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System Status
Online: 3K+ Agents Active
Digital Worker 6 AI Agents Active

Supply Chain Risk Prediction Digital Worker

Deploys specialized agents to continuously monitor component lifecycles, analyze supplier financial health and certifications, assess geopolitical risks (tariffs, sanctions, trade restrictions), evaluate sustainability metrics, and generate ranked mitigation strategies with human approval gates before execution..

6 AI Agents
5 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: supply-chain-risk-worker

Problem Statement

The challenge addressed

Electronics manufacturers face component obsolescence, supplier disruptions, and geopolitical risks that can halt production lines. Manual supply chain monitoring cannot track thousands of components across global supplier networks, leading to reacti...

Solution Architecture

AI orchestration approach

Deploys specialized agents to continuously monitor component lifecycles, analyze supplier financial health and certifications, assess geopolitical risks (tariffs, sanctions, trade restrictions), evaluate sustainability metrics, and generate ranked mi...
Interface Preview 4 screenshots

Supply Chain Risk Mission Control - Configuration interface for initiating supply chain analysis with target component selection, analysis type options (Obsolescence Risk Analysis, Supply Chain Analysis, Alternative Search, or comprehensive Full Analysis), priority level classification, and optional context input. The AI Agent Network panel displays 6 specialized agents (Alt Sourcing, Risk Analysis, Orchestrator, Impact Analysis, Strategy, Documentation) with their capabilities including multi-source data aggregation, ML-powered risk scoring, semantic component matching, BOM analysis, and automated strategy generation. Connected data sources include IHS Markit, SiliconExpert, Digi-Key, Mouser, SAP ERP, and Component DB.

AI Agentic Workflow - Agent Workspace - Real-time monitoring of multi-agent collaboration at step 2 of 6, showing 78% completion progress. The active agents panel displays Orchestrator, Data Collection, Risk Analysis, Geopolitical Risk, and Sustainability & ESG agents, all with completion status. The Orchestrator Agent details show 3/10 reasoning steps, 4 tools utilized, 0 memory items, using Claude-3-Opus model with 4,096 max tokens at 0.7 temperature. Live event stream captures agent activities including Business Impact Agent thinking, autonomous actions for predictive analysis, tool-specific comparator operations, and alternative finder tasks.

Supply Chain Risk Analysis Results - Comprehensive risk assessment dashboard for MLCC-0402-10uF ceramic capacitor showing HIGH RISK score of 78/100 with 6-month timeline to EOL. Risk factors analysis panel details lifecycle status (95/100 degrading - NRND status confirmed via PCN), inventory availability (72/100 degrading - global stock declining with lead times extending), price volatility (68/100 degrading - consistent price increases over 12 months), alternative availability (45/100 stable - multiple alternatives identified requiring qualification), and supplier concentration (82/100 stable - single source manufacturer). The interface includes 21 tool calls, 20 data sources accessed, and 91% confidence level with options to view recommendations.

Executive Summary - Supply Chain Risk Intelligence - Critical alert banner shows component risk identified with active supply disruption requiring immediate action, including HIGH risk score (78/100), active supply alert, urgency timeline (7 days for LTB with TSMC alert, 105 days for production impact), and 8 AI agents deployed. Scenario summary displays input parameters (supply chain risk analysis for critical components at risk, multi-tier supplier network analysis, 8 specialized agents, geopolitical/market/sustainability data sources), process execution (multi-agent AI risk assessment completed in 34 seconds, 21 API calls, 9,500 tokens used, 3 geopolitical risks analyzed), and output results (HIGH risk level 78/100 with active supply alert, $4.2M revenue at risk across 8 products, 0 viable alternatives found requiring immediate assessment, 4 AI-generated insights, and recommended action to approve expedited dual-sourcing strategy with immediate LTB due to TSMC capacity alert). Key achievements highlight rapid risk assessment in 34 seconds, 8 AI agents collaboration, 0 alternative components identified, 1 critical geopolitical risk, and proactive risk mitigation with $4.2M revenue protection via mitigation plan.

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

6 Agents
Parallel Execution
AI Agent

Component Lifecycle Analyst Agent

Tracking lifecycle status (Active, NRND, EOL) across thousands of components from hundreds of manufacturers requires continuous monitoring that exceeds human capacity.

Core Logic

Monitors component lifecycle databases and manufacturer announcements for status changes. Identifies components transitioning to Not Recommended for New Designs (NRND) or End-of-Life (EOL). Calculates remaining procurement windows and last-time-buy deadlines. Prioritizes components by criticality, quantity requirements, and replacement difficulty.

ACTIVE #1
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AI Agent

Supplier Risk Assessment Agent

Supplier failures can halt production, but assessing supplier health requires analyzing financial statements, quality certifications, delivery history, and capacity utilization across a complex supplier network.

Core Logic

Evaluates supplier risk across multiple dimensions: financial stability (credit ratings, revenue trends), quality performance (PPM rates, certification status), delivery reliability (on-time metrics, lead time trends), and capacity availability. Generates composite risk scores with contributing factor breakdown. Monitors multi-tier supplier networks for cascading risk.

ACTIVE #2
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AI Agent

Geopolitical Risk Agent

Global supply chains are vulnerable to tariffs, sanctions, trade restrictions, and regional conflicts that can disrupt component availability overnight.

Core Logic

Monitors geopolitical events affecting supplier regions and trade routes. Assesses tariff exposure by component and supplier country of origin. Tracks sanction lists and export control regulations. Evaluates trade restriction risks and regional stability factors. Provides early warning alerts for emerging geopolitical disruptions.

ACTIVE #3
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AI Agent

Alternative Sourcing Agent

Finding replacement components requires matching electrical, mechanical, and environmental specifications while considering qualification costs, lead times, and supplier reliability.

Core Logic

Searches component databases for form-fit-function alternatives. Analyzes specification compatibility including electrical parameters, package dimensions, and operating ranges. Evaluates alternative suppliers on price, lead time, minimum order quantities, and risk profile. Calculates total cost of qualification including engineering effort, testing, and documentation updates.

ACTIVE #4
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AI Agent

Market Intelligence Agent

Component pricing and availability fluctuate based on market demand, commodity costs, and supply constraints that are difficult to track across global markets.

Core Logic

Monitors real-time market data including commodity prices, demand forecasts, and supply alerts. Tracks industry-wide allocation announcements and capacity expansions. Analyzes historical pricing trends to forecast cost trajectories. Identifies optimal procurement timing windows based on market conditions.

ACTIVE #5
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AI Agent

Sustainability Assessment Agent

Regulatory requirements and customer expectations increasingly demand sustainable supply chains, but assessing supplier environmental and social compliance is complex and data-intensive.

Core Logic

Evaluates supplier ESG (Environmental, Social, Governance) ratings and certifications. Calculates carbon footprint contributions by component and supplier. Tracks regulatory compliance including RoHS, REACH, conflict minerals, and emerging sustainability mandates. Identifies sustainability risks that could affect customer relationships or regulatory standing.

ACTIVE #6
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

Six-stage supply chain intelligence workflow using ReAct pattern agents to analyze component obsolescence, supplier risk, market dynamics, and regulatory compliance. Provides ranked recommendations with cost-benefit analysis and requires human approval before implementing mitigation actions.

Tech Stack

5 technologies

Integration with component lifecycle databases (NRND, EOL tracking)

Real-time market data feeds for commodity prices and demand trends

Geopolitical risk assessment APIs

ESG and sustainability rating data sources

Multi-tier supplier network visibility systems

Architecture Diagram

System flow visualization

Supply Chain Risk Prediction Digital Worker Architecture
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