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Success Story

Leading European Manufacturer: Boosting Product Discoverability with a Semantic Knowledge Graph 

A leading European manufacturer used Graphwise's semantic technology to create a unified product library serving as a central hub for product information, delivering a 360° portfolio view and improving discoverability for its partners.

The Client

Leading European manufacturer of electrical components serving a large network of partners and integrators with hundreds of product lines spanning thousands of diverse products

The Challenge

The manufacturer needed to improve product discoverability and demonstrate optimal balance between quality, price, availability, ease of use, and support to enhance market positioning and simplify integration for partners

The Solution

Using GraphDB and semantic technology, the manufacturer created a unified product library that integrates scattered product information from multiple sources into a central, searchable hub

Technical capabilities

  • Flexible graph data model expandable according to business needs and industry standards
  • Natural language querying via LLM integration enabling teams to search without technical expertise

Business outcomes

  • Improved market positioning through better product information organization and accessibility
  • Provided easier product integration for partners and integrators via enhanced discoverability

The Challenge

The core problem was diverse and siloed data. The manufacturer operated at large scale, handling hundreds of product lines with thousands of products each. Every product had diverse characteristics including specific properties, intended use, modifications, manufacturing complexity degrees, and assembly options. 

Also, information addressing various product lifecycle aspects (engineering drawings, fact sheets, marketing materials, quality measurements, and testing data) was scattered across different systems and existed in many formats.

On top of that, multiple teams were responsible for creating, storing, and maintaining these resources. This created inconsistencies and made it difficult to provide partners and integrators with accurate, discoverable product information.

The Solution

After identifying product lines, catalog systems, and engineering repositories, Graphwise built a semantic knowledge graph-based product library powered by GraphDB that integrated correct, current product information from multiple sources into practical knowledge.

The solution unified and standardized meaning across information resources using flexible graph data models and ontologies. Rich metadata enabled clear identification and significantly improved discoverability, while LLM integration allowed different teams to perform natural language queries with professional-quality results.

The Impact

The semantic knowledge graph delivered comprehensive improvements across the manufacturer’s operations:

  • 360° portfolio view providing complete visibility across all products and services
  • Flexible, expandable data model that adapts to evolving business needs and industry requirements
  • Seamless integration with existing systems and processes without disrupting workflows
  • Powerful semantic search capabilities over harmonized data with granular filtering, faceting, and full-text search
  • Natural language control via LLM-assisted navigation and querying, democratizing data access across teams

The implementation established a common language for interconnecting and managing disparate systems, giving the manufacturer a holistic view of all product information resources while dramatically improving usability and discoverability.

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Details

Industry: Manufacturing
Solution: GraphDB
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Facing Similar Challenges?

Struggling with scattered product data that makes it hard for partners to find and integrate your solutions?

Whether you're a manufacturer, distributor, or product-focused organization, Graphwise can help you:

  • Unify fragmented product information into one discoverable knowledge hub 
  • Enable natural language search and advanced filtering for non-technical users
  • Create flexible data models that evolve with your business and compliance needs 
  • Improve partner experience and market positioning through better product discoverability

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