{"id":558565,"date":"2026-09-18T09:46:55","date_gmt":"2026-09-18T09:46:55","guid":{"rendered":"https:\/\/webkul.com\/blog\/?p=558565"},"modified":"2026-10-15T14:49:00","modified_gmt":"2026-10-15T14:49:00","slug":"ai-product-recommendation-for-bagisto-complete-user-guide","status":"publish","type":"post","link":"https:\/\/webkul.com\/blog\/ai-product-recommendation-for-bagisto-complete-user-guide\/","title":{"rendered":"AI Product Recommendation for Bagisto: Complete User Guide"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1672\" height=\"941\" src=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/featuredimage-2.webp\" alt=\"Bagisto AI Product Recommendation extension\" class=\"wp-image-558609\" srcset=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/featuredimage-2.webp 1672w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/featuredimage-2-300x169.webp 300w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/featuredimage-2-1200x675.webp 1200w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/featuredimage-2-250x141.webp 250w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/featuredimage-2-768x432.webp 768w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/featuredimage-2-1536x864.webp 1536w\" sizes=\"(max-width: 1672px) 100vw, 1672px\" loading=\"lazy\" \/><\/figure>\n\n\n\n<p>The <strong>Bagisto AI Product Recommendation<\/strong> extension keeps customers browsing. Showing the right items at the right time also keeps them buying.<\/p>\n\n\n\n<p>Customers often leave a store when they cannot find what they want. This extension fixes that. It uses AI to learn about each product. Then it suggests similar ones on every product page.<\/p>\n\n\n\n<p>Old related products need manual links. This extension uses AI embeddings. So it finds products with a close meaning.<\/p>\n\n\n\n<p>For example, a customer who views a waterproof hiking boot sees outdoor gear and trail items. You never link them by hand.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Complete Features List<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AI picks<\/strong> &#8211; The extension finds similar products with AI.<\/li>\n\n\n\n<li><strong>Two vector drivers<\/strong> &#8211; The admin keeps embeddings in Elasticsearch or MariaDB.<\/li>\n\n\n\n<li><strong>Text fallback<\/strong> &#8211; The page still shows picks when AI data is missing.<\/li>\n\n\n\n<li><strong>Native carousel<\/strong> &#8211; The extension uses the Bagisto product carousel, so it blends in.<\/li>\n\n\n\n<li><strong>All visitors<\/strong> &#8211; Guests and logged-in customers both see the picks.<\/li>\n\n\n\n<li><strong>Auto re-indexing<\/strong> &#8211; The index updates when a product changes, and a deleted product leaves it.<\/li>\n\n\n\n<li><strong>All product types<\/strong> &#8211; Simple, virtual, configurable, grouped, bundle, downloadable, and booking products all work.<\/li>\n\n\n\n<li><strong>Admin control<\/strong> &#8211; The admin sets everything in the panel, with no code.<\/li>\n\n\n\n<li><strong>Any database<\/strong> &#8211; Bagisto can run on MySQL, MariaDB, or PostgreSQL, with or without a table prefix.<\/li>\n\n\n\n<li><strong>22 languages<\/strong> &#8211; Every label comes in all Bagisto languages.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Prerequisites<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Bagisto<\/strong>: v2.5.0<\/li>\n\n\n\n<li><strong>PHP<\/strong>: 8.4 or later<\/li>\n\n\n\n<li><strong>Database<\/strong>: MySQL, MariaDB, or PostgreSQL<\/li>\n\n\n\n<li><strong>Vector driver<\/strong>: Elasticsearch 8.x, or MariaDB 11.7 or newer (with the <code>VECTOR<\/code> column type)<\/li>\n\n\n\n<li><strong>MagicAI<\/strong>: installed, with at least one AI provider API key<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Vector Driver Setup<\/h2>\n\n\n\n<p>First, install <a href=\"https:\/\/www.elastic.co\/guide\/en\/elasticsearch\/reference\/current\/install-elasticsearch.html\">Elasticsearch<\/a> and add its details to the <strong>.env<\/strong> file.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\">ELASTICSEARCH_HOST=your-url:9200\nELASTICSEARCH_USER=\nELASTICSEARCH_PASS=<\/pre>\n\n\n\n<p>For API key authentication, use these lines instead.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\">ELASTICSEARCH_HOST=your-url:9200\nELASTICSEARCH_API_KEY=your-api-key<\/pre>\n\n\n\n<p>For Elastic Cloud, use these lines.