Inspiration Gallery

by Samir Saci (@samirsaci)

Comprehensive collection of 100+ supply chain analytics case studies covering optimization, forecasting, warehouse operations, sustainability, and AI agents. Samir is a supply chai...

by Vaishnavi Thakre (@VaishnaviThakre)

An AI-powered generative chatbot that uses LLMs, RAG architecture, and predictive analytics to answer conversational queries about supply chain management.

by Emirhan Silsupur (@emirhansilsupur)

Project focused on demand forecasting using advanced analytics to predict weekly sales units for various store-SKU combinations, helping with inventory management and promotional p...

by Appointat

AI multi-agent system where each supermarket outlet is an independent agent and the central warehouse is a special agent with global information, creating adaptive supply chain coo...

by Ankit Raj (@ankitrajsh)

Repository applying ML to optimize supply chain management covering demand forecasting, inventory, logistics, and supplier selection with real-world datasets.

by Kevin Fasusi (@KevinFasusi)

A Python library for supply chain analysis, modelling, and simulation designed to replace Excel and VBA workflows. Includes a chat bot assistant for querying data.

by Juan Duque Gonzalez (@jduquegonzalez)

Jupyter notebooks solving classic supply chain optimization problems including Transportation and Transhipment Problems, inspired by MIT's MicroMaster in Supply Chain Management.

by Jose Rico (@josericodata)

Streamlit app for pharmaceutical supply chain data analytics including LSTM demand forecasting, inventory optimization, customer segmentation, and statistical testing.

by Katala Sanjana (@katala-sanjana)

AI-powered responsive dashboard with multi-agent workflows using LangGraph orchestration and TinyLLaMA LLM for comprehensive supply chain analysis.

by Tanisheesh (@tanisheesh)

Python and Streamlit-powered inventory management system for real-time warehouse optimization with multi-warehouse planning, interactive maps, and supply chain analytics.

by Samir Saci (via n8n template)

No-code AI agent connected to Transportation Management Systems that answers questions about shipments, built with n8n workflow automation and GPT-4o connected to BigQuery.

by Samir Saci

A Telegram bot built with n8n connected to a GPT-powered agent enabling voice commands for inventory cycle counts — designed for companies with low data maturity.

by Enje Godinez (@enjegodinez)

Kaggle notebook using Facebook Prophet for demand forecasting on the DataCo SMART SUPPLY CHAIN dataset for big data analysis.

by Simon Tagbor (@simontagbor)

Kaggle notebook combining demand forecasting with inventory optimization, demonstrating the link between accurate predictions and optimal stock levels.

by Graisy Biswal (@graisybiswal)

Kaggle notebook covering demand forecasting techniques specifically for supply chain analytics, with exploratory analysis and multiple model comparisons.

by DataTalks.Club community

2024 Kaggle competition challenging participants to find the best ML solution for retail demand forecasting, with hundreds of solutions from individual data scientists.

by Multiple individual competitors

Kaggle competition to predict grocery delivery orders at Rohlik warehouses across Europe, with publicly shared solutions achieving 3-5% MAPE.

by YeonJun In (YJ_STU) — undergraduate student at Kyung Hee University

Winning solution for the M5 Walmart sales forecasting competition, achieving 22.4% improvement over the top benchmark using an ensemble of LightGBM models.

by Samir Saci

Using XGBoost for retail store demand forecasting combined with inventory rules to reduce stockouts and carbon footprint.

by Stranieri et al. (frenkowski)

Python library for addressing supply chain inventory management using deep reinforcement learning, published in the International Journal of Production Economics (2024).

by Ilya Katsov (@ikatsov)

Collection of reference Jupyter notebooks for enterprise AI/ML including a multi-echelon supply chain RL prototype optimizing control policies.

by mangushev (@mangushev)

Supply chain inventory management using RL actor-critic methods (A2C and PPO) to minimize stockouts, reduce waste, and balance quantities.

by Yudhisteer (@yudhisteer)

Using reinforcement learning to design autonomous robot logistics models for supplying garment parts between factory departments.

by frePPLe community (open-source)

Open-source production planning and scheduling system implementing time series forecasting, theory of constraints, pull-based planning, and lean manufacturing.

by Carina de Souza (@carinadesouza)

Internship project analyzing supply chain of a Fashion and Beauty startup selling makeup products, with an interactive Streamlit dashboard.

by Deepak Mittal (@yesdeepakmittal)

Supply Chain Maturity model combining ML, NLP, and real-time analysis from databases, macroeconomic indicators, and social media sentiment.

by Oprishri (@Oprishri)

Three-step ML pipeline for demand forecasting: first cluster items, then classify them, then predict demand — a novel approach to SC forecasting.

by Samir Saci (@samirsaci)

Methodology to report CO2 emissions of a distribution network using Python and PowerBI, following the GHG Protocol corporate standard.

by Martin Castro Alvarez (@MartinCastroAlvarez)

Supply chain optimization algorithms using Python, covering network design and logistics optimization problems.

by Kanishk Parganiha (@Kanishkparganiha)

Using OR-Gym toolkit for reinforcement learning on multi-echelon inventory management with erratic consumer demand.

by Kishor Kukreja (@kishorkukreja)

Reinforcement learning environments for supply chain optimization including multi-echelon inventory management and network management problems.

by Roy Geagea (@RoyGeagea)

AI-powered inventory management using LSTM models and transfer learning to forecast product demand, minimize stockouts, and reduce overstock.

by Mohammad Zubin Siddiqui (Rochester Institute of Technology)

Master's thesis using ML for demand forecasting and late delivery analysis, providing data-driven models to reduce risks and enhance operational efficiency.

by VinGIT654 (@VinGIT654)

Interactive zero-code Streamlit dashboard for dynamic data analysis with advanced filtering, pivot tables, and download options — ideal for supply chain workflows.

by Pooja Patel (@poojapatel26)

Supply chain analytics project using Python and Tableau, analyzing supply chain inefficiencies with informative dashboards for business stakeholders.