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2 results for “demand forecasting”
SPIN Processed News Frame: The Hype
Accuracy-Preserving Stability Regularization for Large-Scale Retail Demand Forecasting
A new stability regularization technique for retail demand forecasting models improves forecast path stability without materially degrading point accuracy, as demonstrated on M5 benchmark data.
Spin 40% Claim Present in Source AI Risk Moderate
arXiv Machine Learning
Jul 16, 2026
SPIN Processed News Frame: The Hype
STAGformer: A Spatio-temporal Agent Graph Transformer for Micro Mobility Demand Forecasting
STAGformer is a new graph transformer architecture designed for station-level bike-sharing demand forecasting, claiming linear computational complexity and superior accuracy over existing models on NYC and Chicago datasets.
Spin 45% Claim Present in Source AI Risk Moderate
arXiv Machine Learning
Jul 10, 2026