<?xml version="1.0" encoding="UTF-8"?>
<item xmlns="http://omeka.org/schemas/omeka-xml/v5" itemId="25767" public="1" featured="0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://omeka.org/schemas/omeka-xml/v5 http://omeka.org/schemas/omeka-xml/v5/omeka-xml-5-0.xsd" uri="https://archives.christuniversity.in/items/show/25767?output=omeka-xml" accessDate="2026-06-18T19:34:05+00:00">
  <collection collectionId="7">
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="3139">
                <text>Faculty Publications</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </collection>
  <itemType itemTypeId="28">
    <name>Conference Paper</name>
    <description>Faculty Publications- Conference Papers</description>
  </itemType>
  <elementSetContainer>
    <elementSet elementSetId="1">
      <name>Dublin Core</name>
      <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
      <elementContainer>
        <element elementId="39">
          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
          <elementTextContainer>
            <elementText elementTextId="254756">
              <text>Praveenraj, D. David Winster; Kurup, Rahul R.; Almusawi, Muntather; Lakhamraju, Manoj Varma; Arunkumar, B.; Mittal, Prakhar</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="50">
          <name>Title</name>
          <description>A name given to the resource</description>
          <elementTextContainer>
            <elementText elementTextId="254757">
              <text>Optimizing Retail Operations with Big Data-Driven Insights: From Inventory Management to Personalized Marketing</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="40">
          <name>Date</name>
          <description>A point or period of time associated with an event in the lifecycle of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="254758">
              <text>01-01-2025</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="48">
          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
          <elementTextContainer>
            <elementText elementTextId="254759">
              <text>2025 International Conference on Automation and Computation, AUTOCOM 2025;pp.342-346</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="43">
          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
          <elementTextContainer>
            <elementText elementTextId="254760">
              <text>&lt;a href="https://doi.org/10.1109/AUTOCOM64127.2025.10957411" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/AUTOCOM64127.2025.10957411&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105003902732?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105003902732?origin=resultslist&lt;/a&gt;</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="38">
          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
          <elementTextContainer>
            <elementText elementTextId="254761">
              <text>Praveenraj D.D.W., School of Business and Management, Christ University, Bangalore, India; Kurup R.R., School of Business and Management, Christ University, Bangalore, India; Almusawi M., College of Technical Engineering, The Islamic University, Department Of Computers Techniques Engineering, Najaf, Iraq; Lakhamraju M.V., Teckpros Llc, Department of Hr Technology, 10500 Little Patuxent Pkwy, Suite 430, Columbia, MD, United States; Arunkumar B., Karpagam Academy of Higher Education, Department of Computer Science Engineering, Coimbatore, India; Mittal P., AtriCure, Department of It, MAson, OH, United States</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="41">
          <name>Description</name>
          <description>An account of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="254762">
              <text>In this paper, we look into the role of big data analytics in the strategic transition of retail businesses particularly on inventory management, supply chain and marketing. Using such technologies as big data and machine learning, retailers can find new patterns within such information that can lead to improved efficiency, and satisfaction of consumers. The study also shows noteworthy performance gain in areas of stock out and overstock, inventory Turns and delivery correctness. Even more, the approach to the customer targeting, that stemmed from the principles of the customer segmentation and recommendation systems, led to the growth of the conversion, customer loyalty, and customer lifetime value. The research evidence suggests that information-based management strategies contribute to organizational performance and sustained competitive advantage of firms operating in the retail sector. Issues like data integration, privacy and infrastructural, components are also addressed and hence making it easy form the basis of any future learning and trying out on the real life challenges. The current research focuses on the significance of big data for designing growth and innovation strategies in the changing retail environment.  2025 IEEE.</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="49">
          <name>Subject</name>
          <description>The topic of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="254763">
              <text>Big data analytics; customer experience; customer segmentation; data-driven decision-making; inventory management; machine learning; operational optimization; personalized marketing; retail operations; supply chain efficiency</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="45">
          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
          <elementTextContainer>
            <elementText elementTextId="254764">
              <text>Institute of Electrical and Electronics Engineers Inc.</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="46">
          <name>Relation</name>
          <description>A related resource</description>
          <elementTextContainer>
            <elementText elementTextId="254765">
              <text>ISBN: 979-833154237-5;</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="44">
          <name>Language</name>
          <description>A language of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="254766">
              <text>English</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="51">
          <name>Type</name>
          <description>The nature or genre of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="254767">
              <text>Conference paper</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="47">
          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
          <elementTextContainer>
            <elementText elementTextId="254768">
              <text>Restricted Access; Hardcopy may be available in the library</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="42">
          <name>Format</name>
          <description>The file format, physical medium, or dimensions of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="254769">
              <text>online</text>
            </elementText>
          </elementTextContainer>
        </element>
      </elementContainer>
    </elementSet>
  </elementSetContainer>
</item>
