Customer models for artificial intelligence-based decision support in fashion online retail supply chains
Customer models for artificial intelligence-based decision support in fashion online retail supply chains
Fashion is a global, multi-trillion dollar industry devoted to producing and selling clothing, footwear, and accessories to individuals or groups of people. Its sheer numbers, together with social and environmental sustainability concerns, and the move towards digitalization of customer-centric operations, make the fashion business a prime target for Decision Support Systems (DSSs). On the other hand, decision support in fashion retail is particularly problematic and embraces all major supply chain domains. Decisions in an online fashion retail supply chain (FRSC) are highly dependent on time-varying customers' preferences and product availability, often leading to a combinatorial explosion. To address such a problem, DSSs could greatly benefit from high-quality information stored in customer models (CMs), constructed by using Artificial Intelligence techniques, allowing informed decisions on how to personalize (adapt) to match the customer's needs and preferences. Combinations of CMs with recommender systems (RSs) have been increasingly utilized in fashion e-commerce to provide personalized product recommendations. Nevertheless, works on enhancing CMs for e-commerce or other decision-making chain domains are scanty. This paper offers a systematic review of the literature on fashion CMs with applications to decision-making in FRSCs, mining topics for a research agenda. Research on the theme is relevant and urgent for the fashion business, which is still in its infancy. Work on the agenda topics could benefit distinct fashion stakeholders, not just customers, and produce well-grounded decision-making in varied FRSC contexts and dynamics.
Artificial intelligence, Customer model, Decision support systems, Fashion, Retail supply chain, User model
Pereira, Artur M.
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Moura, J. Antão B.
5426b1b3-75fd-42ea-8278-5d7eb4f74aa9
Costa, Evandro De B.
89a2c63a-cc47-403d-aa41-867f3b88d5a3
Vieira, Thales
fea84b1f-03d0-41b6-9f3a-99b10c1b3917
Landim, André R.D.B.
b5b4b242-6ac3-49c8-8a30-bc0fc76127b2
Bazaki, Eirini
df6ddfcb-9794-48d9-95fc-f341f1d3c695
Wanick, Vanissa
d2941cae-269e-4672-b448-8cb93e22e89e
1 July 2022
Pereira, Artur M.
2907d7f6-c956-4d63-a051-ba0f1c94bb3e
Moura, J. Antão B.
5426b1b3-75fd-42ea-8278-5d7eb4f74aa9
Costa, Evandro De B.
89a2c63a-cc47-403d-aa41-867f3b88d5a3
Vieira, Thales
fea84b1f-03d0-41b6-9f3a-99b10c1b3917
Landim, André R.D.B.
b5b4b242-6ac3-49c8-8a30-bc0fc76127b2
Bazaki, Eirini
df6ddfcb-9794-48d9-95fc-f341f1d3c695
Wanick, Vanissa
d2941cae-269e-4672-b448-8cb93e22e89e
Pereira, Artur M., Moura, J. Antão B., Costa, Evandro De B., Vieira, Thales, Landim, André R.D.B., Bazaki, Eirini and Wanick, Vanissa
(2022)
Customer models for artificial intelligence-based decision support in fashion online retail supply chains.
Decision Support Systems, 158, [113795].
(doi:10.1016/j.dss.2022.113795).
Abstract
Fashion is a global, multi-trillion dollar industry devoted to producing and selling clothing, footwear, and accessories to individuals or groups of people. Its sheer numbers, together with social and environmental sustainability concerns, and the move towards digitalization of customer-centric operations, make the fashion business a prime target for Decision Support Systems (DSSs). On the other hand, decision support in fashion retail is particularly problematic and embraces all major supply chain domains. Decisions in an online fashion retail supply chain (FRSC) are highly dependent on time-varying customers' preferences and product availability, often leading to a combinatorial explosion. To address such a problem, DSSs could greatly benefit from high-quality information stored in customer models (CMs), constructed by using Artificial Intelligence techniques, allowing informed decisions on how to personalize (adapt) to match the customer's needs and preferences. Combinations of CMs with recommender systems (RSs) have been increasingly utilized in fashion e-commerce to provide personalized product recommendations. Nevertheless, works on enhancing CMs for e-commerce or other decision-making chain domains are scanty. This paper offers a systematic review of the literature on fashion CMs with applications to decision-making in FRSCs, mining topics for a research agenda. Research on the theme is relevant and urgent for the fashion business, which is still in its infancy. Work on the agenda topics could benefit distinct fashion stakeholders, not just customers, and produce well-grounded decision-making in varied FRSC contexts and dynamics.
Text
DSS_Elsevier
- Accepted Manuscript
More information
Accepted/In Press date: 10 April 2022
e-pub ahead of print date: 18 April 2022
Published date: 1 July 2022
Keywords:
Artificial intelligence, Customer model, Decision support systems, Fashion, Retail supply chain, User model
Identifiers
Local EPrints ID: 468417
URI: http://eprints.soton.ac.uk/id/eprint/468417
ISSN: 0167-9236
PURE UUID: 20687e66-72aa-4266-a1c1-36e428befdea
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Date deposited: 15 Aug 2022 16:34
Last modified: 14 Dec 2024 05:03
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Contributors
Author:
Artur M. Pereira
Author:
J. Antão B. Moura
Author:
Evandro De B. Costa
Author:
Thales Vieira
Author:
André R.D.B. Landim
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