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 & warehouse consolidation analysis using MySQL

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

🌌 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

Inventory-Optimization-Python-Pulp

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

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.

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

Retail Sales Forecasting Dashboard is a Flask-based web application that predicts future sales and optimizes inventory using Prophet and ARIMA models. It offers store-wise performance insights, trend analysis, interactive forecasting charts, and smart inventory recommendations. With dashboards for sales history, store analytics, KPIs, and 12-week.

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

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

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.

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

Quantile regression implementation with statsmodels using Engel dataset. Analyzes conditional distributions, compares with OLS, visualizes results, and demonstrates inventory optimization applications. Includes diagnostics and alternative approaches.

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

Dual-domain AI framework for airline RM and digital analytics validation