The Quantitative Supply Chain Blog

where supply chain and rocket science meet

rocket_article Sep 3, 2017

An aviation case study: Spairliners

Probabilistic forecasts applied to aviation discover Spairliners video case study.

rocket_article Aug 10, 2017

Periodic demand forecast

A useful feature where demand is very steady and non-sparse.

rocket_article Jun 15, 2017

Text mining for better demand forecasts

When data is lacking in depth, correlations can be leveraged to improve accuracy through text mining.

rocket_article Jun 7, 2017

Entropy analysis for supply chain IT system discovery

The problem is not data-processing capabilities. The real challenge is to make sense of all your fields.

rocket_article May 8, 2017

Probabilistic demand forecasting for Fashion

A retranscription of Lokad's talk at Vizions 2017. A new paradigm for the Fashion industry's supply chain.

rocket_article Apr 29, 2017

The illustrated stock reward function

An infographic to better understand the stock reward function for computing the ROI for your stock.

rocket_article Mar 28, 2017

The Supply Chain Scientist

Discover the role of the Supply Chain Scientist, the keystone of a Quantitative Supply Chain initiative.

rocket_article Feb 8, 2017

Fashion demand forecasting

Forget the Open-To-Buy-method and manual pairing between collections. Think probabilistic forecasting.

rocket_article Jan 24, 2017

Machine learning jobs at Lokad

Discover what working in our ML department entails and the complex challenges that need to be tackled.

rocket_article Jan 16, 2017

The test of supply chain performance

Test your supply chain performance through 12 questions. Where do you stand?

rocket_article Jan 3, 2017

2017, year of quantitative supply chain

Read our new supply chain manifesto and learn how this approach can transform your supply chain.

rocket_article Dec 6, 2016

Markdown tile and Summary tile

Find new ways for displaying KPIs and detailed legends with our latest tiles.

rocket_article Nov 21, 2016

Preparing enterprise data takes 6 months

Learn the importance of data preparation and the typical length of a proper set-up phase.