ChatGPT and LLMs for Supply Chain Management: 7 Use Cases That Work in Production
Seven LLM use cases I have deployed in logistics operations since 2023, what each delivers, and the three places where the model is the wrong tool.
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Warehouse Operations Explained: Inbound, Storage, Picking, Packing and Shipping
The five warehouse processes from inbound dock to outbound dock, the KPI and the lever for each, with a short explainer video and the Python case study behind it.
Warehouse Layout Design: How to Size a Warehouse Before You Sign the Lease
How to design a warehouse layout and count its pallet locations before signing the lease: measure what the plan omits, cut the floor into cells, buffer in one direction.
Supply Chain Planning Explained: Demand, Supply, S&OP and Where the Plan Breaks
The four planning functions between a forecast and a factory order, the two variabilities the plan must absorb, and why plans break between the desks.
What Does a Supply Chain Analyst Do? Skills, Tools and the Portfolio That Gets You Hired
What a supply chain analyst does in a normal week, the four kinds of question the job answers, the tools that matter, and the three-project portfolio that gets you hired.
AI in Logistics: Where It Works Today, and the Three Places It Does Not
Four AI automations running in real logistics operations, what each replaced, the three reasons most logistics AI projects are cancelled, and the order to build in.
Linear Programming in Supply Chain Management: Five Problems and the Code to Solve Them
The three-part recipe every supply chain optimisation reduces to, and five problems solved with it in Python: network design, supply planning, workforce, budget and raw materials.
What is a Warehouse Management System? WMS Explained for Operations Teams
What a warehouse management system does between the docks, the five functions it owns, where it sits between ERP and TMS, and when a spreadsheet is honestly enough.
Automate Excel Reports with Python: The Four Patterns That Cover Most of the Work
Four patterns to automate the Excel reports an operations team rebuilds every week, from a double-click executable to a report that emails itself on Monday, with code for each.
Supply Chain Strategy: How to Turn One Sentence From the Owner Into a Model
A method for supply chain strategy that starts from what the owner says, finds the parameters inside it, connects them into one loop, replicates the business, then runs the scenarios.
What is Supply Chain Analytics? Definition, the Four Types, and Where to Start
Supply chain analytics defined, the four types with a real case study each, the return path most companies never complete, and the first project to run on your data.
What Is a Supply Chain Digital Twin? Definition, Building Blocks, and the One I Run 24/7
What a supply chain digital twin is, the four building blocks with Python examples, the live simulation I run 24/7, and what a twin is for and what it is not.
The Supply Science App: 950+ Questions to Take You From Beginner to Supply Scientist
Free and built with my brother: quizzes by career track, video lessons, the case studies and code behind them, and a badge ladder that ends above the CEO.
The AI Was the Easy Part: What is a Forward Deployed Engineer for Supply Chain?
In 2012, the Harvard Business Review called the data scientist "the sexiest job of the 21st century."
Every company suddenly wanted one.
More than a decade later, the title everyone is chasing now is the Forward Deployed Engineer.
This engineer is embedded inside a company's operation
I Simulated an International Supply Chain and Let OpenClaw Monitor It
Mario asked me why 18% of his shipments were late when every team hit their target. I built a live simulation, connected an AI agent, and let it investigate across 8 routes in Asia and the Middle East.
How Spreadsheets Quietly Cost Supply Chains Millions
A simulation of how a single forecast change moves through five planning teams, and why most retailers lose money in the gap between Sales and Stores.
How ElevenLabs Voice AI Is Replacing Screens in Warehouse and Manufacturing Operations
I built a voice-guided picking system to prove it: what used to require a $5,000 proprietary headset now runs on a smartphone with ElevenLabs.
The Hidden Cost of Walking: How Smart Batching Cuts Warehouse Labour Costs by 20%
When your picking operators spend more time walking than picking, you don't have a productivity problem — you have a routing problem.
AI Apps for Operations
LogiGreen AI Apps is a suite of lightweight, mobile-first tools designed to solve everyday operational problems in logistics and supply chain management.
