The code for the SRDQN algorithm to train an agent for the beer game problem

This is an Analysis to optimise inventory managemnt for FitCapacity company by analyzing sales and inventory data using SQL and PowerBI

Constrained optimization problems, including linear,network, dynamic,integer, and nonlinear programming, decision trees, queueing theory and Markov decision processes.

This project provides an inventory optimization tool that uses synthetic data and applies demand forecasting, inventory classification, safety stock calculation, and other inventory management techniques using AI/ML!

Predicting daily sales using store, promotions, competition, and time-series data

Inventory-Optimization-Python-Pulp

A production-ready, end-to-end system for spare parts inventory management. This project combines advanced forecasting (TSB, Prophet, SARIMAX), mathematical optimization (CPLEX), and supply chain simulation (anyLogistix) to achieve 98.9% forecast accuracy and a 39% ROI improvement.

An AI-based inventory optimization system that leverages machine learning to predict demand, recommend menu items, and streamline stock management for restaurants and food service businesses.. — all deployed through a real-time Stream lit web app.

End-to-end Deep Learning (TFT) demand forecasting system for Retail/FMCG with automated MLOps pipeline on Google Cloud (Vertex AI) for inventory optimization. Demonstrates advanced time series modeling, feature engineering, explainability (SHAP), and scalable deployment.

Demand forecasting model for retail inventory planning using time series and machine learning.

A comparison between Large Language Models for Inventory Optimization

🎥 Data-driven insights for movie rentals! SQL-powered analysis to optimize inventory, boost revenue, and enhance customer engagement.

Data analysis project on Mint Classics Company database using MySQL Workbench

Modelado predictivo de sucursales con machine learning para mejorar la gestión de inventario.

Unlock smarter inventory decisions by combining Generative AI and MongoDB Atlas Vector Search.

A project aimed at forecasting food demand using historical sales data and external factors. By applying machine learning models, this project helps optimize inventory management and minimize food waste, with visualizations provided in Tableau.

This project analyzes inventory data for Mint Classics Company using MySQL Workbench to optimize storage and support the closure of a warehouse. Key insights include warehouse utilization, product demand, sales trends, and payment analysis to drive data-based inventory decisions.