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

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

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

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

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

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.

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.

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.

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.

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

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.

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

Análisis End-to-End de E-commerce con SQL avanzado. KPIs, Análisis de Cohortes (RFM) y Auditoría Logística.

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.