{"id":146782,"date":"2025-06-03T06:00:25","date_gmt":"2025-06-03T10:00:25","guid":{"rendered":"https:\/\/www.rithum.com\/?p=146782"},"modified":"2025-06-03T12:27:56","modified_gmt":"2025-06-03T16:27:56","slug":"rithum-ai-gives-retailers-and-brands-insights","status":"publish","type":"post","link":"https:\/\/old.rithum.com\/uk\/blog\/rithum-ai-gives-retailers-and-brands-insights\/","title":{"rendered":"How Rithum\u2019s AI Gives Retailers and Brands the Insights They\u2019re Missing"},"content":{"rendered":"<p><span data-contrast=\"auto\">Retail has a daily complexity problem: too many products, too much data, and not enough insight to act fast. From overflowing inventory to mismatched product listings and product disappearing margins, operational challenges are costly and constant. <\/span><a href=\"https:\/\/www.rithum.com\/resources\/coresight-research-report\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">67% of brands cited product content optimization<\/span><\/a><span data-contrast=\"auto\"> as their top profitability challenge, due to rising customer expectations and outdated tech, according to Coresight Research. Rithum has built tools to tackle these challenges directly with AI designed to solve some of the biggest operational headaches for retailers and brands: product <a href=\"https:\/\/www.rithum.com\/uk\/blog\/3-e-commerce-trends-from-cyber-5-to-carry-into-2025\/\" target=\"_blank\" rel=\"noopener\">categorization<\/a> and profitability benchmarking.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h2><b><span data-contrast=\"auto\">Make smarter inventory decisions with Rithum AI<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Rithum\u2019s AI helps brands better understand what products to keep, adjust, or remove from inventory. Instead of trimming entire categories or gut-checking what might work by relying on outdated reports, retailers and brands can make proactive choices based on clear data patterns. <\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Rithum\u2019s AI:<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Uses a multi-language large language model (LLM) trained on commerce-specific data so it can adjust listings based on language and regional standards\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Combines AI embeddings with Rithum\u2019s AI DataCore for smarter template mapping\u00a0\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Integrates human-in-the-loop (HITL) feedback to improve accuracy over time\u00a0\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Is benchmarked across 50 channels with 70% top-five prediction accuracy<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><b><span data-contrast=\"auto\">Why it matters for retailers and brands:<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Launch faster on channels like <a href=\"https:\/\/www.zeos.eu\/our-ecosystem\/integrator\/rithum\" target=\"_blank\" rel=\"noopener\">Zalando<\/a>, <a href=\"https:\/\/www.otto.market\/en\/full-service-provider.html\" target=\"_blank\" rel=\"noopener\">OTTO<\/a>, <a href=\"https:\/\/www.rithum.com\/cn\/why-rithum\/partners\/la-redoute\/\" target=\"_blank\" rel=\"noopener\">La Redoute,<\/a> <a href=\"https:\/\/supplychain.amazon.com\/integrations\/rithum\" target=\"_blank\" rel=\"noopener\">Amazon<\/a>, <a href=\"https:\/\/marketplace.walmart.com\/solution-providers\/rithum\/\" target=\"_blank\" rel=\"noopener\">Walmart<\/a>, and <a href=\"https:\/\/www.rithum.com\/cn\/why-rithum\/partners\/google-shopping-actions-2\/\" target=\"_blank\" rel=\"noopener\">Google<\/a>\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Improve search visibility and conversions with higher listing quality\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Automatically comply with local marketplace data requirements\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Drastically reduce manual effort and errors<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><b><span data-contrast=\"auto\">Real-World Example:\u00a0<\/span><\/b><span data-contrast=\"auto\">Instead of removing an entire category because of <\/span><a href=\"https:\/\/www.rithum.com\/uk\/blog\/5-ways-brands-and-retailers-could-reduce-returns\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">returns<\/span><\/a><span data-contrast=\"auto\">, one European fashion brand used Rithum to single out just a few high-return SKUs. In another case, updated descriptions for apparel fit led to higher conversions and fewer returns.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<h2><b><span data-contrast=\"auto\">Get profitability benchmarking that goes deeper than a spreadsheet<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Even the most polished listings and inventory plans can fall short if you don\u2019t know where you\u2019re losing margin. While other tools hand you raw data, <\/span><span data-contrast=\"none\">Rithum\u2019s AI delivers granular SKU and variant-level analysis to identify underperformers, predict assortment success, and benchmark performance against peers. H<\/span><span data-contrast=\"auto\">ighlight exactly what\u2019s costing you money and see how to fix it.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Rithum\u2019s AI identifies and assesses:<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"9\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">High-return SKUs and variations (e.g. size or color mismatches)\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"9\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Root causes of returns (like fit descriptors or faulty product data)\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"9\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Future assortment recommendations using predictive modeling\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"9\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">SKU-level profitability (costs, fees, refunds, conversions)\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"9\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"auto\">Peer benchmarking based on cross-network insights<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><b><span data-contrast=\"auto\">Why it matters for retailers and brands:<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"10\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Improve margins by focusing on high-performing SKUs<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"10\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Avoid over-discounting with smarter pricing models<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"10\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Cut returns by identifying and fixing product issues<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"10\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Align teams across finance, merchandising, and operations<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><b><span data-contrast=\"auto\">Real-World Example<\/span><\/b><span data-contrast=\"auto\">: Instead of assuming jeans are being returned because of pricing or product type, one brand used Rithum AI to discover how fit descriptors, such as slim or tapered fit, were the real problem. Once added, return rates dropped and conversions increased.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">See what your data has been trying to tell you. Schedule a demo of Rithum\u2019s AI <\/span><a href=\"https:\/\/www.rithum.com\/uk\/request-a-demo\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">today<\/span><\/a><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><em><a href=\"https:\/\/uk.linkedin.com\/in\/sebastianspiegler\" target=\"_blank\" rel=\"noopener\">Sebastian Spiegler<\/a> is Senior Director, Artificial Intelligence at Rithum.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Retail has a daily complexity problem: too many products, too much data, and not enough insight to act fast. From overflowing inventory to mismatched product listings and product disappearing margins, operational challenges are costly and constant. 67% of brands cited product content optimization as their top profitability challenge, due to rising customer expectations and outdated [&hellip;]<\/p>\n","protected":false},"author":167,"featured_media":146778,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"tags":[13378,9621],"asset-type":[13745],"audience":[13408,13411],"bio":[15579],"topic":[15410],"class_list":["post-146782","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","tag-ai-uk","tag-e-commerce-uk","asset-type-blog-uk","audience-brands-suppliers-uk","audience-retailers-uk","bio-sebastian-spiegler-uk","topic-artificial-intelligence-uk"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.3.1 (Yoast SEO v27.5) - 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