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0-2.53-1.12-2.93-2.07l-2.22.92c.64 1.54 2.33 3.43 5.15 3.43 2.99 0 5.52-1.76 5.52-6.05V6.49h-2.42v1zm-2.93 8.03c-1.76 0-3.1-1.5-3.1-3.52 0-2.05 1.34-3.52 3.1-3.52 1.74 0 3.1 1.5 3.1 3.54.01 2.03-1.36 3.5-3.1 3.5z"></path><path fill="#FBBC05" d="M38 6.19c-3.21 0-5.83 2.44-5.83 5.81 0 3.34 2.62 5.81 5.83 5.81s5.83-2.46 5.83-5.81c0-3.37-2.62-5.81-5.83-5.81zm0 9.33c-1.76 0-3.28-1.45-3.28-3.52 0-2.09 1.52-3.52 3.28-3.52s3.28 1.43 3.28 3.52c0 2.07-1.52 3.52-3.28 3.52z"></path><path fill="#34A853" d="M58 .24h2.51v17.57H58z"></path><path fill="#EA4335" d="M68.26 15.52c-1.3 0-2.22-.59-2.82-1.76l7.77-3.21-.26-.66c-.48-1.3-1.96-3.7-4.97-3.7-2.99 0-5.48 2.35-5.48 5.81 0 3.26 2.46 5.81 5.76 5.81 2.66 0 4.2-1.63 4.84-2.57l-1.98-1.32c-.66.96-1.56 1.6-2.86 1.6zm-.18-7.15c1.03 0 1.91.53 2.2 1.28l-5.25 2.17c0-2.44 1.73-3.45 3.05-3.45z"></path></svg></div><span class="nRhiJb-rSCjMe-OWXEXe-UBMNlb khBwGd">Cloud</span></a></div></div><div class="nRhiJb-o2XRw-yHKmmc UrjqX"><div class="nRhiJb-rSCjMe"><a class="nRhiJb-rSCjMe-hSRGPd" href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog" title="Google Cloud Blog" track-name="blog" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog" track-metadata-module="header"><span class="nRhiJb-rSCjMe-OWXEXe-UBMNlb khBwGd">Blog</span></a></div></div></div><div class="glue-header__container glue-header__stepped-nav LKvi8b" role="navigation"><div class="glue-header__stepped-nav-controls-container"><div class="glue-header__stepped-nav-controls"><div class="glue-header__stepped-nav-controls-arrow"><svg class="nRhiJb-Bz112c nRhiJb-Bz112c-OWXEXe-SFi8G" viewbox="0 0 24 24" role="presentation" aria-hidden="true"><path d="M16.41 5.41L15 4l-8 8 8 8 1.41-1.41L9.83 12"></path></svg><svg class="nRhiJb-Bz112c nRhiJb-Bz112c-OWXEXe-SFi8G glue-header__stepped-nav-subnav-icon" viewbox="0 0 24 24" role="presentation" aria-hidden="true"><path d="M7.59 18.59L9 20l8-8-8-8-1.41 1.41L14.17 12"></path></svg></div><div class="glue-header__stepped-nav-controls-title glue-header__link"></div></div></div><div class="glue-header__stepped-nav-menus"></div></div><div class="glue-header__container nRhiJb-J6KYL-OWXEXe-Q4irje"><nav class="glue-header__link-bar"><ul class="glue-header__list glue-header__list--nested glue-header__deep-nav URiJfb"><li class="glue-header__item "><a class="glue-header__link">Solutions & technology<svg class="nRhiJb-Bz112c nRhiJb-Bz112c-OWXEXe-SFi8G" viewbox="0 0 24 24" role="presentation" aria-hidden="true"><path d="M5.41 7.59L4 9l8 8 8-8-1.41-1.41L12 14.17"></path></svg></a><ul class="glue-header__list NDdrcc"><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/ai-machine-learning" track-name="ai & machine learning" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/ai-machine-learning" track-metadata-module="header"><span>AI & Machine Learning</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/api-management" track-name="api management" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/api-management" track-metadata-module="header"><span>API Management</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/application-development" track-name="application development" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/application-development" track-metadata-module="header"><span>Application Development</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/application-modernization" track-name="application modernization" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/application-modernization" track-metadata-module="header"><span>Application Modernization</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/chrome-enterprise" track-name="chrome enterprise" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/chrome-enterprise" track-metadata-module="header"><span>Chrome Enterprise</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/compute" track-name="compute" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/compute" track-metadata-module="header"><span>Compute</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/containers-kubernetes" track-name="containers & kubernetes" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/containers-kubernetes" track-metadata-module="header"><span>Containers & Kubernetes</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/data-analytics" track-name="data analytics" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/data-analytics" track-metadata-module="header"><span>Data Analytics</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/databases" track-name="databases" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/databases" track-metadata-module="header"><span>Databases</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/devops-sre" track-name="devops & sre" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/devops-sre" track-metadata-module="header"><span>DevOps & SRE</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/maps-geospatial" track-name="maps & geospatial" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/maps-geospatial" track-metadata-module="header"><span>Maps & Geospatial</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/identity-security" track-name="security & identity" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/identity-security" track-metadata-module="header"><span>Security & Identity</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/infrastructure" track-name="infrastructure" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/infrastructure" track-metadata-module="header"><span>Infrastructure</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/infrastructure-modernization" track-name="infrastructure modernization" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/infrastructure-modernization" track-metadata-module="header"><span>Infrastructure Modernization</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/networking" track-name="networking" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/networking" track-metadata-module="header"><span>Networking</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/productivity-collaboration" track-name="productivity & collaboration" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/productivity-collaboration" track-metadata-module="header"><span>Productivity & Collaboration</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/sap-google-cloud" track-name="sap on google cloud" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/sap-google-cloud" track-metadata-module="header"><span>SAP on Google Cloud</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/storage-data-transfer" track-name="storage & data transfer" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/storage-data-transfer" track-metadata-module="header"><span>Storage & Data Transfer</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/sustainability" track-name="sustainability" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/sustainability" track-metadata-module="header"><span>Sustainability</span></a></li></ul></li><li class="glue-header__item "><a class="glue-header__link">Ecosystem<svg class="nRhiJb-Bz112c nRhiJb-Bz112c-OWXEXe-SFi8G" viewbox="0 0 24 24" role="presentation" aria-hidden="true"><path d="M5.41 7.59L4 9l8 8 8-8-1.41-1.41L12 14.17"></path></svg></a><ul class="glue-header__list NDdrcc"><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/transform" track-name="it leaders" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/transform" track-metadata-module="header"><span>IT Leaders</span></a></li><li class="glue-header__item "><a class="glue-header__link janap">Industries<svg class="nRhiJb-Bz112c nRhiJb-Bz112c-OWXEXe-SFi8G" viewbox="0 0 24 24" role="presentation" aria-hidden="true"><path d="M7.59 18.59L9 20l8-8-8-8-1.41 1.41L14.17 12"></path></svg></a><ul class="glue-header__list NDdrcc"><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/financial-services" track-name="financial services" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/financial-services" track-metadata-module="header"><span>Financial Services</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/healthcare-life-sciences" track-name="healthcare & life sciences" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/healthcare-life-sciences" track-metadata-module="header"><span>Healthcare & Life Sciences</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/manufacturing" track-name="manufacturing" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/manufacturing" track-metadata-module="header"><span>Manufacturing</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/media-entertainment" track-name="media & entertainment" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/media-entertainment" track-metadata-module="header"><span>Media & Entertainment</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/public-sector" track-name="public sector" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/public-sector" track-metadata-module="header"><span>Public Sector</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/retail" track-name="retail" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/retail" track-metadata-module="header"><span>Retail</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/supply-chain-logistics" track-name="supply chain" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/supply-chain-logistics" track-metadata-module="header"><span>Supply Chain</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/telecommunications" track-name="telecommunications" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/telecommunications" track-metadata-module="header"><span>Telecommunications</span></a></li></ul></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/partners" track-name="partners" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/partners" track-metadata-module="header"><span>Partners</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/startups" track-name="startups & smb" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/startups" track-metadata-module="header"><span>Startups & SMB</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/training-certifications" track-name="training & certifications" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/training-certifications" track-metadata-module="header"><span>Training & Certifications</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/inside-google-cloud" track-name="inside google cloud" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/inside-google-cloud" track-metadata-module="header"><span>Inside Google Cloud</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/google-cloud-next" track-name="google cloud next & events" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/google-cloud-next" track-metadata-module="header"><span>Google Cloud Next & Events</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/maps-platform" track-name="google maps platform" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/products/maps-platform" track-metadata-module="header"><span>Google Maps Platform</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="http://web.archive.org/web/20240116232707/https://workspace.google.com/blog" track-name="google workspace" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="workspace.google.com/blog" track-metadata-module="header" target="_blank"><span>Google Workspace<svg class="nRhiJb-Bz112c nRhiJb-Bz112c-OWXEXe-SFi8G FsOzib nRhiJb-tHaKme-AipIyc" viewbox="0 0 24 24" role="presentation" aria-hidden="true"><path d="m8.9 16.075 5.4-5.4v2.675h1.4V8.3h-5.05v1.4h2.65l-5.375 5.375ZM12 21.3q-1.925 0-3.625-.738-1.7-.737-2.95-1.987-1.25-1.25-1.987-2.95Q2.7 13.925 2.7 12t.738-3.625q.737-1.7 1.987-2.95 1.25-1.25 2.95-1.988Q10.075 2.7 12 2.7t3.625.737q1.7.738 2.95 1.988 1.25 1.25 1.987 2.95.738 1.7.738 3.625t-.738 3.625q-.737 1.7-1.987 2.95-1.25 1.25-2.95 1.987-1.7.738-3.625.738Z"></path></svg></span></a></li></ul></li><li class="glue-header__item "><a class="glue-header__link " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/developers-practitioners" track-name="developers & practitioners" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/blog/topics/developers-practitioners" track-metadata-module="header"><span>Developers & Practitioners</span></a></li><li class="glue-header__item "><a class="glue-header__link " href="http://web.archive.org/web/20240116232707/https://cloud.google.com/transform" track-name="transform with google cloud" track-type="blog nav" track-metadata-position="nav" track-metadata-eventdetail="cloud.google.com/transform" track-metadata-module="header"><span>Transform with Google Cloud</span></a></li></ul></nav></div><div class="glue-header__container ca6rub nRhiJb-J6KYL-OWXEXe-SU0ZEf"><div class="nRhiJb-GUI8l"><a 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Framework with SAP</div></h1></div></div><div class="nRhiJb-fmcmS-oXtfBe dEogG">July 27, 2023</div></div></section><div class="EKklye"><div class="nRhiJb-DARUcf ZWw7T"><div class="npzWPc"><div class="dzoHJ"><div class="nRhiJb-DX2B6 nRhiJb-DX2B6-OWXEXe-h30Snd"><div class="nRhiJb-j5y3u"><ul class="nRhiJb-Qijihe phRaUe" role="list"><li class="hpHPGf"><a class="nRhiJb-ARYxNe" href="http://web.archive.org/web/20240116232707/https://twitter.com/intent/tweet?text=Faster%20retailer%20success%20with%20Google%20Cloud%20Shelf%20Checking%20AI%20and%20Cortex%20Framework%20with%20SAP%20@googlecloud&url=https://cloud.google.com/blog/topics/retail/google-shelf-checking-ai-and-cortex-framework-with-sap-erp" track-name="twitter" track-type="social share" track-metadata-eventdetail="twitter.com/intent/tweet?text=Faster retailer success with Google Cloud Shelf Checking AI and Cortex Framework with 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SAP%0A%0AIntegration between Google Cloud’s Shelf Checking API and SAP ERP systems gives retailers new tools to reduce shelf-outs and stock-outs.%0A%0Acloud.google.com/blog/topics/retail/google-shelf-checking-ai-and-cortex-framework-with-sap-erp" track-metadata-module="social icons" target="_blank" rel="noopener"><svg class="nRhiJb-Bz112c nRhiJb-Bz112c-OWXEXe-DX2B6 nRhiJb-Bz112c-OWXEXe-nSuQf" viewbox="0 0 24 24" role="presentation" aria-hidden="true" role="presentation" aria-hidden="true"><path d="M20 4H4c-1.1 0-2 .9-2 2v12c0 1.1.9 2 2 2h16c1.1 0 2-.9 2-2V6c0-1.1-.9-2-2-2zm-.8 2L12 10.8 4.8 6h14.4zM4 18V7.87l8 5.33 8-5.33V18H4z"></path></svg></a></li></ul></div></div></div></div></div><div><section class="nRhiJb-DARUcf"><div class="nRhiJb-DbgRPb-wNfPc-ma6Yeb nRhiJb-DbgRPb-wNfPc-cGMI2b"><section class="DA9Qj nRhiJb-ObfsIf nRhiJb-fmcmS-oXtfBe"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-c5RTEf"></div><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-qWD73c"><h5 class="cHE8Ub Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c">Shilpi Srivastava</h5><p class="nRhiJb-qJTHM khCp7b">Principal SAP Specialist CE , Google Cloud</p></div></section></div></section><div class="nRhiJb-DARUcf"><div class="nRhiJb-ObfsIf nRhiJb-DbgRPb-wNfPc-ma6Yeb nRhiJb-DbgRPb-qWD73c-cGMI2b"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-ibL1re"></div><div class="OYL9D nRhiJb-kR0ZEf-OWXEXe-GV1x9e-OiUrBf" jsname="tx2NYc"><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk="5:kbe95"><p>Imagine this scenario: you walk into a store with a specific brand of product in mind, excited to make the purchase, only to be disappointed when you find out it's completely sold out on the shelves. This situation is all too familiar for many of us. </p><p>No shopper wants to walk into a store to find empty shelves. While some shoppers may patiently seek assistance from a store employee, most will leave without purchasing, even if the product they want is in stock. The lost sales opportunity can lead to reduced revenue, decreased profitability, and an unsatisfactory customer experience. And today, the problem of empty shelves has only gotten worse, as freelance shoppers and ordering apps have upended traditional shopping patterns. In 2021 alone, the absence of products on shelves cost American retailers <a href="http://web.archive.org/web/20240116232707/https://nielseniq.com/global/en/insights/analysis/2022/empty-shelves-in-america-u-s-retailers-lost-over-82-billion-in-2021/" target="_blank">$82 billion in missed sales</a>. </p><p>For as long as stores have been around, store operators have attempted to keep their shelves stocked. Manually checking thousands of items in a large store is expensive and a lot of work for associates. <b>To get ahead, they need some level of automation to scan the shelves</b>, for example, by mounting cameras to take pictures of the shelves to help associates gain insights when shelf products are low. </p><p>While this is a promising approach, <b>the challenge becomes analyzing data at scale</b>. With potentially millions of products sold across a company’s retail stores, image capturing solutions require highly scalable training setups and massive amounts of data to train models that can recognize and map images of products. </p><p>At Google Cloud, we’ve been using our expertise in Data & AI to help solve this problem at scale. We also use <a href="http://web.archive.org/web/20240116232707/https://cloud.google.com/solutions/cortex">Google Cloud Cortex Framework</a> to help accelerate data access and availability of relevant data sources like product and inventory data from SAP ERP. When combined with insights on shelf management, this creates a unified data layer that enables efficient task management, leading to increased productivity for store associates. Read on to learn more.