warehouse-operations

WareCommand — Control Every Move. A modern warehouse management system in active development, built with .NET 10, ASP.NET Core MVC and PostgreSQL, with traceable inventory, warehouse workflows and Arabic/English support.

Foundation RL model for warehouse workforce scheduling — transformer + LSTM PPO agent, pre-train once and fine-tune any facility in ~50 episodes (~3.3 h on a consumer GPU).

Successfully completed the Flipkart Supply Chain Operations Academy (SCOA) program, gaining foundational knowledge of supply chain operations, warehouse processes, inventory management, operational workflows, workplace safety, and digital operations. Completed the required assessments and training modules.

End-to-end warehouse analytics system: SQL bottleneck detection, RandomForest delay prediction (ROC-AUC 0.876), and a 4-page Streamlit dashboard with automated business recommendations.

Enterprise Inventory & Warehouse Intelligence Platform enabling inventory visibility, warehouse operations, supplier intelligence, procurement workflows, and operational analytics.

An AI-powered shipment forecasting and decision-support framework designed to improve warehouse operations efficiency, reduce shipment delay risks, and optimize logistics costs at scale.

L2 Case 04 – Warehouse Ops MCP Toolkit implementing secure agent-friendly warehouse operations using MCP.

AI dock scheduling and warehouse yard management SaaS frontend demo by XsolAI

Packrift-owned packaging optimization benchmark corpus for SKU-specific DIM, fit, cost, routing, and warehouse planning references.

Warehouse Management System built for multichannel sellers. It helps businesses manage inventory, orders, and warehouse operations across multiple sales channels from one simple and easy-to-use system.

AI-powered warehouse workforce forecasting and VET/VTO optimization using XGBoost, Streamlit, Flask, Docker, and AWS ECS Fargate.