---
title: DataDriven Inventory Control
url: https://www.ml-quant.com/papers/repec/eee-ejores-v-322-y-2025-i-1-p-254-269/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:eee:ejores:v:322:y:2025:i:1:p:254-269
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0377221724007653%3Bh%3Drepec%3Aeee%3Aejores%3Av%3A322%3Ay%3A2025%3Ai%3A1%3Ap%3A254-269
featured: 2025-01-23
citations: unknown
topic: LLMs & Text
---


# DataDriven Inventory Control

The paper suggests a Prescriptive Analytics approach for data-driven dynamic inventory control of large product portfolios, using a 'global learning' model that outperforms 'local learning' strategies, and highlights the importance of contextual information.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0377221724007653%3Bh%3Drepec%3Aeee%3Aejores%3Av%3A322%3Ay%3A2025%3Ai%3A1%3Ap%3A254-269
- Identifier: RePEc:eee:ejores:v:322:y:2025:i:1:p:254-269
- Released: 2025-01-23
- First featured: Quant Letter No. 83 (2025-01-23): https://www.ml-quant.com/issues/2025-01-23/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: LLMs & Text

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