AI Agent Enterprise Multi-Agent Parts Procurement & Intelligence Platform

Vehicle Identification & Specification Analyzer

Parses 17-character VIN to extract WMI, VDS, and VIS sections. Queries OEM databases for complete specifications: engine code, displacement, fuel type, power output, transmission, body style, drive type, manufacturing plant, and production date. Retrieves open recalls and TSBs. Results cached with LRU policy achieving 70%+ hit rates. Confidence scores provided for each decoded element.

View Core Logic Back to Worker

Part of Enterprise Multi-Agent Parts Procurement & Intelligence Platform

Portal: Nexgile VeloForce Nexus

Agent ID: VIN Decoder Agent

Problem Statement

The challenge addressed

Accurate parts lookup requires precise vehicle identification including make, model, year, engine specs, and applicable recalls/TSBs. Manual decoding is error-prone and misses critical information.

Core Logic

How the agent solves it

Parses 17-character VIN to extract WMI, VDS, and VIS sections. Queries OEM databases for complete specifications: engine code, displacement, fuel type, power output, transmission, body style, drive ty... Parses 17-character VIN to extract WMI, VDS, and VIS sections. Queries OEM databases for complete specifications: engine code, displacement, fuel type, power output, transmission, body style, drive type, manufacturing plant, and production date. Retrieves open recalls and TSBs. Results cached with LRU policy achieving 70%+ hit rates. Confidence scores provided for each decoded element.

System Navigation

Explore related components

Portal

Nexgile VeloForce Nexus

Digital Worker

Enterprise Multi-Agent Parts Procurement & Intelligence Platform

Current Agent

Vehicle Identification & Specification Analyzer

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