{"id":1884,"date":"2024-08-08T03:14:42","date_gmt":"2024-08-08T03:14:42","guid":{"rendered":"https:\/\/es.notificationbutton.com\/help\/index.php\/es\/automatiza-tu-tienda\/inteligencia-artificial\/como-configurar-ia\/"},"modified":"2026-04-30T03:02:05","modified_gmt":"2026-04-30T03:02:05","slug":"predictive-cortex-infrastructure-implementation-guide","status":"publish","type":"docs","link":"https:\/\/icortex.ai\/help\/lifecycle-strategies-4556\/predictive-cortex-infrastructure-implementation-guide\/","title":{"rendered":"Predictive Cortex\u2122 Infrastructure Implementation Guide"},"content":{"rendered":"\n

Proper parameterization of the Artificial Intelligence engine is fundamental to ensuring that your store’s automation operates under high-efficiency and relevance standards. This module allows large organizations to delegate tactical decision-making<\/strong> to a predictive engine capable of processing massive volumes of data to optimize conversion.<\/p>\n\n\n\n

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Accessing the iCortex AI Configuration Panel<\/h2>\n\n\n\n

The platform centralizes intelligence management in a specific advanced automation module. To begin the technical configuration process:<\/p>\n\n\n\n

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  1. Navigation:<\/strong> Go to the side menu and access the Predictive Cortex\u2122<\/strong> section.<\/li>\n<\/ol>\n\n\n\n
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    How Predictive Cortex\u2122 is Deployed<\/h2>\n\n\n\n
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    Predictive Cortex\u2122<\/strong> functions as the system’s decision layer. It identifies which specific products will trigger a purchase<\/strong> for each individual customer, analyzing deep behavioral patterns to predict intent before abandonment occurs.<\/p>\n\n\n\n

    To perform accurate predictions, Predictive Cortex\u2122<\/strong> renders interaction data<\/strong> with all previous contact nodes (Campaign Orchestration, Engagement Flows, Brand Recall, etc.) and the user’s real-time browsing activity across all sections and pages visited.<\/p>\n\n\n\n

    Based on this predictive data, Predictive Cortex\u2122<\/strong> can schedule precise, hyper-segmented messages to the user, incentivizing purchase intent or performing Revenue Recovery<\/strong> if the customer shows patterns of indecision regarding finalizing their payment.<\/p>\n\n\n\n

    <\/div>\n\n\n\n

    Asset Creation Mode<\/h2>\n\n\n\n

    Lifestyle Engine\u2122<\/h3>\n\n\n\n

    By activating Lifestyle Engine\u2122, the system will include hyper-realistic lifestyle images, transforming your catalog products into high-impact, persuasive scenes to stimulate purchase intent.<\/p>\n\n\n\n

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    iCortex\u2122 AI Stylizer<\/h3>\n\n\n\n

    While Lifestyle Engine\u2122 acts as your creative producer, iCortex\u2122 AI Stylizer acts as your personalized copywriter<\/strong> to describe your products and positively persuade your customers.<\/p>\n\n\n\n

    You can choose between 3 different writing tones<\/strong>:<\/p>\n\n\n\n

    1 – Professional (High-value services and products)<\/p>\n\n\n\n

    2 – Friendly (Connection and customer loyalty)<\/p>\n\n\n\n

    3 – Persuasive (Impulse purchases and immediate action)<\/p>\n\n\n\n

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    Orchestration Nodes<\/h2>\n\n\n\n
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    iCortex\u2122 Smart Routing is the engine that uses Predictive Cortex\u2122 to analyze behavioral patterns, content, and urgency, determining the most effective output node<\/strong> for each send (email or push), optimizing impact and avoiding customer saturation due to message fatigue.

    By using intelligent message routing, the probability of message opens and clicks increases, achieving better results while protecting the user experience<\/strong> and your brand image.<\/p>\n\n\n\n

    <\/div>\n\n\n\n

    Operational Logic and Send Frequency<\/h2>\n\n\n\n

    Unlike traditional mass-sending systems, Predictive Cortex\u2122<\/strong> operates under a dynamic relevance<\/strong> model. You can define the maximum ceiling of daily impacts per user (e.g., 5 notifications), but the system prioritizes the customer experience:<\/p>\n\n\n\n

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    • Impact Optimization:<\/strong> If the predictive engine determines that a message does not meet relevance thresholds for a specific profile, the system will automatically skip the send to protect the health of your database.<\/li>\n\n\n\n
    • Continuous Learning:<\/strong> The system calibrates frequency based on interaction rate (CTR) and real-time browsing behavior.<\/li>\n<\/ul>\n\n\n\n
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      Attention:<\/strong> Manual limits may restrict the system’s ability to intercept high-intent opportunities in real time. It is recommended to leave Autonomous AI mode enabled.<\/p>\n\n\n\n

