AI-powered pharmaceutical supply chain management using LangGraph agents, OpenAI GPT-4, and optimization algorithms.

大宗商品供应链管理系统，数字供应链

A project showcasing a scheduling algorithm to optimize warehouse robot coordination for efficient product delivery and order fulfillment.

Hybrid evolutionary approach for multi-objective optimization in a real-life transportation problem

Last-mile logistics optimization and scenario-based replanning system using OR-Tools, with KPI analysis, baseline comparison, and interactive Streamlit dashboard

Analyze shipping data to improve delivery performance, customer satisfaction, and logistics.

Motor de inferencia logística basado en IA Simbólica (CLIPS) y Python. Optimiza la asignación de flota mediante reglas de negocio deterministas, integrando persistencia en SQLite para una gestión de pedidos en tiempo real.

A high-performance Power BI analytics suite for B2B supply chain optimization, tracking OTIF, LIFR, and delivery latency metrics for regional fulfillment hubs.

Predictive optimization model designed to improve logistics efficiency for Lavazza by identifying cost-effective warehouse locations and distribution strategies, ultimately saving 15% on transportation costs.

AI-Enhanced Supply Chain Optimization (AIESCO) is an AI-based algorithm designed to optimize supply chain operations and logistics.

Universal Chromatic Engine (UCE™) | The Open Standard for Dry-Phase Biological Pigment Stabilization. Deleting liquid-phase logistics and synthetic dyes via a modular, micronized CMYK model.

Engineered a BI framework to drive growth and operational efficiency. Segmented 90+ customers for churn mitigation, audited logistical ROI to optimize shipping costs, and automated margin protection for discontinued inventory. Delivered actionable KPIs for sales attribution and revenue forecasting using 830+ order records.

Solving the Traveling Tournament Problem (TTP) for the Brazilian Championship (Serie B). Genetic Algorithm optimization achieving 10.9% reduction in total travel distance.

A revenue optimization system combining Association Rule Mining and Logistics Simulation.

An interactive Dash web app that solves and visualizes complex vehicle routing problems for a simulated NYC medical supply chain, comparing Google OR-Tools optimization against a baseline greedy algorithm.

A SQL-based analytical framework identifying profitable inter-mandi tomato trade routes across 11 Indian states. Features a 3-layer data pipeline—from AgMarkNet raw data cleaning to logistics cost modeling—optimized for 3MT truck operations. Includes a Power BI dashboard for real-time arbitrage visualization.

Opti-Logistix, deprem, sel, tsunami gibi geniş çaplı afetlerde kaynakların optimal dağıtımı ve acil yardım araçlarının en etkili rotasını bulmasını sağlayan Yapay Zeka destekli karar destek sistemidir.

High-performance spatiotemporal analysis of AIS vessel traffic (US Coastal Waters, June 2025) correlated with NOAA incident reports. Features an interactive Dash analytical dashboard for fleet monitoring, navigational risk assessment, and operational efficiency insights.

This project focuses on enhancing biomass management efficiency through advanced AI and time series analysis for accurate prediction. The platform utilizes React Native for the frontend, Node.js and Express.js for the backend, MongoDB as the database, and incorporates additional technology with Python.

Enterprise Multi-Agent Logistics Framework: Utilizing LangChain and LLMs for autonomous supply chain optimization and real-time route orchestration.