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.

🌌 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

Data-driven optimization of Teradyne’s excess inventory approval process using Python, lead-time adjusted demand modeling, and financial risk analysis to improve capital efficiency and reduce excess spend.

Inventory optimization & warehouse consolidation analysis using MySQL

Strategic market validation study of a South Korean bakery using 2,400+ transaction records. Leveraged Excel and Google Sheets to perform time-series analysis and product-mix modeling, successfully challenging stakeholder bias with data-backed insights.

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

End-to-end demand forecasting and inventory optimization with Databricks - multi-modal ML (time series, images, tabular), LightGBM, MAPIE conformal prediction and MLOps for retail and fashion.

Supply chain & sales demand forecasting with ML and deep learning (XGBoost, CNN, LSTM, CNN-LSTM, GRU, Transformer). Inventory and replenishment optimization.

Inventory-Optimization-Python-Pulp

Integrated Business Planning AI - Forecast & Supply Planning Platform

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.

Applying classical Operations Research (EOQ, Safety Stock) to optimize Hyperscale Cloud Infrastructure capacity planning and minimize TCO.

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

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

End-to-end retail supply chain analytics demo: generate dummy data, engineer features, train weekly demand forecast model, and optimize replenishment under budget using linear programming. Exposed via FastAPI service.

Supply chain risk & inventory operations — CP-SAT MILP optimization, PPO RL inventory policy, BOM management, supplier risk scoring (rule-based + RF), Clear-to-Build analysis | Enterprise: K8s + Helm + Terraform + MLflow + Prometheus/Grafana | 163 tests

End-to-end retail pipeline with forensic data cleaning, MySQL performance analytics, and a live Streamlit dashboard. Optimizing stock and buyer behavior insights for major events.

End-to-end supply chain analytics for a FMCG company operating in Bangladesh. Covers warehouse network design, vehicle routing, inventory optimisation, and demand forecasting across a 2-warehouse, 50-distribution-house network.

End-to-end inventory decision system that converts demand uncertainty into capacity-constrained order recommendations using quantile forecasting.

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

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

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

Demand forecasting (h=1..7) + inventory simulation (ROP) with LightGBM and Streamlit

AI-based demand forecasting and inventory optimization platform for cable and metals industry. Developed for ARABCAB Scientific Competition.

raw material demand forecasting and supply chain optimization dashboard for industrial operations.

Demand forecasting, inventory optimization, and fulfillment routing in Go. Built from patterns shipping supply chain products at Amazon and Walmart.