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Online: 3K+ Agents Active
Digital Worker 11 AI Agents Active

AI-Powered Multi-Agent Quotation System

Deploys 11 specialized AI agents that work collaboratively to analyze uploaded documents, extract technical specifications, validate compliance requirements, estimate engineering effort, optimize costs, generate alternative configurations, and produce comprehensive quotations with supply chain analysis and sustainability metrics..

11 AI Agents
6 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: quotation-intelligence-worker

Problem Statement

The challenge addressed

Aerospace manufacturers face lengthy quotation cycles (weeks to months) due to complex technical requirements, compliance standards, and manual analysis of CAD files, specifications, and cost data. This delays customer response times and creates inco...

Solution Architecture

AI orchestration approach

Deploys 11 specialized AI agents that work collaboratively to analyze uploaded documents, extract technical specifications, validate compliance requirements, estimate engineering effort, optimize costs, generate alternative configurations, and produc...
Interface Preview 4 screenshots

Input Hub - Upload CAD files, PDFs, and specifications for quotation analysis

Agent Orchestration - View 11 AI agents collaborating on document analysis

Live Processing - Real-time visualization of cost optimization and compliance validation

Results Dashboard - Comprehensive quotation with itemized cost breakdowns and alternatives

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

11 Agents
Parallel Execution
AI Agent

Orchestrator Agent

Complex quotation tasks require coordination across multiple specialized agents, with proper sequencing, conflict resolution, and result synthesis.

Core Logic

Acts as the central coordinator that distributes tasks to specialist agents, manages dependencies between analysis steps, resolves conflicting agent outputs, and synthesizes final consolidated quotation results. Maintains session state and handles error recovery.

ACTIVE #1
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AI Agent

Document Processor Agent

Customer specifications arrive in various formats (CAD, PDF, Excel) requiring manual extraction of part numbers, dimensions, materials, and standards.

Core Logic

Performs OCR on uploaded documents, extracts structured data from tables, identifies entities like part numbers, dimensions, materials, and specifications using NLP. Supports STEP, IGES, PDF, XLSX, and DOCX formats with 85%+ confidence scoring.

ACTIVE #2
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AI Agent

Requirements Analyzer Agent

Technical specifications contain implicit requirements and cross-references that are easily missed during manual review.

Core Logic

Parses customer specifications to extract explicit and implicit requirements, maps requirements to product capabilities, identifies gaps between customer needs and standard offerings, and generates structured requirement matrices.

ACTIVE #3
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AI Agent

Compliance Validator Agent

Aerospace products must meet numerous regulatory standards (DO-160G, MIL-STD-3009, AS9100D) requiring expert knowledge to validate compliance.

Core Logic

Cross-references product specifications against aerospace standards databases, identifies compliance gaps, estimates certification costs and timelines, and generates compliance status reports with specific requirement citations.

ACTIVE #4
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AI Agent

Engineering Estimator Agent

Engineering effort estimation is highly variable and depends on historical project data that is difficult to systematically analyze.

Core Logic

Analyzes technical complexity using historical project data, estimates NRE (Non-Recurring Engineering) costs, predicts development timelines based on similar past projects, and identifies potential technical risks requiring additional engineering effort.

ACTIVE #5
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AI Agent

Cost Optimizer Agent

Pricing involves complex calculations across materials, labor, tooling, and overhead with opportunities for cost savings that are often overlooked.

Core Logic

Calculates component-level pricing with volume tier analysis, identifies cost reduction opportunities through tooling consolidation and material substitution, generates itemized cost breakdowns, and applies margin rules based on customer tier and program type.

ACTIVE #6
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AI Agent

Alternative Generator Agent

Customers may not know about optimized configurations that could better meet their needs at lower cost or shorter delivery.

Core Logic

Generates alternative product configurations based on customer requirements, performs trade-off analysis between cost, performance, and timeline, identifies premium options and budget-friendly variants, and produces comparison matrices with clear pros/cons.

ACTIVE #7
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AI Agent

Supply Chain Analyst Agent

Quotations often fail to account for supply chain risks, geopolitical factors, and logistics constraints that impact delivery commitments.

Core Logic

Analyzes supplier health scores, inventory positions, and lead times. Evaluates geopolitical risks and identifies alternative suppliers. Predicts potential disruptions and generates supply chain risk assessments with mitigation recommendations.

ACTIVE #8
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AI Agent

Sustainability Analyst Agent

Growing ESG requirements demand carbon footprint calculations and sustainability metrics that are complex to compute across product lifecycles.

Core Logic

Calculates Scope 1/2/3 carbon emissions for proposed configurations, evaluates material sustainability including recycled content and conflict minerals. Identifies sustainable alternatives and generates ESG compliance reports with carbon offset recommendations.

ACTIVE #9
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AI Agent

Manufacturing Intelligence Agent

Production feasibility and quality predictions require deep manufacturing expertise that varies across product lines and facilities.

Core Logic

Predicts manufacturing yields and first-pass quality metrics, analyzes capacity constraints and equipment availability, identifies process optimization opportunities, and forecasts production readiness scores with gating item identification.

ACTIVE #10
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AI Agent

Quality Assurance Agent

Quotation accuracy depends on cross-validation of data from multiple sources, which is prone to human error and inconsistencies.

Core Logic

Performs cross-validation of quotation data across all agent outputs, checks for internal consistency in pricing, timelines, and specifications. Calculates overall confidence scores and flags items requiring human review before finalization.

ACTIVE #11
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

The Quotation Intelligence Worker orchestrates a multi-agent AI system through five workflow stages: Input Hub for document upload and configuration, Agent Orchestration for network assembly, Live Processing for real-time analysis visualization, Results Dashboard with multi-audience views, and Export for sharing and ERP integration. The system processes CAD files, PDFs, and spreadsheets while maintaining full audit trails.

Tech Stack

6 technologies

Modern frontend with standalone components

LLM integration (Claude 3.5 Sonnet/Opus, GPT-4)

Vector database for RAG (Pinecone/Weaviate)

Document extraction APIs for CAD/PDF processing

Real-time WebSocket connections for live updates

Distributed tracing for observability (OpenTelemetry)

Architecture Diagram

System flow visualization

AI-Powered Multi-Agent Quotation System Architecture
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