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Oct 6, 2020

Factors of success in predictive supply chains

Wading through the miasma of supply chain technologies remains a challenge. What can help to guarantee success?

Jul 2, 2020

Ranked 6th out of 909 teams in the M5 forecasting competition

Lokad have come at the 6th position in the M5 Forecasting competition out of 909 competing teams. It’s an impressive feat.

Feb 4, 2020

Quantitative SCM vs Classic APS

Module-by-module comparison between classic APS (Advance Planning and Scheduling) systems and the quantitative supply chain as implemented by Lokad.

Jan 16, 2020

Why not Python

Envision, the domain-specific language (DSL) of Lokad, was engineered to address challenges where Python will never deliver cost-effective solutions.

Apr 3, 2019

Integers and uncertainty in differentiable programming

Technical insights on how two challenges are addressed from a differentiable programming perspective.

Mar 27, 2019

Differentiable Programming as in ‘AI’ that works

The path to unlock a series of supply chain scenarios that were before seen as largely intractable.

Feb 5, 2019

An algebra for supply chain economics

How zedfuncs algebra can be leveraged for probabilistic forecasting.

Jan 11, 2019

Columnar Random Forests

While random forests are no longer state-of-the-art machine learning they still offer advantages.

Feb 15, 2018

Beyond in-memory databases

In-memory databases used to be an IT buzzword, but it hasn't aged well

Jan 29, 2018

From Crps to Cross Entropy

Thanks to CRPS Lokad cracked its aerospace & fashion challenges, but it's not without its flaws

Oct 18, 2016

Probabilistic promotions forecasting

Forecasting promotions can be a nightmare. See how our forecasting engine deals with uncertain futures.

Jun 14, 2016

Working with uncertain futures

The future is uncertain, learn how Lokad has embraced this through an algebra of distributions.