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DATADOVE

AI-Powered Manufacturing Automation

Manufacturing Workflow Automation
AI-Powered Manufacturing Automation
Client

Ztronix

Industry

Manufacturing

Country

India

Automating BOM Extraction & Procurement Workflows
OVERVIEW

Automating BOM Extraction & Procurement Workflows

DATADOVE engineered an AI-powered backend automation system for manufacturing operations focused on BOM extraction and raw material planning. Engineering teams previously depended on manual extraction of part numbers, quantities, and specifications from highly complex PDF drawings.

Manual Processes Slowing Manufacturing Operations
CHALLENGE

Manual Processes Slowing Manufacturing Operations

The organization handled large volumes of engineering documents daily, resulting in slow processing cycles, operational bottlenecks, and procurement delays. Teams lacked workflow visibility, and manual validation introduced frequent data inconsistencies and rework.

AI-Driven Backend Systems Built on AWS
SOLUTION

AI-Driven Backend Systems Built on AWS

Using AWS Bedrock, Python, Node.js, and Amazon S3, DATADOVE automated PDF ingestion, AI-powered extraction, workflow orchestration, and procurement planning. The solution transformed unstructured engineering documents into structured operational intelligence.

Automation Efficiency

Reduced BOM extraction time by nearly 80% across manufacturing workflows.

Operational Visibility

Enabled real-time workflow tracking and procurement planning transparency.

Scalable Infrastructure

Built modular AI systems capable of handling enterprise-scale document processing.

WORKFLOW

End-to-End Manufacturing Automation Pipeline

01

PDF Upload

Engineering PDFs, cable harness diagrams, and BOM sheets are securely uploaded and stored in Amazon S3 for automated processing workflows.

02

AI BOM Extraction

AWS Bedrock and Python-based AI models automatically extract BOM items, quantities, descriptions, and vendor references from unstructured engineering documents.

03

Review & Validation

Internal teams can validate extracted data, edit workflows, and reprocess requirements without restarting the operational pipeline.

04

Raw Material Planning

Structured BOM data flows into procurement planning systems where inventory checks, shortages, and vendor recommendations are automatically calculated.

05

Vendor Intelligence

The platform aggregates supplier pricing, stock availability, MOQ, and procurement insights to support operational decision-making.

06

Completion & Reporting

Completed workflows are archived for reporting, operational visibility, and future manufacturing reference.

Technology Stack

AWS BedrockPythonNode.jsAmazon S3CI/CD Pipelines
RESULTS

Operational Impact & Outcomes

01

~80% reduction in manual BOM extraction time

02

Improved procurement planning efficiency

03

Real-time workflow visibility for teams

04

Higher operational accuracy and consistency

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