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Supply Chain Optimizer

Supply Chain Optimizer

Optimization AI

Hierarchical multi-agent system with domain-constrained specialist delegation for cross-vertical optimization. Orchestrator-mediated coordination across regulatory compliance, demand forecasting, and inventory agents.

PythonMulti-AgentMLXGBoostScikit-learnStreamlitStatistical Analysis

About

Hierarchical multi-agent system for cross-vertical optimization across 2 industry verticals. Enforces domain-specific constraints at the agent level and evaluates optimization quality with statistical rigor.

The Problem

Optimization across complex, interdependent decision spaces requires coordinating procurement, inventory, logistics, and compliance — with constraints varying by vertical.

The Approach

Hierarchical delegation. Domain-specific constraints enforced at the specialist level. The orchestrator resolves inter-agent conflicts through evidence weighting.

Tech Stack

  • Frontend: Streamlit, Plotly, Matplotlib
  • Backend: Python 3.11, Custom Orchestration Framework
  • AI/ML: XGBoost, Random Forest, Scikit-learn, Statistical Analysis (SciPy)