Adoption of AI-based order picking in warehouse: benefits, challenges, and critical success factors

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dc.contributor.authorRad, Fakhreddin Fakhrai
dc.contributor.authorOghazi, Pejvak
dc.contributor.authorOnur, Izmir
dc.contributor.authorKordestani, Arash
dc.date.accessioned2026-02-03T13:34:00Z
dc.date.issued2025
dc.description.abstractThis research assesses the adoption of artificial intelligence (AI)-based batch order picking in a warehouse, focusing on benefits, challenges, and critical success factors. Using customer order data and simulation, the study employs a quantitative approach, combining mathematical and statistical estimations with qualitative examinations centered on interviews with the warehouse staff, its Enterprise Resource Planning (ERP) developer, and the AI developer. The findings of this mixed-method study reveal that the AI-based order-picking system (AI-based system) has improved order-picking efficiency by reducing travel distance and time. Nevertheless, challenges hinder maximum utilization of the system. In addition, the research highlights critical success factors and other benefits of adopting the system tailored to warehouse management. Understanding the lessons learned in this research is essential for businesses seeking to adopt AI to enhance their efficiency.en
dc.description.notification© The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
dc.description.reviewstatusfi=vertaisarvioitu|en=peerReviewed|
dc.format.pagerange3495-3540
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/19741
dc.identifier.urnURN:NBN:fi-fe2026020311003
dc.language.isoen
dc.publisherSpringer
dc.relation.doihttps://doi.org/10.1007/s11846-025-00858-1
dc.relation.ispartofjournalReview of managerial science
dc.relation.issn1863-6691
dc.relation.issn1863-6683
dc.relation.issue11
dc.relation.urlhttps://doi.org/10.1007/s11846-025-00858-1
dc.relation.urlhttps://urn.fi/URN:NBN:fi-fe2026020311003
dc.relation.volume19
dc.rightshttps://creativecommons.org/licenses/by/4.0/
dc.source.identifierWOS:001427340800001
dc.source.identifier2-s2.0-85218694648
dc.source.identifier282f400b-2880-4992-a04a-91eaf43b78eb
dc.source.metadataSoleCRIS
dc.subjectArtificial intelligence
dc.subjectOrder picking
dc.subjectOptimization
dc.subjectWarehouse
dc.subjectCritical success factors
dc.subjectChallenges
dc.subjectBenefits
dc.subjectM11
dc.subjectM15
dc.subjectO33
dc.subject.disciplinefi=Strateginen johtaminen|en=Strategic Management|
dc.titleAdoption of AI-based order picking in warehouse: benefits, challenges, and critical success factors
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä (vertaisarvioitu)|en=A1 Journal article (peer-reviewed)|
dc.type.publicationarticle
dc.type.versionpublishedVersion

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