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Knowledge Graph & Semantic Product Intelligence Platform for a Global Industrial Equipment Manufacturer

Plavno developed a semantic data platform for a global industrial equipment manufacturer to unify fragmented product, supplier, technical, and compliance information into one connected knowledge environment.

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Overview

Key Metrics & Impact

The client operated across multiple regions, product lines, and supplier networks, with critical information spread across ERP systems, PLM databases, technical documentation repositories, and compliance records. The platform created a semantic layer above these systems, making relationships between entities explicit and usable for search, analytics, governance, and downstream AI use cases.

  • Improved discoverability of connected product and supplier information

  • Reduced manual effort in tracing relationships across systems

  • Better consistency in how enterprise entities were modeled and understood

  • Stronger foundation for semantic search, analytics, and AI applications

  • Increased confidence in cross-system data relationships and governance

Solutions
Challenges
Use Cases
<span>Key Metrics</span> & Impact
01

Problem

The manufacturer’s data environment had grown organically over time across regions, plants, suppliers, and product teams.

Common challenges included:


  • Fragmented product, supplier, and compliance records across multiple systems

  • Inconsistent naming and taxonomy across business units

  • Weak visibility into relationships between products, components, documents, and certifications

  • Manual effort required to trace connected records during audits, engineering reviews, and procurement workflows

  • Difficulty reusing enterprise data across analytics, search, and governance functions


Instead of operating as a connected information system, the organization relied on partial views of critical business objects.

Problem
02

Challenge

The platform needed to:


  • Connect product, supplier, document, and compliance entities into one semantic model

  • Reconcile inconsistent data definitions across systems

  • Support semantic search and contextual discovery

  • Provide reusable APIs for analytics and internal tools

  • Maintain taxonomy and metadata governance over time


There were also important constraints:


  • Source systems could not be replaced all at once

  • Both structured and unstructured sources had to be connected

  • Entity relationships needed to remain understandable for business users, not only technical teams

  • The solution had to support future AI and automation initiatives without rebuilding the foundation later

Challenge

Solution

Semantic Product Intelligence & Knowledge Graph Platform

A governed semantic layer above ERP, PLM, and document repositories, combining ontology design, entity resolution, and graph-based modeling to make hidden enterprise relationships explicit, connected, and reusable.

Product Highlights

    • Semantic modeling of products, suppliers, documents, and certifications

    • Enterprise knowledge graph layer

    • Entity resolution and normalization across systems

    • Semantic search and contextual discovery

    • APIs for downstream analytics and internal tools

    • Governance controls for taxonomy and metadata consistency

    • Scalable foundation for future AI-driven knowledge use cases

User Flows

    • Connect Enterprise Data: The platform ingests and links product, supplier, technical, and compliance data from multiple source systems.

    • Normalize Entity Meaning: Semantic rules and ontology logic reconcile inconsistent labels and duplicate records.

    • Explore Relationships: Users search and navigate through connected products, parts, suppliers, and supporting documentation.

    • Reuse in Analytics & AI: Structured semantic data is exposed to reporting tools, internal apps, and future AI workflows.

Experience & Scalability

    • Supports global manufacturing organizations with complex product ecosystems

    • Suitable for engineering, procurement, compliance, and governance teams

    • Works across both structured systems and document-heavy environments

    • Designed for long-term semantic governance

    • Scalable for enterprise search, analytics, and AI expansion

Architecture Overview

Deep Dive: Project Architecture

  • Source System Layer: ERP, PLM, supplier databases, compliance repositories, and technical documentation systems.

  • Semantic Modeling Layer: Ontology and schema framework for product entities, supplier relationships, certifications, and supporting metadata.

  • Graph Layer: Relationship storage and traversal logic for connected enterprise knowledge.

  • Search & Discovery Layer: Semantic search and contextual exploration of connected records.

  • Governance Layer: Taxonomy controls, metadata quality workflows, and semantic model maintenance.

