Industry: Manufacturing

Focus Area: Data & AI | Knowledge Management | Process Optimization

Quick Overview

A global manufacturing leader faced growing challenges with data fragmentation and inefficient document retrieval across departments. To address this, they implemented an AI-powered knowledge retrieval platform that unified access, streamlined workflows, and enabled faster, smarter decision-making.

Key Outcomes:

  • ⏱️ 3 hours saved per week per team member by eliminating manual document searches
  • 📈 65% improvement in the relevancy of retrieved search results

About the Client

The client is a multi-national manufacturing conglomerate, with a diverse portfolio spanning technology, industrial solutions, and financial services. Operating in highly regulated and data-intensive sectors, the company required a secure, scalable, and intelligent knowledge management system to boost productivity and agility.

Challenges

The client’s teams struggled with:

  • Siloed information stored across various platforms and departments
  • Manual, time-consuming searches for technical documents, compliance materials, and internal communications
  • Lack of contextual connections between documents, limiting insight and slowing decisions
  • Poor collaboration due to inconsistent access to critical knowledge assets

These inefficiencies led to slower innovation, operational delays, and reduced cross-functional alignment.

AI-Driven Solution

The client implemented a custom-built AI-powered knowledge retrieval system designed to unify, contextualize, and securely deliver information across the organization.

Core Components:

  1. 🔄 Multi-source Data Ingestion
    • ETL pipelines consolidated unstructured and structured data across platforms for centralized access
  2. 🧠 Vector-Based Indexing
    • Utilized advanced document embeddings for semantic search and contextual understanding
  3. 🔐 Secure Retrieval with RAG-Based AI
    • On-premises Retrieval-Augmented Generation (RAG) models ensured sensitive data stayed protected
    • Role-based access maintained strict data governance
  4. 📊 AI-Powered Insight Generation
    • Delivered traceable summaries and citations for better transparency and trust in retrieved results
  5. 🎯 Intent-Aware Search Interface
    • Automatically identified user intent and routed queries to the most relevant content with minimal clicks

Results & Business Impact

The AI knowledge platform delivered tangible benefits across teams and functions:

  • ✅ Productivity Gains: Employees reclaimed 3+ hours per week previously spent searching for documents
  • ✅ Improved Relevancy: AI matched queries with higher precision, reducing frustration and errors
  • ✅ Stronger Collaboration: Cross-departmental access to a single source of truth enabled aligned decision-making
  • ✅ Accelerated Innovation: Engineers and product teams accessed real-time data insights faster, improving execution timelines

Conclusion

This case demonstrates how a smart, unified knowledge retrieval platform powered by AI can transform operations in large-scale manufacturing. By connecting fragmented data sources and delivering secure, contextual information, the client fostered a more agile, efficient, and insight-driven enterprise.