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Sustainability & Productivity

This blog contains articles and videos on data analytics for supply chain sustainability and personal productivity tools.

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 This article was originally published on Medium. The Sustainable Development Goals (SDGs) are a set of 17 objectives established by the United Nations to address global challenges. These goals were introduced in 2015 to tackle poverty, inequality,

What is ESG Reporting?

Leveraging Data Science for Comprehensive and Effective Environmental, Social and Governance reporting of a company. The article was originally published on Medium. Environmental, Social and Governance (ESG) reporting is a method used by companies to disclose their governance structures, societal impacts and their environmental footprint. As stakeholders are increasingly demanding

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. This article has been originally published on Medium. Business Intelligence is a process that leverages software and services to transform data into actionable intelligence supporting decision-making. This intelligence helps businesses gain insights into their operations, improve process efficiency, and

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. The article was originally published on Medium. Greenwashing is the practice of making misleading claims about the environmental benefits of a product or a service to communicate a false image of sustainability. This act

Leveraging Data Analytics for Sustainable Business Transformation

Learn how to use analytics to overcome the challenges faced in scaling green initiatives that prevent organizations from achieving sustainability goals. This article has been originally published on Medium. Discover how data analytics can help organizations overcome the obstacles of achieving sustainable supply chain management. We will delve into the

What is EDI? Electronic Data Interchange

Explore how Electronic Data Interchange (EDI) facilitates modern supply chain management.

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 implementing green inventory management practices. Learn how to reduce store deliveries and cut carbon emissions. Read more now.

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.

What is Supply Chain Analytics?

Use data analytics to improve operational efficiency by enabling data-driven diagnostics and decisions at strategic and operational levels

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 excel report creation with python by writing explicit excel formulas that any Excel user can read using an alternative method with the python library xlswriter.

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 Article originally published on Medium. Objective Understand the analogies between supply chain optimization problems and the framework of linear programming Introduction A supply chain is a goal-oriented network of processes and stock points

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

Do you consider the fluctuation of your demand when you design a Supply Chain Network? 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. In this article, we will design a simple architecture to deploy an interactive dashboard for Warehousing Operations using the Python Library DataPane.

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 — Features Engineering

Understand the impacts of additional features related to stock-out, store closing date or cannibalization on a Machine Learning 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 Optimization 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

Optimize Workforce Planning using Linear Programming with Python

What is the minimum number of temporary workers you need to hire to absorb your weekly workload while ensuring employees retention?

Automate Outlook Email Back-Up with VBA

Generate emails backup in HTML format that can be read without Outlook Account

Build a GPS Routing API with Python Flask

Create a free Distance Matrix API using Flask with a Selenium Bot deployed on Heroku

Build a Shipment Tracking Tool using a Telegram Bot

Design a Telegram Bot that will interact with truck drivers to track your shipments and provide real-time visibility of your transportation performance

Road Transportation Network Visualization

Build Visualizations of your FTL Network Performance: deliveries/route, cost per ton and trucks size

Machine Learning for Store Delivery Scheduling

Design Replenishment Strategies to Optimize Inventory and Reduce Number of Deliveries from your Warehouse

Machine Learning for Retail Demand Forecasting

Comparative study of Demand Forecasting Methods for a Retail Store (XGBoost Model vs. Rolling Mean)

Improve Warehouse Productivity using Pathfinding Algorithm with Python

Implement Pathfinding Algorithm based on Travelling Salesman Problem Designed with Google AI Operation Research Libraries

Improve Warehouse Productivity using Spatial Clustering with Python

Improve Warehouse Picking Productivity by Grouping Orders in Batches using Picking Location Spatial Clusters

Improve Warehouse Productivity using Order Batching with Python

Design a simulation model to estimate the impact of several Single Picker Routing Problem strategies in your Picking Productivity

SAP Automation of Product Listing for Retail

Automate Product Listing in SAP with SAP GUI Scripting Tool using Visual Basic

SAP Automation for Retail

Design RPA solutions using Visual Basic scripts built with SAP GUI Scripting Tool

SAP Automation of Orders Creation for Retail

Automate Purchase Order Creation in SAP with SAP GUI Scripting Tool using Visual Basic

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