Multi-Agent Order Analysis & Supply Chain Optimization Platform

Core Logic

Serves as central coordinator analyzing requests, creating execution plans, managing workflow steps with dependencies, monitoring agent progress, handling error recovery with retry logic, and aggregating results. Maintains workflow state including current step, tokens used, estimated cost, and completion status. Quality checks validate outputs before delivery.

Core Logic

Gathers comprehensive context through systematic data collection: customer profiles, order history, product specs, inventory levels, supplier info, and market data. Uses database queries, external APIs, and document searches. Stores information in agent memory for downstream agents. Validates data quality with completeness scores.

Core Logic

Processes collected data through structured reasoning and calculation. Applies analytical models for demand forecasting, inventory optimization, cost analysis, and performance benchmarking. Generates detailed breakdowns with calculations, confidence scores, and methodology explanations. Includes visualizations and summary statistics.

Core Logic

Generates tailored recommendations considering impact (low/medium/high/critical), confidence levels, rationale with evidence, required actions, risks, and dependencies. Prioritizes by ROI and feasibility. Provides alternative options when primary recommendations face constraints.

Core Logic

Applies guardrails verifying consistency across agent outputs, validating calculations and business logic, ensuring policy compliance, and flagging issues for human review. Rules cover input validation, output formatting, tool call verification, and content appropriateness. Results include pass/fail status, severity, and findings.

Core Logic

Provides real-time analysis: market overview (size, growth, share), competitor analysis with strengths/weaknesses, price trends with forecasts, demand signals from search/social/industry sources, supply chain insights, and economic indicators. Monitors competitor actions and assesses threat levels. Generates urgency-rated recommendations.

Core Logic

Performs ESG analysis: carbon footprint (Scope 1, 2, 3), ESG scoring with benchmarking, green alternatives with CO2 reduction and cost comparisons, sustainability recommendations for transport/packaging/sourcing/energy/waste, and regulatory compliance (EU Taxonomy, CSRD, SFDR, CBAM, ISO 14001). Identifies implementation effort and priority.

Core Logic

Provides proactive evaluation: overall risk score and category, supplier risks (financial health, delivery reliability, quality, single-source exposure), geopolitical risks by region, operational risks (capacity/quality/technology/HR), and mitigation strategies with cost/effectiveness estimates. Pre-defines contingency plans with triggers, actions, and recovery times.

Core Logic

Applies ML models for demand prediction (7/30/90 day forecasts with confidence intervals), anomaly detection (demand spikes, price anomalies, supply disruptions, pattern breaks), trend forecasting with driver identification, and scenario modeling with probability and impact analysis. Tracks model performance (MAPE, RMSE, MAE, R²) and provides severity-rated anomaly alerts.