Consumer packaged goods companies face mounting pressure to grow profitably while operating on razor-thin margins \u2014 and agentic AI is emerging as the tool that can close the gap between fragmented data and real-time marketing outcomes.<\/p>\n
The sector has long relied on weeks-long campaign measurement cycles, disconnected consumer data and costly physical test markets to guide brand decisions. Google Cloud LLC\u2019s Agentic Data Cloud<\/a>, unveiled at Google Cloud Next 2026, signals a shift toward giving agents the contextual intelligence needed to act on enterprise data without hindrance \u2014 and its effects are already being felt in CPG, according to Sonia Fife<\/a>\u00a0(pictured, right), global leader of consumer packaged goods, strategic industries, at Google Cloud.<\/p>\n \u201cOn the revenue side we\u2019re seeing agents really be able to drive that transformation, looking around corners to understand what trends are coming,\u201d Fife said. \u201cThen marketing is helping to take those trends \u2014 transform them into resonant concepts and campaigns.\u201d<\/p>\n Fife and Jeff Follestad<\/a> (left), senior manager of GCP partner sales at EPAM Systems Inc., spoke with theCUBE\u2019s\u00a0John Furrier<\/a>\u00a0and co-host\u00a0Alison Kosik<\/a> at Google Cloud Next<\/a>, during an exclusive broadcast on theCUBE, SiliconANGLE Media\u2019s livestreaming studio. They discussed how agentic AI is transforming CPG real-time marketing workflows, enabling media optimization and accelerating time to market through synthetic consumer data. (* Disclosure below.)<\/p>\n Agentic AI unlocks real-time marketing loops for CPG brands<\/p>\n One of the most concrete gains from agentic-powered real-time marketing in CPG is the collapse of traditional campaign measurement timelines. Historically, CPG organizations would run a campaign, then wait four to eight weeks to analyze results, adjust media mix and reallocate spend \u2014 a process that allowed markets to shift well before brands could respond, Follestad noted.<\/p>\n \u201cIn this new world, in literally near real time, that dial or that adjustment of my marketing spend assortment can be [updated],\u201d Follestad said. \u201cIf we see customer sentiment shift [or] there\u2019s some event that triggers more effectiveness on one channel than another, you can optimize that to great efficiency.\u201d<\/p>\n Agentic AI is also compressing the cost and time required to validate new product ideas. Rather than organizing physical consumer panels that can take months and significant budget to execute, brands can now deploy synthetic consumer audiences in minutes, Follestad explained. That velocity allows companies to fail fast, redirect resources and prioritize concepts with stronger market signals before committing to production.<\/p>\n \u201cIf you\u2019ve developed something in a vacuum and you test it quickly, you can retreat from that product and focus on something else, whereas you may have taken six months to get to that point in the past,\u201d Follestad said. \u201cIt\u2019s in an industry very sensitive to margins and running very lean.\u201d<\/p>\n The frontier for CPG extends further into the transition from the physical shelf to the invisible shelf<\/a>\u00a0\u2014 where agentic commerce protocols enable AI agents to discover, evaluate and purchase products on behalf of consumers, according to Fife. Brands competing in this environment must treat their product information management and digital asset management data as agent-ready infrastructure from day one.<\/p>\n \u201cThe objective of agentic commerce is to make the experience frictionless for the customer, for the consumer,\u201d Fife said. \u201cWhether that\u2019s shopping agents that will become a part of the repertoire for many D2C brands, or even brand agents that are driving a whole level of experience \u2014 this is really a time of transformation, but \u2026 it begins, first of all, as always with the data.\u201d<\/p>\n Here\u2019s the complete video interview, part of SiliconANGLE\u2019s and theCUBE\u2019s coverage of Google Cloud Next<\/a>:<\/p>\n (* Disclosure: EPAM sponsored this segment of theCUBE. Neither EPAM nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)<\/p>\n Photo: SiliconANGLE<\/p>\n Support our mission to keep content open and free by engaging with theCUBE community. Join theCUBE\u2019s Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities.<\/p>\n 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more About SiliconANGLE Media<\/p>\n SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE<\/a>, theCUBE Network<\/a>, theCUBE Research<\/a>, CUBE365<\/a>, theCUBE AI<\/a> and theCUBE SuperStudios \u2014 with flagship locations in Silicon Valley and the New York Stock Exchange \u2014 SiliconANGLE Media operates at the intersection of media, technology and AI.<\/p>\n Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.<\/p>\n","protected":false},"excerpt":{"rendered":"Consumer packaged goods companies face mounting pressure to grow profitably while operating on razor-thin margins \u2014 and agentic…\n","protected":false},"author":2,"featured_media":19230,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[179,13691,7493,11153,396],"class_list":{"0":"post-19229","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-agentic-ai","8":"tag-agentic-ai","9":"tag-agentic-ai-gives-cpg-brands-a-real-time-edge-on-marketing-spend-and-product-testing","10":"tag-agentic-artificial-intelligence","11":"tag-jonathan-anthony","12":"tag-siliconangle"},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/19229","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=19229"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/19229\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/19230"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=19229"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=19229"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=19229"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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