Manufacturing
Data & AI

Unified Data for Knowledge Retrieval for a Global Manufacturer Client

Case Study Glance Shape

At a glance

Faced with fragmented data and inefficient access to critical documents, the client implemented an AI-powered knowledge retrieval solution. This enabled faster, more accurate information access across departments and improved decision-making efficiency.

3 hours

saved per week from every team member after eliminating manual search across tools

65%

increase in search result relevancy

About the client

The client is a global manufacturer with operations across multiple sectors, including technology and financial services. The AI-driven knowledge solution supported greater cross-functional alignment and streamlined internal workflows.

Challenges

An overload of documents with minimal contextual linkage, combined with fragmented data across teams and departments, makes it challenging to access up-to-date insights quickly, hindering informed decision-making.

Solutions

  • Connected multi-source data ingestion using ETL pipelines for unified access
  • Vector-based document indexing leveraging proprietary models for accurate contextual search
  • On-prem RAG-based AI models to provide secure and relevant retrieval
  • AI-driven insights offering traceable summaries with strict access controls
  • Automated search intent classification to streamline user inquiries

Results and benefits

The AI platform enhanced productivity and knowledge transparency by delivering contextual answers with traceability and role-based access. Manual search efforts were reduced, enabling faster innovation and improved collaboration across product and engineering teams.