logistics-optimization

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

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

大宗商品供应链管理系统，数字供应链

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

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

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.

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

Lightweight, offline-first routing engine designed for edge logistics—maximizing ROI by anchoring routes around high-value priorities and cutting mileage by 13.26% via deterministic 2-Opt refinement.

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

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.

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.

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

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

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 revenue optimization system combining Association Rule Mining and Logistics Simulation.

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.

GiriGo leverages data analytics and route optimization to streamline logistics and urban mobility. We seek to integrate OpenAI's conversational AI into our platform to power intelligent, automated customer support and improve dispatch efficiency for our growing network of service providers.

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.

Rust library for solving TSP, CVRP, and VRPTW vehicle routing problems with nearest-neighbor, Clarke-Wright, 2-opt, genetic algorithm, and ALNS solvers. Includes WASM/npm support.