{"id":27993,"date":"2024-10-04T10:52:01","date_gmt":"2024-10-04T08:52:01","guid":{"rendered":"https:\/\/wordlift.io\/blog\/en\/?p=27993"},"modified":"2024-10-07T11:07:19","modified_gmt":"2024-10-07T09:07:19","slug":"etilikas-ai-sommelier-revolutionizing-wine-pairing-with-knowledge-graphs","status":"publish","type":"post","link":"https:\/\/wordlift.io\/blog\/en\/etilikas-ai-sommelier-revolutionizing-wine-pairing-with-knowledge-graphs\/","title":{"rendered":"Etilika&#8217;s AI Sommelier: Revolutionizing Wine Pairing with Knowledge Graphs"},"content":{"rendered":"<div class=\"summary bg-primary-subdued\">\n  <div class=\"chip btn-bg-primary-subdued text-primary\" \n    >\n\n  Etilika&#8217;s AI Wine Sommelier\n  <\/div>\n\n  <div class=\"summary-text summary-text-blog\">\n    Etilika&#039;s AI Sommelier not only transformed the user experience but also delivered significant business results. Clicks surged by 22.13% in just one month (April-May 2024), with sustained growth continuing as clicks rose an additional 7.23% through August. Optimized data also boosted visibility on Google Merchant Listings, unlocking new traffic streams via the Product Knowledge Panel and Google Shopping.\n  <\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Introduction<\/h2>\n\n\n\n<p><a href=\"https:\/\/www.etilika.it\/\">Etilika<\/a> is an online platform offering a wide selection of Italian wines, champagne, and spirits. Focusing on quality labels, it provides a convenient way for wine enthusiasts across the country to explore and purchase a variety of premium beverages from Italy&#8217;s rich wine-making tradition.<\/p>\n\n\n\n<p>We started <strong>an innovative journey together to enhance their <a class=\"wl-entity-page-link\" title=\"UX\" href=\"https:\/\/wordlift.io\/blog\/en\/entity\/user-experience\/\" data-id=\"http:\/\/data.wordlift.io\/wl0216\/entity\/user_experience;http:\/\/yago-knowledge.org\/resource\/User_experience;http:\/\/dbpedia.org\/resource\/User_experience;http:\/\/no.dbpedia.org\/resource\/Brukeropplevelse;http:\/\/de.dbpedia.org\/resource\/User_Experience;http:\/\/en.dbpedia.org\/resource\/User_experience;http:\/\/it.dbpedia.org\/resource\/User_Experience;http:\/\/es.dbpedia.org\/resource\/Experiencia_de_usuario;http:\/\/et.dbpedia.org\/resource\/Kasutajakogemus;http:\/\/id.dbpedia.org\/resource\/Pengalaman_pengguna;http:\/\/pl.dbpedia.org\/resource\/User_experience;http:\/\/da.dbpedia.org\/resource\/Brugeroplevelse;http:\/\/data.wordlift.io\/wl0216\/entity\/user_experience\" >user experience<\/a><\/strong> by developing an internal search tool that allows users to search for wines through food pairings.&nbsp;<\/p>\n\n\n\n<p>This initiative led to the development of the<strong> <a class=\"wl-entity-page-link\" title=\"Artificial intelligence\" href=\"https:\/\/wordlift.io\/blog\/en\/entity\/artificial-intelligence\/\" data-id=\"http:\/\/data.wordlift.io\/wl0216\/entity\/artificial_intelligence;http:\/\/rdf.freebase.com\/ns\/m.0mkz;http:\/\/dbpedia.org\/resource\/Artificial_intelligence;http:\/\/data.wordlift.io\/wl0216\/entity\/artificial_intelligence_2;http:\/\/data.wordlift.io\/wl0216\/entity\/artificial_intelligence;http:\/\/data.wordlift.io\/wl0216\/entity\/artificial_intelligence_2;http:\/\/pt.dbpedia.org\/resource\/Intelig\u00eancia_artificial;http:\/\/hr.dbpedia.org\/resource\/Umjetna_inteligencija;http:\/\/hu.dbpedia.org\/resource\/Mesters\u00e9ges_intelligencia;http:\/\/id.dbpedia.org\/resource\/Kecerdasan_buatan;http:\/\/is.dbpedia.org\/resource\/Gervigreind;http:\/\/it.dbpedia.org\/resource\/Intelligenza_artificiale;http:\/\/ro.dbpedia.org\/resource\/Inteligen\u021b\u0103_artificial\u0103;http:\/\/be.dbpedia.org\/resource\/\u0428\u0442\u0443\u0447\u043d\u044b_\u0456\u043d\u0442\u044d\u043b\u0435\u043a\u0442;http:\/\/ru.dbpedia.org\/resource\/\u0418\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439_\u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442;http:\/\/bg.dbpedia.org\/resource\/\u0418\u0437\u043a\u0443\u0441\u0442\u0432\u0435\u043d_\u0438\u043d\u0442\u0435\u043b\u0435\u043a\u0442;http:\/\/sk.dbpedia.org\/resource\/Umel\u00e1_inteligencia;http:\/\/sl.dbpedia.org\/resource\/Umetna_inteligenca;http:\/\/ca.dbpedia.org\/resource\/Intel\u00b7lig\u00e8ncia_artificial;http:\/\/sq.dbpedia.org\/resource\/Inteligjenca_artificiale;http:\/\/sr.dbpedia.org\/resource\/\u0412\u0458\u0435\u0448\u0442\u0430\u0447\u043a\u0430_\u0438\u043d\u0442\u0435\u043b\u0438\u0433\u0435\u043d\u0446\u0438\u0458\u0430;http:\/\/sv.dbpedia.org\/resource\/Artificiell_intelligens;http:\/\/cs.dbpedia.org\/resource\/Um\u011bl\u00e1_inteligence;http:\/\/da.dbpedia.org\/resource\/Kunstig_intelligens;http:\/\/tr.dbpedia.org\/resource\/Yapay_zek\u00e2;http:\/\/de.dbpedia.org\/resource\/K\u00fcnstliche_Intelligenz;http:\/\/lt.dbpedia.org\/resource\/Dirbtinis_intelektas;http:\/\/lv.dbpedia.org\/resource\/M\u0101ksl\u012bgais_intelekts;http:\/\/uk.dbpedia.org\/resource\/\u0428\u0442\u0443\u0447\u043d\u0438\u0439_\u0456\u043d\u0442\u0435\u043b\u0435\u043a\u0442;http:\/\/en.dbpedia.org\/resource\/Artificial_intelligence;http:\/\/es.dbpedia.org\/resource\/Inteligencia_artificial;http:\/\/et.dbpedia.org\/resource\/Tehisintellekt;http:\/\/nl.dbpedia.org\/resource\/Kunstmatige_intelligentie;http:\/\/no.dbpedia.org\/resource\/Kunstig_intelligens;http:\/\/fi.dbpedia.org\/resource\/Teko\u00e4ly;http:\/\/fr.dbpedia.org\/resource\/Intelligence_artificielle;http:\/\/pl.dbpedia.org\/resource\/Sztuczna_inteligencja\" >AI<\/a> Sommelier<\/strong>, designed to enhance the customer experience by using an advanced system that organizes and connects data meaningfully<strong>.<\/strong> It builds on industry-specific knowledge to better understand wines and spirits. This setup allows the<strong> AI Sommelier to provide personalized recommendations and expert advice<\/strong>, making it easier for customers to find what they\u2019re looking for and discover new products, all based on deep insights into the sector.<\/p>\n\n\n\n<p>This case study explores <strong>the results obtained by Etilika thanks to proprietary data and <a class=\"wl-entity-page-link\" title=\"any&#039;s SEO. &gt;\" href=\"https:\/\/wordlift.io\/blog\/en\/entity\/knowledge-graph\/\" data-id=\"http:\/\/data.wordlift.io\/wl0216\/entity\/knowledge_graph;https:\/\/www.wikidata.org\/wiki\/Q33002955\" >knowledge graph<\/a><\/strong>: a new way of storing, organizing, and connecting your store products, which <strong>gives them more visibility and starts selling for free on <a class=\"wl-entity-page-link\"  href=\"https:\/\/wordlift.io\/blog\/en\/entity\/google-shopping-2\/\" data-id=\"http:\/\/data.wordlift.io\/wl0216\/entity\/google-shopping-2;http:\/\/dbpedia.org\/resource\/Google_Shopping;http:\/\/no.dbpedia.org\/resource\/Froogle;http:\/\/de.dbpedia.org\/resource\/Google_Produktsuche;http:\/\/pt.dbpedia.org\/resource\/Google_Product_Search;http:\/\/en.dbpedia.org\/resource\/Google_Shopping;http:\/\/it.dbpedia.org\/resource\/Google_Product_Search;http:\/\/fr.dbpedia.org\/resource\/Google_Shopping;http:\/\/es.dbpedia.org\/resource\/Google_Product_Search;http:\/\/id.dbpedia.org\/resource\/Google_Product_Search;http:\/\/pl.dbpedia.org\/resource\/Google_Product_Search;http:\/\/nl.dbpedia.org\/resource\/Google_Product_Search\" >Google Shopping<\/a><\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Results<\/h2>\n\n\n\n<p>The implementation of the <strong>Product Knowledge Graph<\/strong> and the optimization of Etilika&#8217;s data infrastructure brought impressive results, driving user engagement and site performance to new heights. Here&#8217;s what was achieved:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Boost in Clicks<\/strong>: Clicks increased by an impressive 22.13% from April 11 to May 6, 2024, compared to the previous period.<\/li>\n\n\n\n<li><strong>Sustained Growth<\/strong>: The momentum continued, with a further 7.23% increase in clicks from April to August 2024, highlighting long-term impact.