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Prediction of customer demand for perishable products in retail inventory management, using the hybrid prophet-XGBoost model during the post-COVID-19 period.

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Title: Prediction of customer demand for perishable products in retail inventory management, using the hybrid prophet-XGBoost model during the post-COVID-19 period.
Authors: Elorza, Maider1 (AUTHOR) melorzai@mondragon.edu, Castellano, Eduardo2 (AUTHOR), Segura, Sara2 (AUTHOR)
Source: Applied Economics Letters. Oct2025, Vol. 32 Issue 17, p2453-2459. 7p.
Database: Business Source Ultimate
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An: 188444445
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PubType: Academic Journal
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  Data: Prediction of customer demand for perishable products in retail inventory management, using the hybrid prophet-XGBoost model during the post-COVID-19 period.
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  Data: <searchLink fieldCode="AR" term="%22Elorza%2C+Maider%22">Elorza, Maider</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> melorzai@mondragon.edu</i><br /><searchLink fieldCode="AR" term="%22Castellano%2C+Eduardo%22">Castellano, Eduardo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Segura%2C+Sara%22">Segura, Sara</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Applied+Economics+Letters%22">Applied Economics Letters</searchLink>. Oct2025, Vol. 32 Issue 17, p2453-2459. 7p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=188444445
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/13504851.2024.2333995
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 2453
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      – TitleFull: Prediction of customer demand for perishable products in retail inventory management, using the hybrid prophet-XGBoost model during the post-COVID-19 period.
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            NameFull: Castellano, Eduardo
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              Text: Oct2025
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              Y: 2025
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              Value: 32
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