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\">ELASTICSEARCH_CLOUD_ID=your-cloud-id\nELASTICSEARCH_API_KEY=your-api-key<\/pre>\n\n\n\n<p>Next, set up the MariaDB driver only if you want it. It needs MariaDB 11.7 or newer.<\/p>\n\n\n\n<p>This works when Bagisto runs on MySQL or PostgreSQL too. The vectors then live on a separate MariaDB server.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\">AI_RECOMMENDATION_MARIADB_CONNECTION=mariadb\nAI_RECOMMENDATION_MARIADB_HOST=\nAI_RECOMMENDATION_MARIADB_PORT=\nAI_RECOMMENDATION_MARIADB_DATABASE=\nAI_RECOMMENDATION_MARIADB_USERNAME=\nAI_RECOMMENDATION_MARIADB_PASSWORD=<\/pre>\n\n\n\n<p>Without a MariaDB 11.7 connection, that driver stops with a clear message. So keep Elasticsearch in that case.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI Product Recommendation Installation<\/h2>\n\n\n\n<p>You install it like any other Bagisto extension.<\/p>\n\n\n\n<p>First, unzip the extension. Merge the <strong>packages\/Webkul<\/strong> folder into your project root.<\/p>\n\n\n\n<p>Next, open <strong>composer.json<\/strong> and add this line under &#8216;<strong>psr-4<\/strong>&#8216;.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\">&quot;Webkul\\\\AIRecommendation\\\\&quot;: &quot;packages\/Webkul\/AIRecommendation\/src&quot;<\/pre>\n\n\n\n<p>Then refresh autoload.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\">composer dump-autoload<\/pre>\n\n\n\n<p>After that, open <strong>bootstrap\/providers.php<\/strong> and add this line under <strong>Provider<\/strong>:<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\">Webkul\\AIRecommendation\\Providers\\AIRecommendationServiceProvider::class,<\/pre>\n\n\n\n<p>Also clear the caches.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\">php artisan optimize:clear<\/pre>\n\n\n\n<p>Finally, index your products. Use <strong>elasticsearch<\/strong>, <strong>mariadb<\/strong>, or <strong>both<\/strong> as the driver name.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\">php artisan ai-recommendation:index --driver=your-driver-name<\/pre>\n\n\n\n<p>Also add the fresh option to rebuild the index, for example after you change the AI model.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\">php artisan ai-recommendation:index --driver=your-driver-name --fresh<\/pre>\n\n\n\n<p>It has no migration. The MariaDB driver makes its own table on the first index run.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Admin Configuration<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">AI Provider Setup<\/h3>\n\n\n\n<p>This extension uses the Laravel AI SDK through the MagicAI package.<\/p>\n\n\n\n<p>So it supports many AI providers, including OpenAI, Anthropic, Gemini, and Mistral.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Configure API Keys<\/h3>\n\n\n\n<p>First, go to <strong>Configuration&gt;Magic AI&gt;Providers<\/strong>.<\/p>\n\n\n\n<p>Then enter the API key for your provider. Click <strong>Save Configuration<\/strong>.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1120\" height=\"880\" src=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/providers.webp\" alt=\"Magic AI Providers settings for Bagisto AI Product Recommendation\" class=\"wp-image-557496\" srcset=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/providers.webp 1120w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/providers-300x236.webp 300w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/providers-250x196.webp 250w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/providers-768x603.webp 768w\" sizes=\"(max-width: 1120px) 100vw, 1120px\" loading=\"lazy\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">AI Product Recommendation Configuration<\/h3>\n\n\n\n<p>Next, the admin goes to <strong>Configuration&gt;AI Product Recommendation&gt;General<\/strong>.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1120\" height=\"880\" src=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/aiproductrecommendation.webp\" alt=\"Bagisto AI Product Recommendation configuration in the admin panel\" class=\"wp-image-558571\" srcset=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/aiproductrecommendation.webp 1120w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/aiproductrecommendation-300x236.webp 300w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/aiproductrecommendation-250x196.webp 250w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/aiproductrecommendation-768x603.webp 768w\" sizes=\"(max-width: 1120px) 100vw, 1120px\" loading=\"lazy\" \/><\/figure>\n\n\n\n<p><strong>Status<\/strong> &#8211; When on, the carousel shows on every product page. When off, the store stays as it is.