<\/li>\n\n\n\n<li><strong>Google Merchant Success<\/strong>: Optimized data readability has begun driving traffic from Google Merchant Listings, opening new avenues through the Product Knowledge Panel and Google Shopping.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Products Performance<\/h3>\n\n\n\n<p>Comparison of the Last 3 Months of 2024 vs. the Last 3 Months of 2023:<\/p>\n\n\n\n<p><strong>40% improvement<\/strong> in <strong>average ranking<\/strong><\/p>\n\n\n\n<p>This case proves that leveraging AI and data optimization can lead to significant growth in traffic, better search rankings, and new business opportunities\u2014perfect for <a href=\"https:\/\/wordlift.io\/product-performance-solution\/\">e-commerce platforms<\/a> like Etilika looking to <strong>enhance customer engagement and sales.&nbsp;<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Objectives<\/h2>\n\n\n\n<p>Etilika chose WordLift to<strong> boost traffic <\/strong>to product pages<strong> through organic search. <\/strong>The new pages are created using Agent WordLift. The editorial team of Etilika now has an AI companion to<strong> support their SEO strategies for clustering products<\/strong> and naturally responding to ever-changing search queries.<\/p>\n\n\n\n<p>Etilika recognized the need to provide a more personalized and intelligent wine selection experience for its customers. Traditional shopping assistants lacked the depth to make nuanced recommendations, especially for food pairings. To address this, Etilika aimed to build an AI-driven solution that could tap into its extensive wine collection, offering more sophisticated and accurate suggestions.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Strategy<\/h2>\n\n\n\n<p><strong>The success of the AI Sommelier <\/strong>relies on the <a href=\"https:\/\/wordlift.io\/blog\/en\/seo-data-quality\/\">strategic use of proprietary data<\/a> and the development of a knowledge graph, made possible through <strong>WordLift&#8217;s expertise<\/strong>.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong><em>Proprietary Data:<\/em><\/strong> Etilika&#8217;s extensive wine ontology serves as the foundation for the AI Sommelier. This proprietary data includes detailed information about various wines, their characteristics, and suitable food pairings. By leveraging this data, <strong>Etilika can offer unique and highly relevant recommendations <\/strong>that generic models cannot match.<\/li>\n<\/ol>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li><strong><em>Knowledge Graph:<\/em><\/strong> a <a href=\"https:\/\/wordlift.io\/seo-for-non-wordpress-ecommerce\/\">knowledge graph<\/a> helps to organize and structure this data, making searching, discovering, and extracting insights easier. For <strong>Etilika, the knowledge graph connects wines, food types, and pairing rules, enabling the AI Sommelier to make informed and accurate recommendations<\/strong>. This interconnected data model allows the AI to understand complex queries and provide contextually appropriate responses.<\/li>\n<\/ol>\n\n\n\n<p>With this integration<strong>, Etilika has been able to create many new category pages for SEO purposes in just a few days<\/strong>. These pages are now attracting traffic from search queries that were previously overlooked, such as pairing specific wines with food.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Building a Sector-Specific Knowledge Base<\/h3>\n\n\n\n<p>Creating a sector-specific knowledge base, or ontology, is essential for training an AI model that can deliver intelligent and specialized responses.&nbsp;<\/p>\n\n\n\n<p>Etilika&#8217;s ontology includes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><em>Wine Characteristics:<\/em><\/strong> detailed attributes of wines, such as grape variety, region, flavor profile, and aging potential.