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Integers and uncertainty in differentiable programming
Technical insights on how two challenges are addressed from a differentiable programming perspective.
Differentiable Programming as in ‘AI’ that works
The path to unlock a series of supply chain scenarios that were before seen as largely intractable.
An algebra for supply chain economics
How zedfuncs algebra can be leveraged for probabilistic forecasting.
Columnar Random Forests
While random forests are no longer state-of-the-art machine learning they still offer advantages.
Beyond in-memory databases
In-memory databases used to be an IT buzzword, but it hasn't aged well
From Crps to Cross Entropy
Thanks to CRPS Lokad cracked its aerospace & fashion challenges, but it's not without its flaws
Probabilistic promotions forecasting
Forecasting promotions can be a nightmare. See how our forecasting engine deals with uncertain futures.
Working with uncertain futures
The future is uncertain, learn how Lokad has embraced this through an algebra of distributions.
Forecasting 4.0 with Probabilistic Forecasts
Discover what Machine Learning and high dimensional statistics can bring to your supply chain.
Insights on the Lokad tech evolution
Lokad has transformed so much, from data and business drivers integration to probabilistic forecasts.
The Stock Reward Function
Aligning the scoring function with the business drivers and the iterative aspect of replenishment.
Forecasting 3.0 with Quantile Grids
Accurate forecasts are a fairytale, see how Lokad counteracts this.