{"id":29484,"date":"2026-01-26T11:58:54","date_gmt":"2026-01-26T19:58:54","guid":{"rendered":"https:\/\/www.intentwise.com\/blog\/?p=29484"},"modified":"2026-01-27T06:06:06","modified_gmt":"2026-01-27T14:06:06","slug":"the-changing-amazon-data-stack-for-2026","status":"publish","type":"post","link":"https:\/\/www.intentwise.com\/blog\/amazon-ai\/the-changing-amazon-data-stack-for-2026\/","title":{"rendered":"The changing Amazon data stack\u00a0for 2026","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"\n<p>In just a few years, the typical data stack for Amazon and Walmart has undergone a total cosmetic transformation.<\/p>\n\n\n\n<p>Old-school reporting tools are now being replaced by AI development tools, and typical static dashboards are giving way to interactive, actionable apps.<\/p>\n\n\n\n<p>Soon, sophisticated brands and agencies will even be able to automate the troubleshooting and auditing process.&nbsp;<\/p>\n\n\n\n<p>So what\u2019s changing in the data stack? And what does it all mean for businesses like yours?<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-what-was-the-old-school-data-stack\"><strong>What was the old-school data stack?<\/strong><\/h3>\n\n\n\n<p>For years, the e-commerce data stack looked relatively stable.&nbsp;&nbsp;<\/p>\n\n\n\n<p><strong>Data store<\/strong>. It started with your data store. Brands and agencies needed some way to pull in their data from Amazon and Walmart, and sort it all according to their granular needs (like by sub-brands or brand vs. non-brand).<\/p>\n\n\n\n<p><strong>Reporting tools. <\/strong>That data then flowed into a set of reporting tools that allowed you to quickly visualize your performance on monthly and year bases.<\/p>\n\n\n\n<p><strong>Dashboards.<\/strong> The data also trickled into real-time dashboards that helped your teams to track performance hour by hour, and make interventions when there\u2019s a downswing.<\/p>\n\n\n\n<p><strong>Domain expertise.<\/strong> On top of that stack, of course, was the expertise that you and your team bring to the table.&nbsp;<\/p>\n\n\n\n<p>Let\u2019s say a product\u2019s revenue dips\u2014it\u2019s your team that is poring over the dashboards and parsing through what went wrong, and what to do about it.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-what-were-the-gaps-in-the-old-reporting-stack-nbsp\"><strong>What were the gaps in the old reporting stack?&nbsp;<\/strong><\/h3>\n\n\n\n<p>The old-school reporting system was always too unwieldy to manage entirely in-house.&nbsp;<\/p>\n\n\n\n<p>That\u2019s why brands and agencies have long used third-party partners like Intentwise to assist with their data stores. A good partner builds and maintains data pipes that collect and harmonize your data.<\/p>\n\n\n\n<p>Similarly, many solutions providers popped up to assist with reporting and dashboarding.&nbsp;<\/p>\n\n\n\n<p>But there were still missing pieces. Think of dashboards, for instance: third-party providers have historically focused on building the same package of dashboards to everyone, rather than the customized views that brands and agencies need.<\/p>\n\n\n\n<p>Rarely still do we run into brands and agencies who feel they have every view of performance they could want.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-meet-the-new-amazon-data-stack\"><strong>Meet the new Amazon data stack<\/strong><\/h3>\n\n\n\n<p>Here\u2019s a glimpse at the new data stack, supercharged for an era of AI and faster analytics.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"893\" src=\"https:\/\/www.intentwise.com\/blog\/wp-content\/uploads\/2026\/01\/image-1-1024x893.png\" alt=\"\" class=\"wp-image-29486\" srcset=\"https:\/\/www.intentwise.com\/blog\/wp-content\/uploads\/2026\/01\/image-1-1024x893.png 1024w, https:\/\/www.intentwise.com\/blog\/wp-content\/uploads\/2026\/01\/image-1-300x262.png 300w, https:\/\/www.intentwise.com\/blog\/wp-content\/uploads\/2026\/01\/image-1-768x669.png 768w, https:\/\/www.intentwise.com\/blog\/wp-content\/uploads\/2026\/01\/image-1-560x488.png 560w, https:\/\/www.intentwise.com\/blog\/wp-content\/uploads\/2026\/01\/image-1.png 1528w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>As you can see, while the fundamental importance of a data store to ingest and sort your data remains, many brands and agencies are eschewing the old-school third-party reporting tools.<\/p>\n\n\n\n<p>Instead, they are replacing reporting tools with an AI and LLM-based analytic layer that can flag month-to-month or year-to-year changes for them.<\/p>\n\n\n\n<p>At the same time, smart brands and agencies are phasing out static dashboards that just show them raw performance. Instead, they\u2019re embracing actionable, collaborative applicants that actually let you take action based on the data you\u2019re seeing.