Enterprise Multi-Agent Parts Procurement & Intelligence Platform

Core Logic

Acts as central nervous system analyzing mission requests, creating execution plans, distributing tasks to specialized agents, monitoring via distributed tracing with span hierarchies, implementing circuit breakers for external failures, and aggregating results with quality validation. Maintains correlation IDs for traceability and generates performance metrics including time savings, cost savings, and accuracy scores.

Core Logic

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.

Core Logic

Performs parallel searches across all 84 locations using weighted priority based on fulfillment success rates and geographic proximity. Implements LRU caching with configurable TTL achieving 68% hit rate. Tracks stock quantity, reserved quantity, available quantity, reorder points, and lead times. Results ranked by availability confidence and delivery feasibility. Strategy adapts by part category, urgency, and customer tier.

Core Logic

Applies 6-factor weighted scoring: Year Match (25%), Model Match (35%), Engine Type (30%), OEM Status (10%). Scores 0-100 per factor producing overall compatibility score. Parts >95% marked 'direct fit', 85-95% 'compatible', 70-85% 'requires verification', <70% excluded. Generates detailed factors with explanations, warnings, installation notes, and aftermarket cross-references.

Core Logic

Calculates optimal pricing with multiple discount layers: base tier discount (Platinum 18%, Gold 15%, Silver 12%, Bronze 10%), volume discounts, promotional campaigns, and competitive positioning. Generates detailed breakdowns showing list price, each discount component, and final price. Provides competitor comparison and timing recommendations based on market trends.

Core Logic

Applies Dijkstra's algorithm on delivery network graph with 84 nodes and 247 edges. Calculates optimal paths considering distance, duration, stops, vehicle requirements, and departure constraints. Supports same-day, express, standard, and pickup methods with cost/ETA calculations. Provides stop sequences, carrier assignments, and on-time probability scores using historical performance data.

Core Logic

Analyzes mileage patterns, service history, component age, and usage conditions to predict failure probability. ML models trained on historical data identify parts approaching end-of-life. Calculates maintenance urgency (immediate/soon/scheduled/preventive), failure probability, time-to-failure, preventive vs. reactive cost savings, and optimal scheduling based on mileage/time thresholds.

Core Logic

Calculates carbon footprint including manufacturing emissions, transportation CO2, and packaging. Computes total CO2 kg, trees for offset, industry comparison, and offset cost in euros. Identifies eco-alternatives: remanufactured parts (68% lower footprint), core exchange programs, parts with ISO 14001/EU Ecolabel certifications. Tracks water usage, energy, waste, recyclability, and hazardous materials.

Core Logic

Analyzes real-time market data for price trends (rising/falling/stable with 6-month change), quarterly demand forecasts with confidence intervals, competitor pricing comparison, seasonal factors by month, and historical price visualization. Generates actionable recommendations like 'buy now' before increases or 'stock up' ahead of demand spikes.

Core Logic

Verifies quality through: overall score (0-100), defect rate, supplier tier (preferred/approved/conditional/new), certifications (ISO 9001, IATF 16949, ECE R90). Analyzes defect patterns by type, frequency, severity. Tracks batch manufacturing date, origin, test results. Provides warranty analysis: period, coverage, claim rate, costs, extended options.

Core Logic

Assesses risk with scores (0-100) and levels (critical/high/medium/low). Identifies specific risks by type (supplier/logistics/geopolitical/disaster/demand/regulatory) with probability and impact. Maintains alternative supplier database with lead times, price differences, quality ratings. Pre-defines contingency plans with triggers, actions, teams, activation times, and cost impacts.