<?xml version="1.0" encoding="UTF-8"?>
<collection xmlns="http://www.loc.gov/MARC21/slim">
 <record>
  <leader>03051nam a2200505 i 4500</leader>
  <controlfield tag="001">000704221</controlfield>
  <controlfield tag="003">MiAaPQ</controlfield>
  <controlfield tag="005">20240107191410.0</controlfield>
  <controlfield tag="005">20230611131948.0</controlfield>
  <controlfield tag="006">m     o  d |</controlfield>
  <controlfield tag="007">cr cnu||||||||</controlfield>
  <controlfield tag="008">230611s2023    nju     o     001 0 eng d</controlfield>
  <datafield tag="STA" ind1=" " ind2=" ">
   <subfield code="a">NEZPRACOVANÝ IMPORT</subfield>
  </datafield>
  <datafield tag="020" ind1=" " ind2=" ">
   <subfield code="z">9781394184699</subfield>
   <subfield code="q">(print)</subfield>
  </datafield>
  <datafield tag="020" ind1=" " ind2=" ">
   <subfield code="a">9781394184705</subfield>
   <subfield code="q">(electronic bk.)</subfield>
  </datafield>
  <datafield tag="035" ind1=" " ind2=" ">
   <subfield code="a">(MiAaPQ)EBC7235415</subfield>
  </datafield>
  <datafield tag="035" ind1=" " ind2=" ">
   <subfield code="a">(Au-PeEL)EBL7235415</subfield>
  </datafield>
  <datafield tag="035" ind1=" " ind2=" ">
   <subfield code="a">(OCoLC)1376195723</subfield>
  </datafield>
  <datafield tag="050" ind1=" " ind2="4">
   <subfield code="a">HF5429.15</subfield>
   <subfield code="b">.C438 2023</subfield>
  </datafield>
  <datafield tag="082" ind1="0" ind2=" ">
   <subfield code="a">381</subfield>
   <subfield code="2">23</subfield>
  </datafield>
  <datafield tag="100" ind1="1" ind2=" ">
   <subfield code="a">Chaubard, Francois,</subfield>
   <subfield code="e">author.</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
   <subfield code="a">AI for retail :</subfield>
   <subfield code="b">a practical guide to modernize your retail business with AI and automation /</subfield>
   <subfield code="c">Francois Chaubard.</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="1">
   <subfield code="a">Hoboken, New Jersey :</subfield>
   <subfield code="b">John Wiley &amp; Sons, Inc.,</subfield>
   <subfield code="c">[2023]</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="4">
   <subfield code="c">©2023</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
   <subfield code="a">1 online resource (viii, 325 pages)</subfield>
  </datafield>
  <datafield tag="336" ind1=" " ind2=" ">
   <subfield code="a">text</subfield>
   <subfield code="b">txt</subfield>
   <subfield code="2">rdacontent</subfield>
  </datafield>
  <datafield tag="337" ind1=" " ind2=" ">
   <subfield code="a">computer</subfield>
   <subfield code="b">c</subfield>
   <subfield code="2">rdamedia</subfield>
  </datafield>
  <datafield tag="338" ind1=" " ind2=" ">
   <subfield code="a">online resource</subfield>
   <subfield code="b">cr</subfield>
   <subfield code="2">rdacarrier</subfield>
  </datafield>
  <datafield tag="500" ind1=" " ind2=" ">
   <subfield code="a">Includes index.</subfield>
  </datafield>
  <datafield tag="505" ind1="0" ind2=" ">
   <subfield code="a">Why you need this book as a retail leader -- How to use this book -- How AI has revolutionized many other industries over the last 20 years -- The three myths of how AI will transform retail -- How AI will automate and optimize retail -- Level-setting the AI doomsday-ism -- What Is AI? -- From CPUs to GPUs -- Optimization -- Measuring AI performance -- AI learning techniques -- Simulators and AI -- OODA loops -- Hierarchy of data maturity -- A &quot;general theory for retail AI&quot; -- The Inefficiencies in Retail Today -- AI for merchandising -- AI for inventory, ordering, and supply chain management -- AI for replenishment and labor management -- AI for labor budgets and scheduling -- AI for e-commerce and customer service -- AI for warehouse and distribution centers -- AI for checkout -- AI for pricing and promotion -- Other AI use cases -- Create your &quot;AI strategy and roadmap&quot; -- Buying vs. building AI -- How to run a proof of concept bake-off effectively -- Transitioning to a fact-based, data-driven culture.</subfield>
  </datafield>
  <datafield tag="588" ind1=" " ind2=" ">
   <subfield code="a">Description based on print version record.</subfield>
  </datafield>
  <datafield tag="590" ind1=" " ind2=" ">
   <subfield code="a">Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
   <subfield code="a">Retail trade</subfield>
   <subfield code="x">Data processing.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
   <subfield code="a">Artificial intelligence.</subfield>
  </datafield>
  <datafield tag="655" ind1=" " ind2="7">
   <subfield code="a">elektronické knihy</subfield>
   <subfield code="7">fd186907</subfield>
   <subfield code="2">czenas</subfield>
  </datafield>
  <datafield tag="655" ind1=" " ind2="9">
   <subfield code="a">electronic books</subfield>
   <subfield code="2">eczenas</subfield>
  </datafield>
  <datafield tag="776" ind1="0" ind2="8">
   <subfield code="i">Print version:</subfield>
   <subfield code="a">Chaubard, Francois.</subfield>
   <subfield code="t">AI for retail : a practical guide to modernize your retail business with AI and automation.</subfield>
   <subfield code="d">Hoboken, New Jersey : John Wiley &amp; Sons, Inc., c2023</subfield>
   <subfield code="h">viii, 325 pages</subfield>
   <subfield code="z">9781394184699</subfield>
   <subfield code="w">(DLC) 2023006647</subfield>
  </datafield>
  <datafield tag="797" ind1="2" ind2=" ">
   <subfield code="a">ProQuest (Firm)</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="0">
   <subfield code="u">https://ebookcentral.proquest.com/lib/vsep/detail.action?docID=7235415</subfield>
   <subfield code="y">Plný text</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="2">
   <subfield code="u">https://knihovna.vse.cz/zdroje/proquest-ebook-central/?info</subfield>
   <subfield code="y">Informace o práci s e-knihami</subfield>
  </datafield>
  <datafield tag="BAS" ind1=" " ind2=" ">
   <subfield code="a">PQ-OWNED</subfield>
  </datafield>
  <datafield tag="BAS" ind1=" " ind2=" ">
   <subfield code="a">EB</subfield>
  </datafield>
  <datafield tag="993" ind1=" " ind2=" ">
   <subfield code="x">NEPOSILAT</subfield>
   <subfield code="y">EB</subfield>
  </datafield>
 </record>
</collection>