&nbsp;<\/p>\n\n\n\n<p>No more clicking around\u2014now dashboards are a source of analysis <em>and<\/em> action.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-what-s-coming-next-for-the-amazon-data-stack\"><strong>What\u2019s coming next for the Amazon data stack?<\/strong><\/h3>\n\n\n\n<p>In the next 6-9 months, we expect another fundamental shift in the typical data stack.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"576\" data-src=\"https:\/\/www.intentwise.com\/blog\/wp-content\/uploads\/2026\/01\/image-1024x576.jpeg\" alt=\"\" class=\"wp-image-29485 lazyload\" data-srcset=\"https:\/\/www.intentwise.com\/blog\/wp-content\/uploads\/2026\/01\/image-1024x576.jpeg 1024w, https:\/\/www.intentwise.com\/blog\/wp-content\/uploads\/2026\/01\/image-300x169.jpeg 300w, https:\/\/www.intentwise.com\/blog\/wp-content\/uploads\/2026\/01\/image-768x432.jpeg 768w, https:\/\/www.intentwise.com\/blog\/wp-content\/uploads\/2026\/01\/image-1536x864.jpeg 1536w, https:\/\/www.intentwise.com\/blog\/wp-content\/uploads\/2026\/01\/image-560x315.jpeg 560w, https:\/\/www.intentwise.com\/blog\/wp-content\/uploads\/2026\/01\/image.jpeg 2048w\" data-sizes=\"(max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/576;\" \/><\/figure>\n\n\n\n<p>As you can see, you\u2019re still going to need a high-quality data store, but now it\u2019s going to be equipped with an even stronger knowledge layer.&nbsp;<\/p>\n\n\n\n<p>You\u2019ll be able to sort the data coming in from Amazon and Walmart even more granularly than before, ingesting all of your custom product and media taxonomies instantly.&nbsp;<\/p>\n\n\n\n<p>On top of that, you\u2019ll be able to cut your analytics time by outsourcing some of the work to AI agents that can answer many of your analysis questions.<\/p>\n\n\n\n<p>Next time your revenue drops, rather than poring over dashboards to assess the problem, you\u2019ll be able to ask your AI agent what went wrong. The system might flag a price change or a loss of Buy Box, or an ad campaign that has stopped generating the same returns.<\/p>\n\n\n\n<p>Going forward, all of your expertise can be embedded into these types of automated systems. You can say, \u201cGo run me an audit of this account,\u201d or \u201cResearch this product and tell me what went wrong,\u201d and your software solution will be able to isolate answers for you.<\/p>\n\n\n\n<p>You\u2019ll also be able to get much more customized interactive apps than ever before.&nbsp;<\/p>\n\n\n\n<p>Have a view of performance you\u2019re craving? Instead of just relying on the typical package of dashboards from your solution provider, you\u2019ll be able to request your own unique views, and get them built and maintained far more easily than ever before.<\/p>\n\n\n\n<p>Intentwise already does this\u2014our <a href=\"https:\/\/www.intentwise.com\/services\/intentwise-analytics-services\">Analytics Services<\/a> team regularly builds custom views for our clients, including omni-channel performance, customer LTV for deal vs. non-deal customers, and much more.<\/p>\n\n\n\n<p>So as a brand and agency, what can you do right now to prepare for the new data stack?&nbsp;<\/p>\n\n\n\n<p>First, remember that, in the AI era, the quality of your data outputs is only as good as the quality of your inputs.&nbsp;<\/p>\n\n\n\n<p>Be sure you own your data, and also that you have data sets that are rich, connected, and enriched according to your needs.&nbsp;<\/p>\n\n\n\n<p>And to prepare for a moment when AI can automate your analytics procedure, begin by documenting your process in depth. Capture the mental analysis trees that you and your teams are executing into a document.&nbsp;<\/p>\n\n\n\n<p>This will then become the inputs into an AI system that allows you to automate your process when the time comes.<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>In just a few years, the typical data stack for Amazon and Walmart has undergone a total cosmetic transformation. Old-school reporting tools are now being replaced by AI development tools, and typical static dashboards are giving way to interactive, actionable apps. Soon, sophisticated brands and agencies will even be able to automate the troubleshooting and [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":22,"featured_media":29488,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","cybocfi_hide_featured_image":"","footnotes":""},"categories":[245],"tags":[96,155],"class_list":["post-29484","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-amazon-ai","tag-mobile","tag-newsletter"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.4 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>The changing Amazon data stack\u00a0for 2026<\/title>\n<meta name=\"description\" content=\"The ideal Amazon data stack is changing quickly. 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