The MetaLearner Blog

Insights on AI for operations planning and supply chain intelligence

Discover how to apply AI in real-world operations. From forecasting and planning to data-driven decision-making. Explore practical use cases, expert insights, and the future of intelligent systems.
Rafael Nicolas Fermin Cota
Streamlining Robustness for Sequential Decision Making: Updated Paper Now Available
The updated Streamlining Robustness paper is now on SSRN and submitted to Management Science. It now documents the first industry implementation of the framework, developed with MetaLearner.
Technology
Rafael Nicolas Fermin Cota
Why I Prefer Robust Optimization for Decisions Under Uncertainty
Forecasts are evidence. Decisions must survive being wrong.
Technology
Andy Andikko
Turning Forecast Uncertainty into Inventory Decisions with NVIDIA cuOpt
How robust optimization helps enterprises make disciplined procurement and fulfillment decisions despite imperfect forecasts.
Technology
Rafael Nicolas Fermin Cota
Stop Buying Service With Inventory
Higher service does not always require more stock. It requires inventory to be positioned against the risks that actually threaten service.
Technology
Rafael Nicolas Fermin Cota
Extracting More Signal From Every Unit of Compute
MetaLearner’s new feature-selection methodology identifies the few features that matter most across thousands of time series, reducing model fitting time by 64% while preserving or improving out-of-sample forecasting performance.
Technology
Rafael Nicolas Fermin Cota
The Most Valuable Data in Your Business Is Being Ignored
Modern planning systems fail to improve outcomes because they capture data but not human decision-making, and the next generation must learn from experience while optimizing decisions under uncertainty.
Technology
Rafael Nicolas Fermin Cota
We Set Out to Improve Forecasts. We Found a Decision Problem.
Why robust optimization and decision systems matter more than ever in modern supply chains.
Technology

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