<\/li>\n\n\n\n<li><strong><em>Food Types: <\/em><\/strong>various food categories, including meats, seafood, vegetables, and desserts, along with their specific characteristics.<\/li>\n\n\n\n<li><strong><em>Pairing Rules:<\/em><\/strong> guidelines and principles for pairing wines with different foods, considering factors like flavor balance, acidity, and texture.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Key Features of AI Sommelier<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong><em>Advanced Wine Pairing:<\/em><\/strong> the AI Sommelier uses a knowledge graph to relate different data points, such as wine characteristics, food types, and pairing rules, to offer precise wine recommendations.<\/li>\n\n\n\n<li><strong><em>Sector-Specific Ontology:<\/em><\/strong> by building a specialized knowledge base, or ontology, Etilika ensured that the AI Sommelier could understand and respond to queries with a level of expertise that surpasses generic models.<\/li>\n\n\n\n<li><strong><em>Enhanced User Experience: <\/em><\/strong>the AI Sommelier&#8217;s ability to provide intelligent and context-aware suggestions significantly improves the user experience, making wine selection more enjoyable and informed<\/li>\n<\/ol>\n\n\n\n<p>We&#8217;re providing access to the Etilika catalog for both Microsoft Copilot users and ChatGPT Subscribers.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img decoding=\"async\" width=\"1024\" height=\"863\" src=\"https:\/\/wordlift.io\/blog\/en\/wp-content\/uploads\/sites\/3\/2024\/10\/AI-Sommelier-Etilika-1024x863.png\" alt=\"\" class=\"wp-image-27994\" style=\"width:600px;height:auto\" srcset=\"https:\/\/wordlift.io\/blog\/en\/wp-content\/uploads\/sites\/3\/2024\/10\/AI-Sommelier-Etilika-1024x863.png 1024w, https:\/\/wordlift.io\/blog\/en\/wp-content\/uploads\/sites\/3\/2024\/10\/AI-Sommelier-Etilika-300x253.png 300w, https:\/\/wordlift.io\/blog\/en\/wp-content\/uploads\/sites\/3\/2024\/10\/AI-Sommelier-Etilika-768x647.png 768w, https:\/\/wordlift.io\/blog\/en\/wp-content\/uploads\/sites\/3\/2024\/10\/AI-Sommelier-Etilika-150x126.png 150w, https:\/\/wordlift.io\/blog\/en\/wp-content\/uploads\/sites\/3\/2024\/10\/AI-Sommelier-Etilika.png 1095w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img decoding=\"async\" width=\"376\" height=\"590\" src=\"https:\/\/wordlift.io\/blog\/en\/wp-content\/uploads\/sites\/3\/2024\/10\/Etilika_vino_fruttato.gif\" alt=\"\" class=\"wp-image-28014\"\/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p><strong>Etilika&#8217;s AI Sommelier case study is an ensign to the power of proprietary data, knowledge graphs, and sector-specific ontologies in creating intelligent and specialized AI solutions<\/strong>. By building a specific data model and a comprehensive wine anthology, we have developed <a href=\"https:\/\/wordlift.io\/blog\/en\/agentic-ai\/\">an agent that offers advanced functionalities<\/a> and responds to complex queries with expertise. The AI Sommelier not only enhances the user experience but also sets a new standard for intelligent wine selection in the e-commerce industry.<\/p>\n\n\n\n<p>An innovative approach that demonstrates <strong>the importance of investing in proprietary data and building specialized knowledge bases to train AI models<\/strong> capable of delivering superior performance and value to users. The significant improvements in user engagement and site performance underscore the effectiveness of this strategy, paving the way for future advancements in AI-driven e-commerce solutions.<\/p>\n\n\n\n<p><strong>Want to see how Wordlift can transform your business too?<\/strong> <a href=\"https:\/\/wordlift.io\/choose-your-plan\/\">Contact us today for a personalized consultation<\/a>.<\/p>\n\n\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Discover how Etilika&#8217;s AI Wine Sommelier enhances customer experience with personalized wine pairing recommendations using knowledge graphs and proprietary 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