Assortment Planning in Omnichannel Retailing Under Product Returns and Showcase Capacity

ABSTRACT We investigate the assortment planning decisions of a retailer that operates an online sales channel and a brick‐and‐mortar store. We explicitly investigate the impact of product returns, which is a norm in modern retailing and a factor for lost profit. Assortment decisions affect product returns as showcased products reveal information to online shoppers who visit the physical store before making their purchase. We model customers' purchase and keep‐or‐return decisions through a multinomial logit choice model and derive the retailer's expected profit function. Using analytical and numerical results, we show that (i) if the cost of handling returns is not too high, allowing returns can lead to substantial increase in profit, (ii) an increase in returns does not necessarily mean a decrease in profit, (iii) retailers are generally better off if the hidden attribute levels are slightly undervalued rather than correctly or overvalued, (iv) even if there is shelf‐space capacity available for free, it may be optimal not to utilize it fully, and (v) under a generous refund policy, retailers should reveal a limited number of undervalued levels; whereas, for the overvalued levels, their action depends on relative sizes of the online and offline market segments.

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Publication Details

Journal
Naval Research Logistics (NRL)
Published
2025-08-09
DOI
https://doi.org/10.1002/nav.70011
Citations
1
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
2.07
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article

Assortment Planning in Omnichannel Retailing Under Product Returns and Showcase Capacity

Osman Alp, Amin Aslani
1 citations
Naval Research Logistics (NRL)
Consumer Retail Behavior Studies
2.07
article

Assortment Planning in Omnichannel Retailing Under Product Returns and Showcase Capacity

Osman Alp, Amin Aslani
article en
1 citations

Abstract

ABSTRACT We investigate the assortment planning decisions of a retailer that operates an online sales channel and a brick‐and‐mortar store. We explicitly investigate the impact of product returns, which is a norm in modern retailing and a factor for lost profit. Assortment decisions affect product returns as showcased products reveal information to online shoppers who visit the physical store before making their purchase. We model customers' purchase and keep‐or‐return decisions through a multinomial logit choice model and derive the retailer's expected profit function. Using analytical and numerical results, we show that (i) if the cost of handling returns is not too high, allowing returns can lead to substantial increase in profit, (ii) an increase in returns does not necessarily mean a decrease in profit, (iii) retailers are generally better off if the hidden attribute levels are slightly undervalued rather than correctly or overvalued, (iv) even if there is shelf‐space capacity available for free, it may be optimal not to utilize it fully, and (v) under a generous refund policy, retailers should reveal a limited number of undervalued levels; whereas, for the overvalued levels, their action depends on relative sizes of the online and offline market segments.

Naval Research Logistics (NRL)Vol. 73(2)
University of Calgary (CA), University of Wisconsin–Whitewater (US)
Openalex Percentile: Top 11%
Consumer Retail Behavior Studies
2.07
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Assortment Planning in Omnichannel Retailing Under Product Returns and Showcase Capacity — Osman Alp, Amin Aslani · Naval Research Logistics (NRL) (2025) | TGRS Research Map | TGRS