Interactive Trial Room –A Solution to Reduce the Problem of Rampant Return of Sold Merchandise in Fashion E-Commerce Business

Misra, Sudha; Arivazhagan, D.

doi:10.17485/ijst/2017/v10i16/106990

Cited by 2 publications

(6 citation statements)

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“…The contribution is based on an analysis of the return process and the costs of an internet retailer. Our results support previous findings (Hong and Pavlou, 2014; Misra and Arivazhagan, 2017) that product fit uncertainty is a major cause of product returns. We contribute with a method to identify fit uncertainty-related costs in retail supply chain operations.…”

Section: Discussionsupporting

confidence: 92%

“…Experience products are products whose attributes are difficult to transfer from one party to another without the customer physically examining the product (Nelson, 1970); as such, fit verification tools are needed for these products. Fit IJPDLM uncertainty is a major cause of product return costs (Hong and Pavlou, 2014;Misra and Arivazhagan, 2017). The customer's pre-sales activity to mitigate fit uncertainty are reflected in the customer's shopping behavior.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Advanced technologies provide authentic fit information, and research has pointed to the use of digital product fitting using 3D scanning to create a digital model of the customer and product for recommending fitting products (Gustafsson et al , 2019; Miell et al , 2018), potentially enabling virtual fit verification. Previous research has proposed virtual try-ons and interactive trial rooms for customers to assess the fit of a product (Liu et al , 2017; Misra and Arivazhagan, 2017); however, such applications rely on standard customer models (avatars), which only provides the customer with fit information, since without actual body scanning data, the visualization may not realistically represent the fit. Advanced digital product fitting applications provide virtual fit verification, as opposed to fit information and visualization practices (Gustafsson et al , 2019); what these have in common is that they rely on scans of customers to verify the fit.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…However, while size charts are easy to implement, their accuracy is questionable. Research has proposed virtual try-ons and interactive trial rooms for customers to visualize fit (Liu et al , 2017; Misra and Arivazhagan, 2017), but these technologies may not represent fit realistically, as they often lack customer scanning data (Miell et al , 2018). More advanced technologies are implementation-heavier but are also more accurate and can provide fit verification (Gustafsson et al , 2019).…”

Section: Introductionmentioning

confidence: 99%

“…More advanced technologies are implementation-heavier but are also more accurate and can provide fit verification (Gustafsson et al , 2019). Academically, previous research has investigated the influence of online customer reviews on product returns (Minnema et al , 2016), the effect of digital fitting tools on mitigating product returns (Gustafsson et al , 2019; Misra and Arivazhagan, 2017), the effect of return policy leniency on product returns (Janakiraman et al , 2016) and company practices for managing product returns (Hjort et al , 2019).…”

Section: Introductionmentioning

confidence: 99%

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Reducing retail supply chain costs of product returns using digital product fitting

Gustafsson

Jönsson

Holmström

2021

IJPDLM

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PurposeThis paper investigate how fit uncertainty impacts product return costs in online retailing and how digital product fitting, a pre-sales fitting practice, can reduce fit uncertainty.Design/methodology/approachThe paper analyzes the current performance of a retailer's e-commerce and return operations by estimating costs generated by product returns, including product handling costs, tied-up capital, inventory holding costs, transportation costs, and order-picking costs. The estimated costs were built on 2,229 return transactions from a Scandinavian fashion footwear retailer. A digital product fitting technology was tested with the retailer’s products and resulted in estimations on how such technology could affect product returns.FindingsThe cost of a return is approximately 17% of the prime cost. The major cost elements are product handling costs and transportation costs, which together amount to 72% of the total costs. If well calibrated, the fitting technology can cut fit-related return costs by up to 80%. The findings show how customers reacted to the fitting technology: it was unable to verify fit every time, but it serves as a useful and effective support tool for customers when placing orders.Research limitations/implicationsVirtual fit verification using digital product fitting is key to retailers to reduce fit-related returns. Digital product fitting using three-dimensional scanning is more appropriate for some products, but it is unsuitable for products that are difficult to measure and scan.Originality/valueThe paper contributes an empirical estimate of retail supply chain costs associated with fit uncertainty, as well as theoretical understanding of the role of pre-sales fit verification in avoiding product returns.

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Section: Discussionsupporting

confidence: 92%

Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Reducing retail supply chain costs of product returns using digital product fitting

Gustafsson

Jönsson

Holmström

2021

IJPDLM

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A fuzzy logic apparel size decision methodology for online marketing

Nasıbov

Demir

Vahaplar

2019

IJCST

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Purpose Beside the development of technology and accessibility, ease of use, ability to reach various products and compare many products at the same time make online shopping even more popular. Despite the great advantages provided by online shopping for either consumers or retailers, there are certain issues that must be solved to improve online shopping advantages. Finding right size is one of the biggest barriers against apparel online retailing. Since the use of apparels is directly related with fitting, choosing right size is becoming more critical for retailers and consumers. The purpose of this paper is to contribute to the solution of the problem. Design/methodology/approach For the study, the specific size measurements of male shirts (collar, shoulder, chest, waist, arm length in cm) from four different sizes (small, medium, large, x-large) and from eight different brands were collected and stored in a database. Totally, weight, height and body measurements (collar, shoulder, chest, waist and arm length in cm) of 80 male candidates, between the ages of 18 and 35, were measured individually. These data were then used for experiments. Findings Any product with known measurements can be compared with users’ body measurement based on fuzzy logic rule and the best-fitted size can be selected for users. Similarly, using the proposed web design, users are able to see desired products on users with similar body type. Originality/value In this study, a new mathematical method based on fuzzy relations for apparel size finder is proposed. Beside, this method can group users based on body measurements in order to find people with similar size.

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Interactive Trial Room –A Solution to Reduce the Problem of Rampant Return of Sold Merchandise in Fashion E-Commerce Business

Cited by 2 publications

References 0 publications

Reducing retail supply chain costs of product returns using digital product fitting

Reducing retail supply chain costs of product returns using digital product fitting

A fuzzy logic apparel size decision methodology for online marketing

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