Elegance, an Upscale Specialty Retailer, uses Data Mining to Solve Vendor Fit Problems

dc.contributor.author McKinney, Ellen
dc.contributor.author McKinney, Ellen
dc.contributor.author McKinney, Steven
dc.contributor.department Apparel, Events and Hospitality Management
dc.date 2018-02-17T22:22:11.000
dc.date.accessioned 2020-06-29T22:47:58Z
dc.date.available 2020-06-29T22:47:58Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2008
dc.date.issued 2008-01-01
dc.description.abstract <p>Elegance, an upscale specialty retailer with sales over $4 billion, has 30-plus stores nationwide. Store values include providing distinctive merchandise and superior service to customers. The company focuses on the luxury retail market, selling brands including Armani, St. John, Zegna, Ellen Tracy, and Kate Spade. Women's apparel accounts for 35 percent of sales. Elegance is also known for strong vendor relationships, often working closely with vendors to develop products that will be desirable to its client.</p>
dc.description.comments <p>This is a chapter from <em>Concepts and Cases in Retail Merchandise Management 2nd ed.</em>, N.J. Rabolt and J.K. Miler (eds), New York: Fairchild. 2008; 213-215.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/aeshm_pubs/79/
dc.identifier.articleid 1078
dc.identifier.contextkey 9198856
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath aeshm_pubs/79
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/2320
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/aeshm_pubs/79/0-Concepts__Cases_in_Retail__Merchandise_Management_3.pdf|||Sat Jan 15 01:55:44 UTC 2022
dc.source.bitstream archive/lib.dr.iastate.edu/aeshm_pubs/79/2008_McKinneyE_EleganceUpscaleSpecialty.pdf|||Sat Jan 15 01:55:46 UTC 2022
dc.subject.disciplines Fashion Design
dc.subject.disciplines Fiber, Textile, and Weaving Arts
dc.subject.disciplines Industrial and Product Design
dc.subject.disciplines Other Arts and Humanities
dc.title Elegance, an Upscale Specialty Retailer, uses Data Mining to Solve Vendor Fit Problems
dc.type article
dc.type.genre book_chapter
dspace.entity.type Publication
relation.isAuthorOfPublication ba90f383-d045-4044-baca-ed51cf7f3956
relation.isOrgUnitOfPublication 5960a20b-38e3-465c-a204-b47fdce6f6f2
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