Nov 5, 2020
Refresh everything every day
Lokad’s supply chain practice is to refresh all the data pipelines - forecasts included - at least once a day. Why is that?
Lokad’s supply chain practice is to refresh all the data pipelines - forecasts included - at least once a day. Why is that?
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.
When we started our Youtube channel just over a year and a half ago, we never imagined we'd reach this milestone.
What are the importance of feedback loops and how do we use them in our forecasts
What solutions can Quantitative Supply Chain provide for large manufacturing companies?
The most common strategy (tragedy) for software solutions remains replicating behavior that's essentially "human".
"Machine should work; People should think." vs "Built for people not perfection". Two different visions.
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.