<\/p>\n\n\n\n<p><strong>Vector Driver<\/strong> &#8211; Pick where the embeddings live: Elasticsearch or MariaDB. Index your products into that driver first.<\/p>\n\n\n\n<p><strong>AI Model<\/strong> &#8211; Choose the AI model that makes the embeddings. If you leave it empty, the extension uses the MagicAI default.<\/p>\n\n\n\n<p><strong>Number of Recommendations<\/strong> &#8211; This sets how many products the carousel shows, from 1 to 20.<\/p>\n\n\n\n<p><strong>Minimum Similarity Score<\/strong> &#8211; The extension hides products that score below this value.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A lower value, such as 0.2, shows more results but some may be less relevant.<\/li>\n\n\n\n<li>A higher value, such as 0.7, shows fewer results with more precise matching.<\/li>\n\n\n\n<li>The field takes one decimal place, so 0.7 works and 0.65 does not.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Section Title<\/h3>\n\n\n\n<p>In the <strong>Display<\/strong> section, the admin sets a heading for the carousel. If it is empty, the heading reads AI Recommended Products.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Customer Front End Panel<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Product Page<\/h3>\n\n\n\n<p>A customer opens a product. A carousel of picks then shows below the product description.<\/p>\n\n\n\n<p>It loads with the Related Products and Up-Sell Products carousels when the customer scrolls there.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"841\" height=\"659\" src=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/storefrontairecommendation.webp\" alt=\"Bagisto AI Product Recommendation carousel on the product page\" class=\"wp-image-558572\" srcset=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/storefrontairecommendation.webp 841w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/storefrontairecommendation-300x235.webp 300w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/storefrontairecommendation-250x196.webp 250w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2026\/09\/storefrontairecommendation-768x602.webp 768w\" sizes=\"(max-width: 841px) 100vw, 841px\" loading=\"lazy\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Support<\/h2>\n\n\n\n<p>So, that was the user guide of the <strong>Bagisto AI Product Recommendation<\/strong> extension. For any doubts, write to us at <strong><a href=\"mailto:support@webkul.com\" target=\"_blank\" rel=\"noreferrer noopener\">support@webkul.com<\/a>.<\/strong><\/p>\n\n\n\n<p>You can also raise a ticket at our <a href=\"https:\/\/bagisto.uvdesk.com\/en\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>HelpDesk System.<\/strong><\/a><\/p>\n\n\n\n<p>Please see our <strong><a href=\"https:\/\/webkul.com\/laravel-development\/\">Laravel Development Services<\/a><\/strong> and quality <a href=\"https:\/\/bagisto.com\/en\/extensions\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Bagisto Extensions<\/strong>.<\/a><\/p>\n\n","protected":false},"excerpt":{"rendered":"<p>The Bagisto AI Product Recommendation extension keeps customers browsing. Showing the right items at the right time also keeps them buying. Customers often leave a store when they cannot find what they want. This extension fixes that. It uses AI to learn about each product. Then it suggests similar ones on every product page. Old <a href=\"https:\/\/webkul.com\/blog\/ai-product-recommendation-for-bagisto-complete-user-guide\/\">[&#8230;]<\/a><\/p>\n","protected":false},"author":800,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8396,2047,1],"tags":[13608,8055,74,6232,6841,15665,590],"class_list":["post-558565","post","type-post","status-publish","format-standard","hentry","category-bagisto","category-ecommerce-tips","category-uncategorized","tag-ai","tag-bagisto","tag-ecommerce","tag-elastic-indexes","tag-elasticsearch","tag-recommendation-system","tag-webkul"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Product Recommendation for Bagisto: Complete User Guide - Webkul Blog<\/title>\n<meta name=\"description\" content=\"Boost sales with AI-powered product recommendations for Bagisto. 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