</p><h3>Real-time Shelf Checking AI: The solution to empty shelves</h3><p>At the National Retail Federation (NRF) event earlier this year, we announced new AI tools for retailers, including <a href="http://web.archive.org/web/20240116232707/https://www.googlecloudpresscorner.com/2023-01-13-Google-Cloud-Unveils-New-AI-Tools-for-Retailers" target="_blank">Shelf Checking AI</a>, which harness the power of automation, AI expertise, and data processing to help address the problem of empty shelves. </p><p>This solution utilizes pre-trained machine learning models to associate images with particular products by leveraging the <a href="http://web.archive.org/web/20240116232707/https://cloud.google.com/vision-ai/docs/product-recognizer">Product Recognizer AI model</a> and identifies pricing tag attributes (e.g. price, product title) through the <a href="http://web.archive.org/web/20240116232707/https://cloud.google.com/vision-ai/docs/tag-recognizer">Tag Recognizer AI model</a>. In addition, it supports various modalities for capturing shelf images, including robotic automation, fixed cameras, shelf edge cameras and mobile devices. Currently in Preview, Shelf Checking AI represents a significant step forward in solving the challenges of keeping shelves adequately stocked, helping retailers to improve their bottom line, customer experience, and brand reputation.</p></span></section><section class="QzPuud"><div><section><figure class="NEBdNd"><section class="PBkdHd DhGbH" jscontroller="SCGBie" jsaction="rcuQ6b:npT2md"><img class="JcsBte mZzdH ZOnyjc" src="http://web.archive.org/web/20240116232707im_/https://storage.googleapis.com/gweb-cloudblog-publish/original_images/1_2w2box0.gif" alt="https://storage.googleapis.com/gweb-cloudblog-publish/original_images/1_2w2box0.gif" jsname="P3Vluc" jsaction="click:HTIlC" loading="lazy"/><section class="glue-modal glue-modal--dark QHdDac" role="dialog" aria-modal="true"><img class="JcsBte mZzdH ZOnyjc" src="http://web.archive.org/web/20240116232707im_/https://storage.googleapis.com/gweb-cloudblog-publish/original_images/1_2w2box0.gif" alt="https://storage.googleapis.com/gweb-cloudblog-publish/original_images/1_2w2box0.gif" jsname="P3Vluc" jsaction="click:HTIlC" loading="lazy"/><button class="glue-modal__close-btn" tabindex="0" aria-label="Close this modal"></button></section></section></figure></section></div></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk="5:kbe95"><p>At the heart of Shelf Checking AI is the Product Recognizer AI model, which can identify the products in an image or on a shelf. The model can be applied to images of store shelves taken using cameras or mobile devices. In addition, Shelf Checking AI uses Google's vast collection of product information, including a product’s GTIN/UPC identity, brand, title, cross-language descriptions, logo, imagery featuring different packaging variations, and more. With this product database, the Product Recognizer AI model can quickly identify numerous products.</p><h3>Google Cloud and SAP: A better together solution</h3><p>Now that you have real-time visibility into which of your shelves are empty, you can act to address the problem. But is this data alone enough to guide you in making informed decisions? No. You also need supplementary data from your ERP system to make more informed decisions on how to optimize restocking — data such as:</p><ul><li><p><b>High-margin products</b>: To help prioritize your restocking efforts.</p></li><li><p><b>In-store product inventory on hand</b>: To determine whether a product needs to be restocked.</p></li><li><p><b>Supplier lead time</b>: To help determine when to reorder products from suppliers to arrive in time to be restocked.</p></li><li><p><b>Frequency of orders</b>: To determine how often you need to reorder products.</p></li></ul><p>The data you collect from your shelves and ERP applications like SAP provides powerful contextual insights. By combining these two datasets, you can better understand your operations and make better decisions.</p><p>For example, you can use this data to:</p><ul><li><p><b>Prioritize your restocking tasks</b>: By understanding which products are most in demand and have the highest margins, you can prioritize your restocking efforts and ensure that your shelves are always stocked to maximize profitability. </p></li><li><p><b>Optimize your workforce</b>: Automating task management for replenishment and scheduling the frequency of restocking can help retailers make better use of their workforce.</p></li><li><p><b>Reduce stock-outs</b>: By knowing your inventory levels and your demand, you can minimize running out of products.</p></li><li><p><b>Optimize replenishment</b>: By knowing your lead times and demand, you can process and reduce costs.</p></li></ul></span></section><section class="QzPuud"><div><section><figure class="NEBdNd"><section class="PBkdHd DhGbH" jscontroller="SCGBie" jsaction="rcuQ6b:npT2md"><img class="JcsBte mZzdH ZOnyjc" src="http://web.archive.org/web/20240116232707im_/https://storage.googleapis.com/gweb-cloudblog-publish/images/2_zi1D9ni.max-1000x1000.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/2_zi1D9ni.max-1000x1000.jpg" jsname="P3Vluc" jsaction="click:HTIlC" loading="lazy"/><section class="glue-modal glue-modal--dark QHdDac" role="dialog" aria-modal="true"><img class="JcsBte mZzdH ZOnyjc" src="http://web.archive.org/web/20240116232707im_/https://storage.googleapis.com/gweb-cloudblog-publish/images/2_zi1D9ni.max-1000x1000.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/2_zi1D9ni.max-1000x1000.jpg" jsname="P3Vluc" jsaction="click:HTIlC" loading="lazy"/><button class="glue-modal__close-btn" tabindex="0" aria-label="Close this modal"></button></section></section></figure></section></div></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk="5:kbe95"><p>Google Cloud can help retailers answer these questions and more by unifying enterprise data sets, including expediting access to SAP data, for advanced analytics and insights.