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.

The neural network for modern pharmacy operations. An intelligent ERP system that optimizes inventory, automates prescription workflows, and delivers real-time business intelligence for pharmaceutical retail.

🌌 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

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.

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

Inventory optimization & warehouse consolidation analysis using MySQL

Inventory-Optimization-Python-Pulp

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.

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

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

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 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.

Integrated Business Planning AI - Forecast & Supply Planning Platform

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

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

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.