Supply Chain Science
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Lean scalable processing for supply chains
Are large scale calculations through cloud computing worth the cost?
The limited applicability of backtesting
Backtesting is simple and elegant, but is it really a silver bullet?
Improving a forecasting technology
Learn more about how Lokad continues to deliver superior forms of supply chain optimization
Book: The Quantitative Supply Chain
Discover why your supply chain deserves what machine learning and big data have to offer
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.
The Supply Chain Scientist
Discover the role of the Supply Chain Scientist, the keystone of a Quantitative Supply Chain initiative.
The test of supply chain performance
Test your supply chain performance through 12 questions. Where do you stand?
2017, year of quantitative supply chain
Read our new supply chain manifesto and learn how this approach can transform your supply chain.
Preparing enterprise data takes 6 months
Learn the importance of data preparation and the typical length of a proper set-up phase.
Will compilation save supply chains?
For supply chains conventional IT wisdom often doesn't work, but compilation might just save the day.
POCs don’t work in quantitative supply chain optimization
Despite vendors' claims, optimizing supply chains is hard. Learn why most POCs fail at the initial stage.
Q&A about inventory optimization software
Lokad's answers on a comparative study on inventory optimization softwares.