</p><p>However, working with SAP data outside of SAP systems can be a challenge. SAP data has a lot of business semantics and extracting it from its application layer into an external data cloud usually requires manual effort to bring this together. </p><p>That’s where Google Cloud Cortex Framework comes in and helps you get value from your SAP data quicker by providing reference architecture patterns for integration, and a set of predefined deployable solution accelerator content for fast data processing and modeling within <a href="http://web.archive.org/web/20240116232707/https://cloud.google.com/bigquery/?utm_source=google&utm_medium=cpc&utm_campaign=emea-gb-all-en-dr-bkws-all-all-trial-e-gcp-1011340&utm_content=text-ad-none-any-DEV_c-CRE_253506573802-ADGP_Hybrid%20%7C%20BKWS%20-%20EXA%20%7C%20Txt%20~%20Data%20Analytics%20~%20BigQuery%23v7-KWID_43700053283817151-aud-606988878614%3Akwd-63326440124-userloc_9045888&utm_term=KW_google%20bigquery-NET_g-PLAC_&&gad=1&gclid=CjwKCAjwg-GjBhBnEiwAMUvNWzGWq0UOcGBXU7tFfTwqJKa2-UTruyKsbwwRzAIAP5_x4UX6wbEnuBoCDO0QAvD_BwE&gclsrc=aw.ds">BigQuery</a> as a foundation for advanced insights and AI processing at scale.</p></span></section><section class="QzPuud"><div><section><figure class="NEBdNd"><section class="PBkdHd DhGbH" jscontroller="SCGBie" jsaction="rcuQ6b:npT2md"><img class="JcsBte mZzdH ZOnyjc" src="http://web.archive.org/web/20240116232707im_/https://storage.googleapis.com/gweb-cloudblog-publish/images/3_AIRKl3j.max-1000x1000.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/3_AIRKl3j.max-1000x1000.jpg" jsname="P3Vluc" jsaction="click:HTIlC" loading="lazy"/><section class="glue-modal glue-modal--dark QHdDac" role="dialog" aria-modal="true"><img class="JcsBte mZzdH ZOnyjc" src="http://web.archive.org/web/20240116232707im_/https://storage.googleapis.com/gweb-cloudblog-publish/images/3_AIRKl3j.max-1000x1000.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/3_AIRKl3j.max-1000x1000.jpg" jsname="P3Vluc" jsaction="click:HTIlC" loading="lazy"/><button class="glue-modal__close-btn" tabindex="0" aria-label="Close this modal"></button></section></section></figure></section></div></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk="5:kbe95"><p>You can deploy <a href="http://web.archive.org/web/20240116232707/https://github.com/GoogleCloudPlatform/cortex-data-foundation" target="_blank">Cortex Data Foundation</a> for SAP content rapidly into your Google Cloud BigQuery environment, and get a set of rich SAP context-aware data models and insights into relevant areas like products, order frequency, inventory on hand, supplier lead times and more. Cortex Framework can help to provide the data foundation for decision-making leading to effective business outcomes such as task management, workforce optimization, and replenishment. For example, Cortex Data Foundation for SAP, combined with POS data, and Shelf Checking AI can improve store associates' productivity by assisting the store manager in managing and planning fulfillment tasks. This can result in maximizing profitability and minimizing the occurrence of both shelf-outs and stock-outs.</p><p>Elevating the level of insight automation involves incorporating a comprehensive 360-degree view of your shelf, products, product margins, order frequency, and stock information which can then be utilized to generate an optimized task list and sent to the store operator's mobile application.</p><p>This solution approach can also provide a foundation to enable several other benefits, including but not limited to:</p><ul><li><p><b>Near real-time demand sensing</b> through the integration of external signals like trends, weather conditions, Instacart orders, real-time shelf consumption, and local events to forecast the short-term market</p></li><li><p><b>Enhanced competitive pricing</b> analytics</p></li><li><p><b>Optimized pricing and promotions</b>, and much more.</p></li></ul><p>With Google Cloud Cortex Framework solution accelerators like <a href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/sap-google-cloud/accelerating-sap-cpg-enterprises-with-google-cloud-cortex-framework">Demand Sensing</a>, customers can also solve challenges around faster demand with predefined data models and AI templates that help to bring data together and extend the value of existing demand planning capabilities.</p></span></section><section class="QzPuud"><div><section><figure class="NEBdNd"><section class="PBkdHd DhGbH" jscontroller="SCGBie" jsaction="rcuQ6b:npT2md"><img class="JcsBte mZzdH ZOnyjc" src="http://web.archive.org/web/20240116232707im_/https://storage.googleapis.com/gweb-cloudblog-publish/images/4_wkcdUPN.max-1000x1000.png" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/4_wkcdUPN.max-1000x1000.png" jsname="P3Vluc" jsaction="click:HTIlC" loading="lazy"/><section class="glue-modal glue-modal--dark QHdDac" role="dialog" aria-modal="true"><img class="JcsBte mZzdH ZOnyjc" src="http://web.archive.org/web/20240116232707im_/https://storage.googleapis.com/gweb-cloudblog-publish/images/4_wkcdUPN.max-1000x1000.png" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/4_wkcdUPN.max-1000x1000.png" jsname="P3Vluc" jsaction="click:HTIlC" loading="lazy"/><button class="glue-modal__close-btn" tabindex="0" aria-label="Close this modal"></button></section></section></figure></section></div></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk="5:kbe95"><p>The integration of business data into a comprehensive perspective offers limitless potential and outcomes. By blending a comprehensive outlook of your physical store with transactional data, you can enable competitive pricing analysis, real-time pricing and campaign management, better store, shelf & warehouse visibility for restocking, better store associate productivity and increased supplier involvement. With the data foundation from Cortex and AI enabled insights, the possibilities are endless.