Made by continuous improvement engineers to support operational teams.
The idea is to fill the gaps where enterprise software falls short:
* Digitalisation of manual processes: cycle count,
AI Chinese Pronunciation Coach
No one learns a language by passively turning pages in a textbook.
That is why I created Yin, the AI-powered Language coach designed to help you improve your Mandarin.
It includes three features:
* Pronunciation Exercises
* Multiple Choice Questions (MCQ)
* Flash Cards
The idea is to learn vocabulary that you
Can AI Solve Failures in your Supply Chain?
When your warehouse and transportation teams blame each other for late deliveries, who's right? We can ask an agent connected to the data settle the debate.
The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies
How to use n8n with multimodal AI and optimisation tools to help companies with low data maturity accelerate their digital transformation.
How AI Can Become Your Personal Language Tutor
How I used n8n to build AI study partners for learning Mandarin: vocabulary, listening, and pronunciation correction.
Why Supply Chain is the Best Domain for Data Scientists in 2026 (And How to Learn It)
My take after 10 years in Supply Chain on why this can be an excellent playground for data scientists who want to see their skills valued.
Build and Deploy Your First Supply Chain App in 20 Minutes
Learn how to turn your simulation models on Jupyter Notebooks into shareable Streamlit web applications with this end-to-end tutorial.
How I Use AI to Convince Companies to Adopt Sustainability
Discover how Claude can act as a Supply Chain Sustainability Analyst and guide companies toward greener, more efficient inventory management.
Build an AI Agent for Strategic Budget Planning with LangGraph and n8n
What if a simple Email was the interface for complex budget planning, with an AI agent handling the optimisation behind the scenes?
How I Deployed an AI Agent for Sustainable Supply Chain Optimisation
Use Claude with an MCP Server to help companies design cost-efficient and sustainable supply chain networks.
AI Agents for Supply Chain Optimisation with n8n
From production planning to transport management and CO₂ estimation, discover three agentic workflows to help you optimise your supply chain.
Find your Dream Job in Supply Chain Analytics - Create your Portfolio!
A practical guide for aspiring supply chain data scientists to create real-world projects using case studies shared here.
Supply Chain Automation with AI Agents Using n8n
Imagine automating your entire supply chain analytics workflows — without writing complex code.
What are the Challenges in Circular Economy for Fashion Retail?
Will your company implement a circular economy? Simulate a circular rental model to estimate store operations and logistics impacts.
Sustainable Business Strategy with Data Analytics
Use data analytics to help companies design and implement strategic sustainability roadmaps to reduce their environmental footprint.
Are you Aware of the Potential of Your Data Expertise in Driving Business Profitability?
A reflection of a supply chain data scientist who randomly discovered the power of data analytics to help small and large businesses.
Business Planning with Python — Revenue Optimization
How can you use data analytics to help small businesses maximize their revenue while maintaining or improving profitability?
Business Planning with Python — Inventory and Cash Flow Management
How can you use data analytics to help small businesses manage inventory, predict liquidity needs, and maximize profitability?
Create GPTs to Automate Supply Chain Analytics
“The Supply Chain Analyst” is a Custom ChatGPT “GPT” that performs Pareto & ABC Analysis using sales data.
Leveraging LLMs with LangChain for Supply Chain Analytics — A Control Tower Powered by GPT
Build an automated supply chain control tower with a LangChain SQL agent connecting an LLM with a database using Python.
How Will Data Science Accelerate the Circular Economy?
Actionable data science tips to overcome the operational challenges in transitioning to a circular economy.
Data Science to Support the Sustainable Development Goals (SDGs)
Linking Global Sustainability Initiatives with Companies’ Supply Chain Digital Transformations Using Data Science
What is ESG Reporting?
Leveraging Data Science for Comprehensive and Effective Environmental, Social and Governance reporting of a company.
What Is Data Quality?
Discover Methodologies to Ensure Accuracy, Consistency and Completeness of Supply Chain Data.
What is Business Intelligence?
Discover the tools for data-driven decision-making applied to supply chain optimization.
