Wading through the miasma of supply chain technologies remains a challenge. What can help to guarantee success?
Lokad have come at the 6th position in the M5 Forecasting competition out of 909 competing teams. It’s an impressive feat.
Module-by-module comparison between classic APS (Advance Planning and Scheduling) systems and the quantitative supply chain as implemented by Lokad.
Envision, the domain-specific language (DSL) of Lokad, was engineered to address challenges where Python will never deliver cost-effective solutions.
Technical insights on how two challenges are addressed from a differentiable programming perspective.
The path to unlock a series of supply chain scenarios that were before seen as largely intractable.
How zedfuncs algebra can be leveraged for probabilistic forecasting.
While random forests are no longer state-of-the-art machine learning they still offer advantages.
In-memory databases used to be an IT buzzword, but it hasn't aged well
Thanks to CRPS Lokad cracked its aerospace & fashion challenges, but it's not without its flaws
Forecasting promotions can be a nightmare. See how our forecasting engine deals with uncertain futures.
The future is uncertain, learn how Lokad has embraced this through an algebra of distributions.