media-rich content management (images/videos)
  • Single sign-on integration with Azure AD
  • Distributed caching mechanism for high availability

Technology Stack

MinIO
React
TypeScript
GraphQL
PostgreSQL
Keycloak
Prizma
NGINX

System Integrations

  • Microsoft Azure AD
  • Existing internal knowledge platforms
  • Virtual machine infrastructure

Operational Requirements

  • Support for 5,000+ concurrent users
  • Sub-second search response times
  • 99.9% system availability
  • Role-based access control
  • Content version management

Expected Business Outcomes

Anticipated 20% productivity improvement through faster information retrieval, enhanced decision-making accuracy with visual documentation, reduced security risks via centralized authentication, and minimized operational disruptions through optimized system performance.

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