List: Supply Chain | Curated by Nikhil Gupta

Jan 11, 2024

29 stories

Supply Chain
In
Towards AI
by
Alexandre Warembourg
A Long-Term Demand Forecasting Model Implementation Case Study with a Major RetailerExplore how I developed a core demand forecasting algorithm for ten countries, dealing with an average product sales history of 11 months…
Jan 8, 2024
2
Jan 8, 2024
2
In
TDS Archive
by
Samir Saci
Leveraging LLMs with LangChain for Supply Chain Analytics — A Control Tower Powered by GPTBuild an automated supply chain control tower with a LangChain SQL agent connecting an LLM with a database using Python.
Nov 17, 2023
4
Nov 17, 2023
4
Nicolas Vandeput
An End-to-End Supply Chain Optimization Case Study: Part 1 Demand ForecastingThis is the first part of a supply chain optimization project focusing on demand planning. You can read the second part here.
Jan 11, 2023
2
Jan 11, 2023
2
In
TDS Archive
by
Samir Saci
What is Process Mining?Implement Process Mining with Python to use transactional data from systems to monitor supply chain processes and reduce inefficiencies.
Jan 4, 2023
4
Jan 4, 2023
4
In
Artefact Engineering and Data Science
by
Maxime Lutel
Sales forecasting in retail: what we learned from the M5 competitionOur review of recurrent issues encountered in a sales forecasting project, and how we handled them for the M5 competition.
Feb 3, 2021
5
Feb 3, 2021
5
In
TDS Archive
by
Samir Saci
4 Smart Visualizations for Supply Chain Descriptive AnalyticsDiscover how to improve your supply chain descriptive analytics with 4 smart visualizations
Nov 3, 2022
1
Nov 3, 2022
1
Nicolas Vandeput
Using Machine Learning to Forecast Sales for a Retailer with Prices & PromotionsUsing cutting-edge machine learning models, SupChains delivered a forecasting model for an international FMCG reducing its forecast error…
Oct 4, 2022
2
Oct 4, 2022
2
In
Artefact Engineering and Data Science
by
Luca Serra
Forecasting something that never happened: how we estimated past promotions profitabilityA guide on how to use counterfactual forecasting to estimate the cost-effectiveness of past in-store promotions in retail.
Sep 29, 2022
6
Sep 29, 2022
6
Nicolas Vandeput
Forecast Value AddedBetter forecasting will allow your supply chain to face fewer shortages, more sales, less useless inventory, and streamlined operations…
Dec 14, 2021
1
Dec 14, 2021
1
Nicolas Vandeput
How to Set your Inventory Service Level TargetsIn this article, I outline six drivers that influence how much service level you need to provide to your clients to maximize your profits…
Sep 22, 2022
Sep 22, 2022
In
TDS Archive
by
Samir Saci
What is a Supply Chain Control Tower?Use Python to optimize your supply chain network with an automated control tower to track your shipments and avoid late deliveries.
Sep 21, 2022
1
Sep 21, 2022
1
In
TDS Archive
by
Samir Saci
Supply Chain Sustainability Reporting with PythonBuild a sustainability report focusing on the CO2 emissions of your distribution network using Python.
Dec 3, 2021
5
Dec 3, 2021
5
Rahmat Taufiq Sigit
Step By Step Analyzing Price Elasticity With Promotion Feature Against Purchase ProbabilityINTRODUCTION
Jul 11, 2022
1
Jul 11, 2022
1
 This story is no longer available
John Kang
Capacity Modeling Using Python Step 1: Demand ForecastingThis article is inspired by a previous article I wrote about regarding the power of using Dash and Python to understand an organization’s…
Jul 9, 2022
3
Jul 9, 2022
3
In
TDS Archive
by
Burak Özen
MLOps: How to Operationalise E-Commerce Product Recommendation SystemPart I: Hands-on tutorial to build an e-commerce product recommendation system & Part II: How to operationalise this project using Layer
May 25, 2022
1
May 25, 2022
1
In
TDS Archive
by
Manu Joseph
Forecast Error Measures: Intermittent DemandIn the previous few blog posts, we’ve seen all the popular forecast measures used in practice. But all of them were really focused on…
Oct 7, 2020
1
Oct 7, 2020
1
In
TDS Archive
by
Samir Saci
Robust Supply Chain Network with Monte Carlo SimulationLearn how Monte Carlo simulation can help design a robust supply chain network considering demand fluctuations.
Feb 12, 2022
2
Feb 12, 2022
2
In
Mercado Libre Tech
by
Juan Eduardo Coba Puerto
Global Time Series Forecasting models for item-level demand and sales forecasts in our MarketplaceHow we estimate future movements of sales and demand in the Marketplace by using LSTM Neural Networks for Time Series
Dec 2, 2021
1
Dec 2, 2021
1
In
TDS Archive
by
Nicolas Vandeput
Make Your Inventory Simulation in PythonIn this article, you will create a simulation of a periodic replenishment policy in Python. In less than 30 lines.
Nov 3, 2021
4
Nov 3, 2021
4