What Greenwashing Is, and How We Can Use Analytics to Detect It
Explore how data analytics can help us to detect and prevent greenwashing to promote genuine sustainability.
Leveraging Data Analytics for Sustainable Business Transformation
Use analytics to overcome the challenges faced in scaling green initiatives that prevent organisations from achieving sustainability goals.
What is EDI? Electronic Data Interchange
What is EDI? Electronic Data Interchange explained for supply chain: the documents it carries, the EDIFACT and ANSI X12 standards, and how a warehouse uses it.
What Is RPA? Robotic Process Automation
Use Python to automate business processes, process transactions, and communicate with other digital systems.
How Sustainable is Your Circular Economy?
Use Data Analytics to Simulate the Impact of a Circular Model on the CO2 Emissions and Water Usage of a Fast Fashion Retailer.
Green Inventory Management for Fashion Retail - Case Study
Discover how to reduce the CO2 footprint of fashion retail logistics by optimising store replenishment policies.
What is Sustainable Sourcing?
How can you use data analytics to select the best suppliers considering indicators for sustainability and social indicators?
What is a Circular Economy?
How can you use Data Analytics to support a Fast Fashion Retailer to implement a Circular Economy?
What is a Life Cycle Assessment? LCA
Use Data Analytics to evaluate the environmental impacts of a fast-fashion retail product over its entire life cycle from production to disposal.
What is Process Mining?
Process mining is the application of data analytics tools and concepts to understand, validate and improve workflows.
What Is a Supply Chain Digital Twin?
Use python to create a model representing your supply chain network to optimize your operations and support strategic decisions.
Automate Video Editing with Python
Automate the editing of explainer videos to create shorts with text-to-speech comments for the training of warehouse operators
Automated Supply Chain Control Tower with Python
Optimize your Supply Chain Network with an automated solution to follow your shipments and evaluate the risk of late deliveries
How to Use an API Without Coding
A No-Code method to connect to any API using Google Sheets for users without any experience in coding
Data Analytics for Supply Chain Sustainability
Use data analytics to reduce the environmental impact of your end-to-end Supply Chain Operations with diagnostics and strategic decisions
4 Smart Visualizations for Supply Chain Descriptive Analytics
Use Python to build visualizations that will provide visibility on key Supply Chain Metrics
What is Supply Chain Analytics?
Use data analytics with python to improve operational efficiency by enabling data-driven diagnostics and decisions at strategic and operational levels
Automate Graphic Design using Python
Use Python Pillow to automate the creation of hundred warehouse labels for the signage of picking locations
Automate PowerPoint Slides Creation with Python
Boost your Productivity with an Automated Tool for the Creation of Supply Chain Operational PowerPoint Reports with Python.
Automate Flash Cards Creation for Language Learning with Python
My experience using Python to automate the process of flash card creation to support my long journey of learning mandarin as a native French speaker.
Production Fixed Horizon Planning with Python
Implement the Wagner-Whitin algorithm to minimize the total costs of production given a set of constraints.
Automate Operational Reports Distribution in HTML Emails using Python
Automate the distribution of supply chain operational reports with visuals in HTML emails using python.
Animate your Python Graphs with Pillow
Animate your Python plots with the Python library Pillow to bring life to your insights.
Sustainable Logistics - Reduce Warehouse Consumables
In this article, we will explore examples following several processes of warehouse management from product receiving to order shipments.
Excel Automation Tools for User-Friendly Reports with XlsxWriter
Automate spreadsheet creation with Python by writing explicit Excel formulas that any user can read.
Lead Times Variability and Supply Chain Resilience
Understand the sources of lead times variability and its impact on the robustness of your inventory management strategies.
Supply Chain Process Optimization Using Linear Programming
Understand how linear programming can be the most powerful tool for a supply chain continuous improvement engineer.
Logistic Performance Management Using Data Analytics
Implement operational indicators to monitor and improve the performance of international distribution networks
Robust Supply Chain Networks with Monte Carlo Simulation
In this article, we will build a simple methodology to design a Robust Supply Chain Network using Monte Carlo simulation with Python.
