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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.

May 24, 2016

Forecasting 4.0 with Probabilistic Forecasts

Discover what Machine Learning and high dimensional statistics can bring to your supply chain.

Feb 10, 2016

Insights on the Lokad tech evolution

Lokad has transformed so much, from data and business drivers integration to probabilistic forecasts.

Dec 15, 2015

The Stock Reward Function

Aligning the scoring function with the business drivers and the iterative aspect of replenishment.

Feb 27, 2015

Forecasting 3.0 with Quantile Grids

Accurate forecasts are a fairytale, see how Lokad counteracts this.