This project helps reduce walking time in warehouses using a Python tool that simulates picking routes. Users can test strategies like wave picking and clustering on a 2D layout to find the most efficient method.

My Bachelor's final project

LogiTrack is a Python & Streamlit-powered inventory management system for real-time warehouse optimization. It offers multi-warehouse planning, interactive maps, and supply chain analytics, supporting global coordinates, CSV/SQL data, and customizable parameters.

AI-Enhanced Supply Chain Optimization (AIESCO) is an AI-based algorithm designed to optimize supply chain operations and logistics.

A gravity-aware 3D spatial packing system that places multiple cuboid items inside a fixed container using deterministic heuristics. It sorts items, checks collisions, enforces support under gravity, computes valid (x,y,z) positions, validates constraints, and visualizes final stacking for correctness in a clear, stepwise pipeline.

Three Wheel Holonomic Drive for Warehouse Automation Capstone Project, made by final year students at MITWPU '23.

Reinforcement learning simulation for warehouse workforce optimization. PPO agent learns worker assignments, order flow, and shift logistics across seasonal demand cycles. Foundation for Jack.

Student research: Multi-robot warehouse optimization (Simulation & Physical prototype)

Robotic goods-to-person warehouse picking simulation with throughput analysis

This project implements a Genetic Algorithm (GA) to solve a complex warehouse storage optimization problem. The algorithm determines optimal placement of 20 products across 8 storage zones while satisfying multiple operational constraints.

Warehouse slotting optimizer — De Koster et al. methodology

PPO + LSTM reinforcement learning agent with temporal memory for warehouse workforce optimization. 261 simulated days, 7 workers, 98.2% order completion across ~9.4 years of training.

Slotting simulation stochastic demand

Product affinity co-location analysis

ML-driven warehouse slotting optimization using order frequency patterns

Warehouse pick path S-shape largest-gap optimal

Agentic AI workforce forecasting system using Streamlit, Flask, CrewAI-style agents, LangGraph-style workflow logic, guardrails, and VET/VTO staffing recommendations.

Zone picking strategy wave coordination