  • API & Integration Layer: Structured graph data exposed to internal applications, analytics tools, and future automation systems.

Deep Dive: <span>Project Architecture</span>

Value

Quality & Fidelity

Delivering connected enterprise meaning, stronger metadata consistency, and more reusable product intelligence

Semantic Entity Consistency

Semantic Entity Consistency

The platform standardizes how core business objects are represented across systems.

Ontology
Entity modeling
Metadata consistency
MVP
MVP
Better Relationship Visibility

Better Relationship Visibility

Products, suppliers, documents, and certifications become easier to connect and understand.

Knowledge graph
Relationship mapping
Traceability
MVP
MVP
Better Data Integrity

Better Data Integrity

Critical records are protected through stronger integrity controls, improving confidence in submitted information.

Semantic search
Contextual discovery
Enterprise search
MVP
MVP
Stronger Governance Foundation

Stronger Governance Foundation

The organization gains a more maintainable structure for data reuse and quality improvement.

Governance
Taxonomy control
Data quality
MVP
MVP

Benchmarks

Scale & Reliability

Built to support large enterprise datasets, multiple source systems, and long-term semantic governance

Multi-System Integration

Multi-System Integration

Supports enterprise environments with ERP, PLM, documentation, and supplier systems.

ERP
PLM
Repository integration
Stable Semantic Layer

Stable Semantic Layer

The graph provides a reusable abstraction above changing source systems.

Semantic layer
Enterprise stability
Data abstraction
Large Entity Coverage

Large Entity Coverage

Handles complex product hierarchies and supplier ecosystems at scale.

Enterprise scale
Product complexity
Supplier network
Extensible Architecture

Extensible Architecture

Prepared for new use cases in analytics, governance, and AI.

Extensibility
AI readiness
Long-term platform value

Data Protection

Security & Compliance

Enterprise-grade protection for sensitive enterprise records, supplier data, and compliance-related relationships

Role-Based Access

Role-Based Access

Different teams access only the semantic views and data relationships relevant to them.

Controlled Metadata Governance

Controlled Metadata Governance

Changes to taxonomy and entity structure are managed through governed workflows.

Better Compliance Traceability

Better Compliance Traceability

Related records become easier to audit and validate across systems.

Innovative Experience

Industries & Use Cases

Knowledge graph and semantic data platforms for complex enterprise environments

Industrial Manufacturing

Industrial Manufacturing

Connect products, suppliers, and compliance records into one semantic system.

Compliance-Heavy Operations

Compliance-Heavy Operations

Support traceability and semantic consistency in regulated environments.

Product-Centric Enterprises

Product-Centric Enterprises

Improve discoverability and reuse of product intelligence across teams.

Enterprise Search & AI Readiness

Enterprise Search & AI Readiness

Create a connected data foundation for future intelligent applications.

Delivery Crew

Project Team

High-performing developers for growing companies

Eugene Katovich

Eugene Katovich

Sales Manager

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Competitive Ability

Key Performance Flow

Demonstrating how Plavno transforms fragmented enterprise records into a connected semantic intelligence platform

From disconnected records to connected enterprise knowledge — everything happens through one semantic data flow

01

Capture Product & Supplier Data

Collect records from enterprise systems, technical repositories, and compliance sources.

02

Resolve & Normalize Entities

Standardize names, match duplicate records, and apply ontology logic.

03

Build Semantic Relationships

Connect products, components, suppliers, documents, and certifications inside a graph model.

04

Enable Search, Analytics & Reuse

Expose connected knowledge for discovery, governance, reporting, and AI use cases.

Delivery & Governance

Delivery & Governance

    • Taxonomy management

    • Metadata controls

    • Semantic search support

    • API access for internal teams and tools

Throughput & Scale

Throughput & Scale

    • Multi-system integration

    • Enterprise-wide entity coverage

    • Reusable semantic architecture

    • Scalable foundation for AI and automation

AI & Data Quality Stack

AI & Data Quality Stack

    • Semantic entity modeling

    • Ontology-driven normalization

    • Cross-system relationship logic

    • Improved data trust for downstream analytics

Results

Measurable outcomes delivered by a semantic product intelligence platform

Better Data Discoverability

Better Data Discoverability

Teams can find connected product and supplier information faster.