</p><p>Learn more and start your journey today with Google Cloud’s <a href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/transform/nrf-2023-google-cloud-big-show-big-moment-hybrid-retail">Shelf Checking AI</a> and <a href="http://web.archive.org/web/20240116232707/https://cloud.google.com/solutions/cortex">Cortex Framework</a> solutions. </p></span></section><section class="kcBhad"><section class="Fabbec"><span class="WrMNjb">Posted in</span><ul class="FzXI4e"><li class="I4B51b"><a href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/retail" track-metadata-position="body" track-metadata-eventdetail="cloud.google.com/blog/topics/retail" track-metadata-module="tag list" track-metadata-module_headline="posted in">Retail</a></li><li class="I4B51b"><a href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/sap-google-cloud" track-metadata-position="body" track-metadata-eventdetail="cloud.google.com/blog/products/sap-google-cloud" track-metadata-module="tag list" track-metadata-module_headline="posted in">SAP on Google Cloud</a></li><li class="I4B51b"><a href="http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/ai-machine-learning" track-metadata-position="body" track-metadata-eventdetail="cloud.google.com/blog/products/ai-machine-learning" track-metadata-module="tag list" track-metadata-module_headline="posted in">AI & Machine Learning</a></li></ul></section></section></div></div></div></div></div><section class="nRhiJb-DARUcf " track-metadata-module="related articles" track-metadata-module_headline="related articles"><div class="nRhiJb-DbgRPb-c5RTEf-ma6Yeb nRhiJb-DbgRPb-wNfPc-cGMI2b"><h5 class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-wNfPc 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only to be disappointed when you find out it's completely sold out on the shelves. This situation is all too familiar for many of us. \u003c/p\u003e\u003cp\u003eNo shopper wants to walk into a store to find empty shelves. While some shoppers may patiently seek assistance from a store employee, most will leave without purchasing, even if the product they want is in stock. The lost sales opportunity can lead to reduced revenue, decreased profitability, and an unsatisfactory customer experience. And today, the problem of empty shelves has only gotten worse, as freelance shoppers and ordering apps have upended traditional shopping patterns. In 2021 alone, the absence of products on shelves cost American retailers \u003ca href\u003d\"https://nielseniq.com/global/en/insights/analysis/2022/empty-shelves-in-america-u-s-retailers-lost-over-82-billion-in-2021/\" target\u003d\"_blank\"\u003e$82 billion in missed sales\u003c/a\u003e. \u003c/p\u003e\u003cp\u003eFor as long as stores have been around, store operators have attempted to keep their shelves stocked. Manually checking thousands of items in a large store is expensive and a lot of work for associates. \u003cb\u003eTo get ahead, they need some level of automation to scan the shelves\u003c/b\u003e, for example, by mounting cameras to take pictures of the shelves to help associates gain insights when shelf products are low. \u003c/p\u003e\u003cp\u003eWhile this is a promising approach, \u003cb\u003ethe challenge becomes analyzing data at scale\u003c/b\u003e. With potentially millions of products sold across a company’s retail stores, image capturing solutions require highly scalable training setups and massive amounts of data to train models that can recognize and map images of products. \u003c/p\u003e\u003cp\u003eAt Google Cloud, we’ve been using our expertise in Data \u0026amp; AI to help solve this problem at scale. We also use \u003ca href\u003d\"https://cloud.google.com/solutions/cortex\"\u003eGoogle Cloud Cortex Framework\u003c/a\u003e to help accelerate data access and availability of relevant data sources like product and inventory data from SAP ERP. When combined with insights on shelf management, this creates a unified data layer that enables efficient task management, leading to increased productivity for store associates. Read on to learn more.\u003c/p\u003e\u003ch3\u003eReal-time Shelf Checking AI: The solution to empty shelves\u003c/h3\u003e\u003cp\u003eAt the National Retail Federation (NRF) event earlier this year, we announced new AI tools for retailers, including \u003ca href\u003d\"https://www.googlecloudpresscorner.com/2023-01-13-Google-Cloud-Unveils-New-AI-Tools-for-Retailers\" target\u003d\"_blank\"\u003eShelf Checking AI\u003c/a\u003e, which harness the power of automation, AI expertise, and data processing to help address the problem of empty shelves. \u003c/p\u003e\u003cp\u003eThis solution utilizes pre-trained machine learning models to associate images with particular products by leveraging the \u003ca href\u003d\"https://cloud.google.com/vision-ai/docs/product-recognizer\"\u003eProduct Recognizer AI model\u003c/a\u003e and identifies pricing tag attributes (e.g. price, product title) through the \u003ca href\u003d\"https://cloud.google.com/vision-ai/docs/tag-recognizer\"\u003eTag Recognizer AI model\u003c/a\u003e. In addition, it supports various modalities for capturing shelf images, including robotic automation, fixed cameras, shelf edge cameras and mobile devices. Currently in Preview, Shelf Checking AI represents a significant step forward in solving the challenges of keeping shelves adequately stocked, helping retailers to improve their bottom line, customer experience, and brand reputation.\u003c/p\u003e"]]],[null,null,null,null,null,null,null,null,[[[null,""],["http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/original_images/1_2w2box0.gif",null,null,"http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/original_images/1_2w2box0.gif"],null,3]]],[null,null,[null,[null,"\u003cp\u003eAt the heart of Shelf Checking AI is the Product Recognizer AI model, which can identify the products in an image or on a shelf. The model can be applied to images of store shelves taken using cameras or mobile devices. In addition, Shelf Checking AI uses Google's vast collection of product information, including a product’s GTIN/UPC identity, brand, title, cross-language descriptions, logo, imagery featuring different packaging variations, and more. With this product database, the Product Recognizer AI model can quickly identify numerous products.\u003c/p\u003e\u003ch3\u003eGoogle Cloud and SAP: A better together solution\u003c/h3\u003e\u003cp\u003eNow that you have real-time visibility into which of your shelves are empty, you can act to address the problem. But is this data alone enough to guide you in making informed decisions? No. You also need supplementary data from your ERP system to make more informed decisions on how to optimize restocking — data such as:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eHigh-margin products\u003c/b\u003e: To help prioritize your restocking efforts.