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Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering
Research article (Journal of Forecasting, 2024) · cited 14× · AI/ML
Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering
Summary
Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering is a scholarly article[1].
Key Facts
Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-demand-forecasting-for-customers-with-missing-downstream-data-in-intermittent-demand-supply-chains-with-superv
MLA“Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-demand-forecasting-for-customers-with-missing-downstream-data-in-intermittent-demand-supply-chains-with-superv.
BibTeX@misc{4ortxyz_improving-demand-forecasting-for-customers-with-missing-downstream-data-in-intermittent-demand-supply-chains-with-superv_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering}}, year = {2026}, url = {https://4ort.xyz/entity/improving-demand-forecasting-for-customers-with-missing-downstream-data-in-intermittent-demand-supply-chains-with-superv}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering — https://4ort.xyz/entity/improving-demand-forecasting-for-customers-with-missing-downstream-data-in-intermittent-demand-supply-chains-with-superv (retrieved 2026-05-24)