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      Exclusion Management and Inventory Control<\/h2>\n\n\n\n

      For companies with dynamic or seasonal catalogs, it is critical to maintain strict control over which assets are promoted. The URL Exclusion<\/strong> function allows for surgical filtering of entire catalog segments:<\/p>\n\n\n\n

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      • Keyword Filters:<\/strong> By adding specific terms (e.g., “outlet”, “last-season”), the AI will automatically exclude any URL containing that pattern.<\/li>\n\n\n\n
      • Category Strategy:<\/strong> Ideal for avoiding the promotion of out-of-stock products or items from previous seasons, ensuring that visual ROI<\/strong> is concentrated on your highest-margin lines.<\/li>\n<\/ul>\n\n\n\n
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        Scalability and Data Requirements<\/h2>\n\n\n\n

        The performance of iCortex AI<\/strong> is proportional to the volume of data processed. For growing organizations, the platform offers superior optimization tiers:<\/p>\n\n\n\n

          \n
        • Performance Threshold:<\/strong> Starting at 1,000 active Profiles, the engine reaches a critical mass of data that allows for high-fidelity predictions.<\/li>\n\n\n\n
        • Enterprise Service Tiers:<\/strong> Upgrading to advanced Service Tiers is recommended to enable all predictive engine capabilities and maximize revenue recovery.<\/li>\n<\/ul>\n\n\n\n
          <\/div>\n\n\n\n

          Resource Activation and Monitoring<\/h2>\n\n\n\n

          Predictive Cortex\u2122 Status<\/h3>\n\n\n\n

          Ensure the status switch is enabled for the system to be operational. Keep in mind that system activation or interruption may take a few hours. The predictive engine needs to obtain accurate data before it begins to function.<\/p>\n\n\n\n

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          Visualization and Resources<\/h3>\n\n\n\n

          By tapping on “View Logs,” you have access to the log of the last 5 days, allowing for quality control and tracking of the system’s tactical execution. There, you will be able to visualize every message sent, images created by Lifestyle Engine\u2122, and you can even download these Lifestyle scenes to use in your catalog or communications.<\/p>\n\n\n\n

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          System Finalization and Maintenance<\/h2>\n\n\n\n

          Once technical parameterization is defined, it is essential to consolidate changes for immediate execution:<\/p>\n\n\n\n

            \n
          • Consolidation of Settings:<\/strong> Click the “Save”<\/strong> button to apply the new configuration to the iCortex AI<\/strong> infrastructure.<\/li>\n\n\n\n
          • Dynamic Scalability:<\/strong> Periodic audits of these settings are recommended as your subscriber volume and catalog complexity evolve.<\/li>\n\n\n\n
          • Predictive Adaptability:<\/strong> The AI engine will continue to refine its delivery algorithms based on real user interaction, ensuring constant optimization of operational performance.<\/li>\n<\/ul>\n\n\n\n

            With this configuration, your store now has an advanced intelligence layer ready to maximize conversion and strengthen the relationship with your audience through highly relevant communications.<\/p>\n\n\n\n

            <\/p>\n","protected":false},"excerpt":{"rendered":"

            Configure the iCortex AI infrastructure to automate tactical decision-making in your store. Learn how to manage catalog exclusions, optimize impact frequency, and enable dynamic content generation features to maximize the ROI of your omnichannel strategy.<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":4556,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","doc_tag":[151,533,531,532,66,534,535,536,537,538,539],"doc_badge":[],"class_list":["post-1884","docs","type-docs","status-publish","hentry","doc_tag-ai","doc_tag-campaign-orchestration-via-email","doc_tag-configure-predictive-cortex","doc_tag-dynamic","doc_tag-email","doc_tag-exclude","doc_tag-frequency","doc_tag-optimize","doc_tag-page","doc_tag-persuasive","doc_tag-remove","no-post-thumbnail"],"acf":[],"_links":{"self":[{"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/docs\/1884","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/types\/docs"}],"author":[{"embeddable":true,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/comments?post=1884"}],"version-history":[{"count":40,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/docs\/1884\/revisions"}],"predecessor-version":[{"id":4648,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/docs\/1884\/revisions\/4648"}],"up":[{"embeddable":true,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/docs\/4556"}],"wp:attachment":[{"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/media?parent=1884"}],"wp:term":[{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/doc_tag?post=1884"},{"taxonomy":"doc_badge","embeddable":true,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/doc_badge?post=1884"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}