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eIn-store product inventory on hand\u003c/b\u003e: To determine whether a product needs to be restocked.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eSupplier lead time\u003c/b\u003e: To help determine when to reorder products from suppliers to arrive in time to be restocked.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eFrequency of orders\u003c/b\u003e: To determine how often you need to reorder products.\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eThe data you collect from your shelves and ERP applications like SAP provides powerful contextual insights. By combining these two datasets, you can better understand your operations and make better decisions.\u003c/p\u003e\u003cp\u003eFor example, you can use this data to:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003ePrioritize your restocking tasks\u003c/b\u003e: By understanding which products are most in demand and have the highest margins, you can prioritize your restocking efforts and ensure that your shelves are always stocked to maximize profitability. \u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eOptimize your workforce\u003c/b\u003e: Automating task management for replenishment and scheduling the frequency of restocking can help retailers make better use of their workforce.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eReduce stock-outs\u003c/b\u003e: By knowing your inventory levels and your demand, you can minimize running out of products.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eOptimize replenishment\u003c/b\u003e: By knowing your lead times and demand, you can process and reduce costs.\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e"]]],[null,null,null,null,null,null,null,null,[[[null,""],["http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/2_zi1D9ni.max-1000x1000.jpg",null,null,"http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/2_zi1D9ni.max-1000x1000.jpg"],null,3]]],[null,null,[null,[null,"\u003cp\u003eGoogle Cloud can help retailers answer these questions and more by unifying enterprise data sets, including expediting access to SAP data, for advanced analytics and insights.\u003c/p\u003e\u003cp\u003eHowever, working with SAP data outside of SAP systems can be a challenge. SAP data has a lot of business semantics and extracting it from its application layer into an external data cloud usually requires manual effort to bring this together. \u003c/p\u003e\u003cp\u003eThat’s where Google Cloud Cortex Framework comes in and helps you get value from your SAP data quicker by providing reference architecture patterns for integration, and a set of predefined deployable solution accelerator content for fast data processing and modeling within \u003ca href\u003d\"https://cloud.google.com/bigquery/?utm_source\u003dgoogle\u0026amp;utm_medium\u003dcpc\u0026amp;utm_campaign\u003demea-gb-all-en-dr-bkws-all-all-trial-e-gcp-1011340\u0026amp;utm_content\u003dtext-ad-none-any-DEV_c-CRE_253506573802-ADGP_Hybrid%20%7C%20BKWS%20-%20EXA%20%7C%20Txt%20~%20Data%20Analytics%20~%20BigQuery%23v7-KWID_43700053283817151-aud-606988878614%3Akwd-63326440124-userloc_9045888\u0026amp;utm_term\u003dKW_google%20bigquery-NET_g-PLAC_\u0026amp;\u0026amp;gad\u003d1\u0026amp;gclid\u003dCjwKCAjwg-GjBhBnEiwAMUvNWzGWq0UOcGBXU7tFfTwqJKa2-UTruyKsbwwRzAIAP5_x4UX6wbEnuBoCDO0QAvD_BwE\u0026amp;gclsrc\u003daw.ds\"\u003eBigQuery\u003c/a\u003e as a foundation for advanced insights and AI processing at scale.\u003c/p\u003e"]]],[null,null,null,null,null,null,null,null,[[[null,""],["http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/3_AIRKl3j.max-1000x1000.jpg",null,null,"http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/3_AIRKl3j.max-1000x1000.jpg"],null,3]]],[null,null,[null,[null,"\u003cp\u003eYou can deploy \u003ca href\u003d\"https://github.com/GoogleCloudPlatform/cortex-data-foundation\" target\u003d\"_blank\"\u003eCortex Data Foundation\u003c/a\u003e for SAP content rapidly into your Google Cloud BigQuery environment, and get a set of rich SAP context-aware data models and insights into relevant areas like products, order frequency, inventory on hand, supplier lead times and more. Cortex Framework can help to provide the data foundation for decision-making leading to effective business outcomes such as task management, workforce optimization, and replenishment. For example, Cortex Data Foundation for SAP, combined with POS data, and Shelf Checking AI can improve store associates' productivity by assisting the store manager in managing and planning fulfillment tasks. This can result in maximizing profitability and minimizing the occurrence of both shelf-outs and stock-outs.\u003c/p\u003e\u003cp\u003eElevating the level of insight automation involves incorporating a comprehensive 360-degree view of your shelf, products, product margins, order frequency, and stock information which can then be utilized to generate an optimized task list and sent to the store operator's mobile application.\u003c/p\u003e\u003cp\u003eThis solution approach can also provide a foundation to enable several other benefits, including but not limited to:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eNear real-time demand sensing\u003c/b\u003e through the integration of external signals like trends, weather conditions, Instacart orders, real-time shelf consumption, and local events to forecast the short-term market\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eEnhanced competitive pricing\u003c/b\u003e analytics\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eOptimized pricing and promotions\u003c/b\u003e, and much more.