{"ID":2840873,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.12397","arxiv_id":"2511.12397","title":"Stochastic Predictive Analytics for Stocks in the Newsvendor Problem","abstract":"This work addresses a key challenge in inventory management by developing a stochastic model that describes the dynamic distribution of inventory stock over time without assuming a specific demand distribution. Our model provides a flexible and applicable solution for situations with limited historical data and short-term predictions, making it well-suited for the Newsvendor problem. We evaluate our model's performance using real-world data from a large electronic marketplace, demonstrating its effectiveness in a practical forecasting scenario.","short_abstract":"This work addresses a key challenge in inventory management by developing a stochastic model that describes the dynamic distribution of inventory stock over time without assuming a specific demand distribution. Our model provides a flexible and applicable solution for situations with limited historical data and short-t...","url_abs":"https://arxiv.org/abs/2511.12397","url_pdf":"https://arxiv.org/pdf/2511.12397v1","authors":"[\"Pedro A. Pury\"]","published":"2025-11-16T00:19:49Z","proceeding":"stat.AP","tasks":"[\"stat.AP\",\"cs.LG\"]","methods":"[]","has_code":false}