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

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!

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

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.

Inventory-Optimization-Python-Pulp

🌌 ChaosChain-AI: Next-Gen Supply Chain AI Simulator Advanced AI control tower combining chaotic demand modeling, Monte Carlo simulations, and multi-factor risk scoring. Features real-time monitoring, predictive analytics, and automated mitigation across global supply chains. 🔬 Research | 🏭 Supply Chain AI | 🤖 Machine Learning |📊 Simulation

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

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.

An end-to-end SQL data analysis project using retail datasets to extract business insights.

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.

Machine Learning project for retail demand forecasting and inventory optimization using ARIMA and Random Forest models.

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

Excel-based sales analysis of Zara's product performance, customer behavior, and store layout optimization with actionable retail insights

A comparison between Large Language Models for Inventory Optimization

This project explores retail chain performance in New Zealand by combining sales forecasting, regional sales analysis, and supply chain insights. Using real data and Python (including Prophet for forecasting), it uncovers patterns and helps identify areas for improvement in inventory and operations.

AI-powered supply chain optimization project combining MILP and neural network extensions for efficient bicycle production and inventory utilization.

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.