Supply Chain

A Long-Term Demand Forecasting Model Implementation Case Study with a Major Retailer

Explore how I developed a core demand forecasting algorithm for ten countries, dealing with an average product sales history of 11 months…

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.

An End-to-End Supply Chain Optimization Case Study: Part 1 Demand Forecasting

This is the first part of a supply chain optimization project focusing on demand planning. You can read the second part here.

What is Process Mining?

Implement Process Mining with Python to use transactional data from systems to monitor supply chain processes and reduce inefficiencies.

Sales forecasting in retail: what we learned from the M5 competition

Our review of recurrent issues encountered in a sales forecasting project, and how we handled them for the M5 competition.

4 Smart Visualizations for Supply Chain Descriptive Analytics

Discover how to improve your supply chain descriptive analytics with 4 smart visualizations

Using Machine Learning to Forecast Sales for a Retailer with Prices & Promotions

Using cutting-edge machine learning models, SupChains delivered a forecasting model for an international FMCG reducing its forecast error…

Forecasting something that never happened: how we estimated past promotions profitability

A guide on how to use counterfactual forecasting to estimate the cost-effectiveness of past in-store promotions in retail.

Forecast Value Added

Better forecasting will allow your supply chain to face fewer shortages, more sales, less useless inventory, and streamlined operations…

How to Set your Inventory Service Level Targets

In this article, I outline six drivers that influence how much service level you need to provide to your clients to maximize your profits…

What is a Supply Chain Control Tower?

Use Python to optimize your supply chain network with an automated control tower to track your shipments and avoid late deliveries.

Supply Chain Sustainability Reporting with Python

Build a sustainability report focusing on the CO2 emissions of your distribution network using Python.

Step By Step Analyzing Price Elasticity With Promotion Feature Against Purchase Probability

INTRODUCTION

Capacity Modeling Using Python Step 1: Demand Forecasting

This article is inspired by a previous article I wrote about regarding the power of using Dash and Python to understand an organization’s…

MLOps: How to Operationalise E-Commerce Product Recommendation System

Part I: Hands-on tutorial to build an e-commerce product recommendation system & Part II: How to operationalise this project using Layer

Forecast Error Measures: Intermittent Demand

In the previous few blog posts, we’ve seen all the popular forecast measures used in practice. But all of them were really focused on…

Robust Supply Chain Network with Monte Carlo Simulation

Learn how Monte Carlo simulation can help design a robust supply chain network considering demand fluctuations.

Global Time Series Forecasting models for item-level demand and sales forecasts in our Marketplace

How we estimate future movements of sales and demand in the Marketplace by using LSTM Neural Networks for Time Series

Make Your Inventory Simulation in Python

In this article, you will create a simulation of a periodic replenishment policy in Python. In less than 30 lines.

Nikhil Gupta

mlops

Compensation

PyCaret