Inventory Management for Retail — Periodic Review Policy
Implement inventory management rules based on a periodic review policy to reduce the number of stores replenishments.
Deploy Logistics Operational Dashboards using DataPane
Deploy Reporting Solutions using DataPane to Support Warehousing Logistics Operations for E-Commerce.
Transportation Network Analysis with Graph Theory
Use graph theory to optimize the road transportation network of a retail company
Automate Budget Planning Using Linear Programming
Select the projects that maximize the return on investment, follow the management guidelines while respecting budget constraints
Supply Chain Sustainability Reporting with Python
4 steps to build an ESG reporting focusing on CO2 emissions of your Distribution Network
Lean Six Sigma with Python — Chi-Squared Test
Perform a Chi-Squared Test to explain a shortage of drivers impacting your transportation network
Machine Learning for Retail Sales Forecasting — Feature Engineering
Understand the impacts of additional features (stock-out, store closing date or cannibalisation) on an ML model for sales forecasting.
Inventory Management for Retail — Stochastic Demand
Simulate the impact of safety stock level on inventory management performance metrics assuming a normal distribution of your demand
Inventory Management for Retail — Deterministic Demand
Build a simple model to simulate the impact of several replenishment rules (Basic, EOQ) on the inventory costs and ordering costs
Statistical Sampling for Process Improvement using Python
Use sample data to estimate the average lead time to process customer orders in the customer service of an elevator parts supplier.
Supply Chain Process Design using the Queueing Theory
Apply several principles of the Queueing Theory with Python to design a parcel packing process for an e-commerce fulfilment centre
Product Segmentation for Retail with Python
A statistical methodology to segment your products based on turnover and demand variability
Procurement Process Optimization with Python
Use non-linear programming to find the optimal ordering policy that minimizes capital, transportation and storage costs
Lean Six Sigma with Python — Logistic Regression
Replace Minitab with Python to perform a Logistic Regression to estimate the minimum bonus needed to reach 75% of a productivity target
Central Limit Theorem for Process Improvement with Python
Estimate the workload for returns management assuming a normal distribution of the number of items per carton received from your stores.
Supply Planning using Linear Programming with Python
Where do you need to allocate your stock to meet customers demand and reduce your transportation costs?
Lean Six Sigma with Python — Kruskal Wallis Test
How to replace Minitab with Python to perform Kruskal Wallis Test evaluating the impact of training on warehouse operators’ productivity.
Deep Reinforcement Learning for AGV Routing
Increase Warehouse Productivity by using Reinforcement Learning for Automated Guided Vehicles Routing
Raw Materials Optimization for Food Manufacturing with Python
Use linear programming to create an optimal recipe for a cheap meal bar that meets specific nutritional requirements
Supply Chain Optimisation with Python
Find the optimal locations of your manufacturing facilities to meet your customers’ demand and reduce production costs
Optimize E-Commerce Last-Mile Delivery with Python
Organize your routes to deliver parcels with a minimum number of drivers using optimization models with python
Build Interactive Charts using Flask and D3.js
Design interactive D3.js visualizations for E-Commerce Sales Analytics and Support Business Decisions
Maximize your Business Profitability with Python
Use linear programming to help your local bakery to improve its business profitability by selecting the right items to sell.
Automate Accounting Tasks using Python
Build Solutions to Automate Repetitive Tasks for Financial Audits and Share them with Your Finance Colleagues to Improve their Productivity
Reduce Warehouse Space with the Pareto Principle using Python
How the 80/20 rule implemented using python can optimize your layout, reduce space utilization and improve the picking productivity
Containers Loading Optimization with Python
How can we use heuristic algorithms to find the right strategy to load a maximum number of pallets in a sea container?
Build Excel Automation Tools with Python
Design of Excel Automation Tools for Sales Analytics ready to be used by your colleagues without any prior knowledge of Python
Optimize Warehouse Value Added Services with Python
Use Linear Programming to Increase your Production Capacity for the Final Assembly of Luxury Products