Manufacturing Use Case

Unlock BOM Optimization with AI

Reduce engineering time by 95% and cut material costs by 30%

Discover how Captivix helped a leading manufacturer streamline their Bill of Materials, reduce costs, and improve efficiency using cutting-edge AI technology.

Navigating Complexities of BOM in Manufacturing

A leading industrial equipment manufacturer, known for delivering custom-built machinery, faced a recurring challenge: generating complex Bills of Materials (BOMs) for each order. With high variability and customization, the engineering team spent weeks manually creating accurate BOMs for every project.

Each order required 6–7 engineers and 2–4 weeks to finalize the BOM

Engineers had to assess part availability, vendor lead times, and cost feasibility—all manually

The process was labor-intensive, error-prone, and significantly impacted delivery timelines

BIM Bill of Materials

1
Component Assembly
2
Sub-Assembly A
3
Sub-Assembly B
4
Raw Materials
5
Fasteners & Hardware

Steps to Success

Captivix initiated the engagement with an AI Innovation Workshop, bringing together key stakeholders to identify pain points and opportunities. The BOM creation process stood out as a high-impact, automation-ready use case.

01

AI Innovation Workshop

We kicked off the engagement with a cross-functional AI Innovation Workshop involving engineering, IT, and operations teams. The goal was to align business challenges with AI opportunities.

Mapped the full lifecycle of BOM creation
Identified inefficiencies, manual dependencies, and data gaps
Evaluated AI readiness (data quality, systems, workflows)
Prioritized BOM optimization as the most impactful and feasible use case
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AI Innovation Workshop
02

Data & Process Analysis

Our team conducted a deep dive into existing engineering workflows and data ecosystems to understand the full scope of BOM complexity.

Collected historical BOMs, vendor catalogs, and procurement data
Reviewed ERP integrations and engineering design tools
Identified variables influencing BOM decisions like lead times, part specs, and costs
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Data & Process Analysis
03

AI Model Design & Development

We selected a hybrid AI model architecture based on the complexity of the BOM structures, combining multiple AI techniques for optimal results.

Used Transformer-based NLP models (GPT, BERT) for text and spec parsing
Applied Graph Neural Networks (GNNs) to understand part dependencies
Introduced Reinforcement Learning (RL) for adaptive optimization of parts selection
Leveraged AutoML frameworks to accelerate model tuning and performance testing
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AI Model Design & Development
04

Proof of Concept (PoC) Execution

A prototype AI system was developed and integrated into the existing BOM toolchain. The AI-generated BOMs were reviewed by a senior engineer for validation, enabling a human-in-the-loop workflow that balanced automation with quality assurance.

Generated BOM drafts based on customer requirements and historical patterns
Pulled live data from vendor systems to optimize selections
Conducted multiple test cycles to validate speed, accuracy, and usability
Pilot Development
Proof of Concept (PoC) Execution
05

Integration & Scalability Planning

Following PoC success, Captivix designed a plan to scale the solution across the organization. This phase ensures long-term sustainability and continuous improvement.

Integration with broader ERP systems
Expansion to multiple product lines
Continuous learning loop to improve the AI engine with each order processed
Full Agentic AI Implementation
Integration & Scalability Planning
Results Dashboard

Significant Cost Reduction and Efficiency Gains

Our AI-driven BOM optimization solution delivered substantial results for the client. We achieved a 30% reduction in material costs, a 35% improvement in production efficiency, and a 15% decrease in time-to-market for new products. These improvements directly contributed to increased profitability and a stronger competitive position.

95%
Reduction in planning time
30%
Reduction in material costs
35%
Improvement in production efficiency
15%
Decrease in time-to-market
95% reduction in planning time
Improved accuracy and cost control
15% decrease in time-to-market

Frequently Asked Questions

Common questions about AI-driven BOM optimization

Success Stories

Real Results, Real Impact

See how leading companies have transformed their operations with Captivix.

Ready to Optimize Your Manufacturing Operations?

Let's discuss how AI-powered BOM optimization can transform your engineering workflows and reduce costs.