<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[DreaCodes]]></title><description><![CDATA[DreaCodes]]></description><link>https://www.dreacodes.com/blog</link><generator>RSS for Node</generator><lastBuildDate>Sat, 05 Sep 2026 23:44:42 GMT</lastBuildDate><atom:link href="https://www.dreacodes.com/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Launching a Premium Wellness Brand on Wayfair: From Shopify Integration to $7K+ in Sales]]></title><description><![CDATA[I led a  a major lifestyle brand's expansion onto Wayfair, coordinating catalog development, product listings, fulfillment requirements, test orders, and launch validation. The new marketplace channel generated organic visibility without paid advertising.]]></description><link>https://www.dreacodes.com/post/launching-redwood-outdoors-on-wayfair-from-marketplace-setup-to-7k-in-sales</link><guid isPermaLink="false">6a71b63174653e170f8dee4e</guid><category><![CDATA[Marketplaces]]></category><pubDate>Tue, 04 Aug 2026 10:03:17 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/ed3f2d_7cd34e770b064f90b13ee7d78d50f799~mv2.jpg/v1/fit/w_926,h_615,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Andrea KTNS</dc:creator></item><item><title><![CDATA[Transforming Fragmented Ad Data into an Automated Paid Media BI ]]></title><description><![CDATA[I designed and implemented an automated paid media reporting system that unified Meta Ads, Google Ads, Microsoft Advertising, GA4, and budget data in BigQuery and Power BI. Explore the cloud architecture, data modeling, automation, validation, and dashboard design behind the project]]></description><link>https://www.dreacodes.com/post/transforming-fragmented-ad-data-into-an-automated-paid-media-reporting-bi</link><guid isPermaLink="false">6a715606d9c2f27b9b13d86b</guid><category><![CDATA[Business Intelligence Projects]]></category><pubDate>Tue, 04 Aug 2026 03:41:31 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/69a3b50b52364760a3f976de92a803d1.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Andrea KTNS</dc:creator></item><item><title><![CDATA[Scaling Customer Support with Zendesk AI and Intelligent Automation]]></title><description><![CDATA[How I Led Zendesk AI Adoption for Customer Support Operations Customer support teams often spend significant time resolving repetitive requests, manually routing tickets, and searching for information across disconnected systems. To address these inefficiencies, I led the adoption and optimization of Zendesk AI—transforming our support operations into a scalable, intelligent system that combined automation, streamlined workflows, and performance analytics. By integrating AI-driven insights...]]></description><link>https://www.dreacodes.com/post/scaling-customer-support-with-zendesk-ai-and-intelligent-automation</link><guid isPermaLink="false">6a710ec3db6c19f1c2b9de53</guid><category><![CDATA[AI Adoption Projects]]></category><category><![CDATA[Zendesk AI]]></category><pubDate>Mon, 03 Aug 2026 22:37:09 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/ed3f2d_057ed61324e7440bb495af87e4a5798f~mv2.jpg/v1/fit/w_1000,h_768,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Andrea KTNS</dc:creator></item></channel></rss>