\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eWith Google Cloud Cortex Framework solution accelerators like \u003ca href\u003d\"https://cloud.google.com/blog/products/sap-google-cloud/accelerating-sap-cpg-enterprises-with-google-cloud-cortex-framework\"\u003eDemand Sensing\u003c/a\u003e, customers can also solve challenges around faster demand with predefined data models and AI templates that help to bring data together and extend the value of existing demand planning capabilities.\u003c/p\u003e"]]],[null,null,null,null,null,null,null,null,[[[null,""],["http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/4_wkcdUPN.max-1000x1000.png",null,null,"http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/4_wkcdUPN.max-1000x1000.png"],null,3]]],[null,null,[null,[null,"\u003cp\u003eThe integration of business data into a comprehensive perspective offers limitless potential and outcomes. By blending a comprehensive outlook of your physical store with transactional data, you can enable competitive pricing analysis, real-time pricing and campaign management, better store, shelf \u0026amp; warehouse visibility for restocking, better store associate productivity and increased supplier involvement. With the data foundation from Cortex and AI enabled insights, the possibilities are endless.\u003c/p\u003e\u003cp\u003eLearn more and start your journey today with Google Cloud’s \u003ca href\u003d\"https://cloud.google.com/blog/transform/nrf-2023-google-cloud-big-show-big-moment-hybrid-retail\"\u003eShelf Checking AI\u003c/a\u003e and \u003ca href\u003d\"https://cloud.google.com/solutions/cortex\"\u003eCortex Framework\u003c/a\u003e solutions. \u003c/p\u003e"]]]],[["Business Intelligence","Looker Studio brings powerful explorations, fresher data and faster filtering","Looker Studio introduces a collection of new visual analysis capabilities, including new data explorations, automated report updates, faster filtering and personal report links.",["http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/googlecloud_2022_RYqbQfm.max-700x700.jpg","http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/googlecloud_2022_RYqbQfm.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/googlecloud_2022_RYqbQfm.max-700x700.jpg 648w"," 324px, 648px","http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/googlecloud_2022_RYqbQfm.max-700x700.jpg"],null,3,null,"http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/business-intelligence/looker-studio-brings-powerful-explorations-fresher-data-and-faster-filtering",null,1,[["Aqsa Fulara","Product Manager, Google Cloud"]]],["AI \u0026 Machine Learning","No more double vision: How Miinto improved its customer experience using Vertex AI Vision","How Minto improved customer service with Vertex AI Vision from Google Cloud.",["http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/original_images/GCP977-Miinto_v02.gif","http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/original_images/GCP977-Miinto_v02.gif 324w, https://storage.googleapis.com/gweb-cloudblog-publish/original_images/GCP977-Miinto_v02.gif 648w"," 324px, 648px","http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/original_images/GCP977-Miinto_v02.gif"],null,5,null,"http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/ai-machine-learning/improved-customer-experiences-with-google-cloud-vertex-ai-vision",null,1,[["Marek Brach \u0026 Natalia Telechowska ","Miinto"],["Anant Nawalgaria","Sr. Staff ML eng., Google Cloud"]]],["Data Analytics","How TEKsystems Global Services is helping retail brands break down data silos through platform modernization","Google Cloud tools like BigQuery, BigLake, and Dataplex give retail brands faster analytics, reduced total cost of ownership and lower maintenance.",["http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/DO_NOT_USE_CUxs9oC.max-700x700.jpg","http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/DO_NOT_USE_CUxs9oC.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/DO_NOT_USE_CUxs9oC.max-700x700.jpg 648w"," 324px, 648px","http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/DO_NOT_USE_CUxs9oC.max-700x700.jpg"],null,5,null,"http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/data-analytics/teksystems-global-services-on-how-retail-brands-can-use-google-cloud-data-tools",null,1,[["Mohamed Barry","Data Analytics Partner Engineer, Google"],["Pradipta Dhar","Technical Lead - GCP Practice, TEKsystems Global Services"]]],["Data Analytics","Reshaping Flipkart’s technological landscape with a mammoth cloud migration","Flipkart underwent a full-scale migration to cloud to future proof its ecommerce platform.",["http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/DO_NOT_USE_CUxs9oC.max-700x700.jpg","http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/DO_NOT_USE_CUxs9oC.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/DO_NOT_USE_CUxs9oC.max-700x700.jpg 648w"," 324px, 648px","http://web.archive.org/web/20240116232707/https://storage.googleapis.com/gweb-cloudblog-publish/images/DO_NOT_USE_CUxs9oC.max-700x700.jpg"],null,4,null,"http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/data-analytics/flipkarts-dx-journey-to-futureproof-its-platform",null,1,[["Savitha Sethuram","AI Manager, Google Cloud"],["Sudhir Reddy","Senior Principal Architect, Flipkart"]]]],null,"Retail",null,[["Retail","http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/topics/retail","retail"],["SAP on Google Cloud","http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/sap-google-cloud","sap-on-google-cloud"],["AI \u0026 Machine Learning","http://web.archive.org/web/20240116232707/https://cloud.google.com/blog/products/ai-machine-learning","ai-machine-learning"]],null,null,5], sideChannel: {}});</script><script id="wiz_jd" nonce="Lo39LSkHMdpAPSk0hG04nA">if (window['_wjdc']) {const wjd = {}; window['_wjdc'](wjd); delete window['_wjdc'];}</script><script aria-hidden="true" id="WIZ-footer" nonce="Lo39LSkHMdpAPSk0hG04nA">window.wiz_progress&&window.wiz_progress(); window.stopScanForCss&&window.stopScanForCss(); ccTick('bl');</script></body></html><footer id="ZCHFDb"><footer class="nRhiJb-RWrDld nRhiJb-yePe5c QJnbF" jscontroller="NsSboe" track-metadata-module="footer"><h3 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