AI Agent AI-Driven Quality Crisis Resolution Digital Worker

Genealogy Agent - Batch Traceability & Impact Mapping

## Graph-Based Traceability The Genealogy Agent uses Breadth-First Search (BFS) algorithms to trace batch relationships bidirectionally. It maps forward traceability (where did this batch go?) and backward traceability (where did materials come from?), calculates impact zones with affected unit counts, and identifies distribution exposure to customers. The agent also detects circular dependencies using Depth-First Search (DFS) to ensure data integrity.

View Core Logic Back to Worker

Part of AI-Driven Quality Crisis Resolution Digital Worker

Portal: Nexgile Autonomex Command

Agent ID: genealogy-agent

Problem Statement

The challenge addressed

## Traceability Complexity When a quality deviation occurs, identifying all affected batches requires tracing forward to finished products and backward to raw materials. Manual genealogy tracking is...

Core Logic

How the agent solves it

## Graph-Based Traceability The Genealogy Agent uses Breadth-First Search (BFS) algorithms to trace batch relationships bidirectionally. It maps forward traceability (where did this batch go?) and ba... ## Graph-Based Traceability The Genealogy Agent uses Breadth-First Search (BFS) algorithms to trace batch relationships bidirectionally. It maps forward traceability (where did this batch go?) and backward traceability (where did materials come from?), calculates impact zones with affected unit counts, and identifies distribution exposure to customers. The agent also detects circular dependencies using Depth-First Search (DFS) to ensure data integrity.

System Navigation

Explore related components

Portal

Nexgile Autonomex Command

Digital Worker

AI-Driven Quality Crisis Resolution Digital Worker

Current Agent

Genealogy Agent - Batch Traceability & Impact Mapping

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