<?xml version="1.0" encoding="UTF-8"?>
<article_metadata generated_at="2026-06-11T14:50:09+00:00">
  <journal>
    <title>Journal of Business and Retail Management Research</title>
    <acronym>JBRMR</acronym>
    <issn_print></issn_print>
    <issn_online>2056-6271</issn_online>
    <doi_prefix>https://doi.org/10.24052/JBRMR/</doi_prefix>
  </journal>
  <article>
    <id>7</id>
    <title>Retail revenue management: applying data-driven analytics to the merchandise line of business</title>
    <abstract>Recent advances in data collection technology and computing power yield opportunities to apply robust analytical methods to retail. Additional profitability can be obtained by leveraging data-mining techniques and optimization models to decisions that have heretofore been based heavily on experiential understanding. Scientific methods can be applied to the revenue-driving areas of merchandise such as assortment, pricing, placement, and promotion to obtain further insight and make more precise decisions.</abstract>
    <doi></doi>
    <url>https://mail.ijbed.org/details&amp;cid=7</url>
    <pdf_url>https://mail.ijbed.org/cdn/article_file/i-3_c-7.pdf</pdf_url>
    <volume>Volume 05</volume>
    <issue>Issue 2</issue>
    <issue_id>3</issue_id>
    <issue_published_month>2011-04-01</issue_published_month>
    <published_date>2012-02-24</published_date>
    <online_first_status>no</online_first_status>
    <online_first_date></online_first_date>
    <history>
      <received></received>
      <revised></revised>
      <accepted></accepted>
    </history>
    <keywords>
      <keyword>Retail Revenue Management</keyword>
      <keyword>Merchandise</keyword>
      <keyword>Elasticity</keyword>
    </keywords>
    <declarations>
      <funding></funding>
      <conflict_of_interest></conflict_of_interest>
      <data_availability></data_availability>
      <author_contributions></author_contributions>
    </declarations>
    <publication_notice>
      <type>none</type>
      <text></text>
    </publication_notice>
    <metrics>
      <views>529635</views>
      <downloads>11</downloads>
      <citations>0</citations>
    </metrics>
    <authors>
      <author>
        <name>Seth A. Bata</name>
        <organization>Revenue Management &amp; Analytics Walt Disney Parks &amp; Resorts,</organization>
        <country></country>
      </author>
      <author>
        <name>Jonathan Beard</name>
        <organization>Revenue Management &amp; Analytics Walt Disney Parks &amp; Resorts,</organization>
        <country></country>
      </author>
      <author>
        <name>Erica Egri</name>
        <organization>Revenue Management &amp; Analytics Walt Disney Parks &amp; Resorts,</organization>
        <country></country>
      </author>
      <author>
        <name>David Morris</name>
        <organization>Revenue Management &amp; Analytics Walt Disney Parks &amp; Resorts,</organization>
        <country></country>
      </author>
    </authors>
    <supplementary_materials/>
  </article>
</article_metadata>