Better AI & Analytics Readiness

Better AI & Analytics Readiness

Connected knowledge becomes reusable across reporting, search, and automation use cases.

Stronger Metadata Consistency

Stronger Metadata Consistency

The business gains a more unified language for key entities.

Lower Manual Research Effort

Lower Manual Research Effort

Cross-system tracing becomes less dependent on tribal knowledge and manual lookups.

Reduced Compliance Risk

Reduced Compliance Risk

Audits and regulatory reviews become faster and more reliable with explicit, queryable relationships between products, suppliers, and certifications.

Tools We Used

Technology stack

Data Integration

Data Integration

ERP connectors
PLM connectors
API ingestion
Governance

Governance

Metadata workflows
Taxonomy controls
Validation rules
Infrastructure

Infrastructure

Cloud deployment
Scalable storage
Secure architecture
Search & Discovery

Search & Discovery

Semantic search
Contextual navigation
Query APIs
Semantic Layer

Semantic Layer

Ontology modeling
Knowledge graph
Entity resolution

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Frequently Asked Questions

Quick Answers

Find answers to your common concerns

Can the platform connect multiple enterprise systems?

Yes. It is designed to work above ERP, PLM, document repositories, and supplier systems.

Is it only for technical teams?

No. It supports business use cases such as search, compliance, procurement, and product intelligence.

Does it help with AI readiness?

Yes. It creates a connected semantic layer that can support future AI and automation use cases.

Can taxonomy evolve over time?

Yes. The platform includes governance tools for maintaining and extending semantic models.

About Plavno

Why choose Plavno?

Proven by our
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AI-first Delivery

AI-first Delivery

Senior engineers + proven AI components to accelerate time-to-value.

800+ Projects Delivered

800+ Projects Delivered

From MVPs to enterprise platforms at global scale.

Full-stack Team

Full-stack Team

From extension UX to GPU pipelines and global scale.

Testimonials

We are trusted by our customers

“They really understand what we need. They’re very professional.”

The 3D configurator has received positive feedback from customers. Moreover, it has generated 30% more business and increased leads significantly, giving the client confidence for the future. Overall, Plavno has led the project seamlessly. Customers can expect a responsible, well-organized partner.

Sergio Artimenia

Commercial Director, RNDpoint

Sergio Artimenia

“We appreciated the impactful contributions of Plavno.”

Plavno's efforts in addressing challenges and implementing effective solutions have played a crucial role in the success of T-Rize. The outcomes achieved have exceeded expectations, revolutionizing the investment sector and ensuring universal access to financial opportunities

Thien Duy Tran

Product Manager, T-Rize Group

Thien Duy Tran

“We are very satisfied with their excellent work”

Through the partnership with Plavno, we built a system used by more than 40 million connected channels. Throughout the engagement, the team was communicative and quick in responding to our concerns. Overall, we were highly satisfied with the results of collaboration.

Michael Bychenok

CEO, MediaCube

Michael Bychenok

“They have a clear understanding of what the end user needs.”

Plavno's codes and designs are user-friendly, and they complete all deliverables within the deadline. They are easy to work with and easily adapt to existing workflows, and the client values their professionalism and expertise. Overall, the team has delivered everything that was promised.

Helen Lonskaya

Head of Growth, Codabrasoft LLC

Helen Lonskaya

“The app was delivered on time without any serious issues.”

The MVP app developed by Plavno is excellent and has all the functionality required. Plavno has delivered on time and ensured a successful execution via regular updates and fast problem-solving. The client is so satisfied with Plavno's work that they'll work with them on developing the full app.

Mitya Smusin

Founder, 24hour.dev

Mitya Smusin

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