Case Study
AI-Powered BOM Extraction and Optimization Platform
An intelligent system that extracts, normalizes, and manages Bills of Materials from unstructured inputs using AI, enabling natural language interaction, accurate part lookup, and clean, versioned JSON outputs.
Performance
Multi-stage extraction pipelines and optimized LLM workflows enable fast and accurate BOM processing across diverse input formats.
Security
API-based access control, containerized services, and secure cloud storage ensure safe handling of sensitive engineering data.
Percision
LLM-powered normalization, schema validation, and conversational clarification ensure high-accuracy, standardized BOM outputs.
Scalability
Dockerized services, vector search, and cloud storage allow the system to scale across large document volumes and complex BOMs.
Multi-format BOM ingestion
Extracts BOM data seamlessly from emails, PDFs, Excel files, and images.
Natural language BOM interaction
Allows users to create, modify, and clarify BOMs using plain-text instructions.
Structured and traceable outputs
Produces versioned, validated BOMs in clean JSON and exportable formats.
A modular AI-driven document intelligence system combining OCR, NLP, LLMs, and retrieval pipelines for robust BOM automation.
Multi-stage extraction pipeline
OCR, layout analysis, and NLP extract structured BOM entities from unstructured inputs.
LLM-based normalization engine
Standardizes part names, quantities, units, and hierarchies into a unified schema.
Conversational update mechanism
Applies delta-based BOM changes and gathers missing details through natural language interaction.
How It Works
From idea to impact.
Setup
Users upload or forward BOM data in any format, or describe a product setup in natural language.
Connect
OCR, NLP, and retrieval systems connect extracted entities with validation rules and external part databases.
Execute
The system normalizes, validates, and structures BOM data into a clean JSON schema, applying user-defined changes.
Analyze
Users review versioned BOMs, enrich parts with online data, and export finalized outputs for downstream systems.