Industry Research Finds Establishing a Foundation for AI is Top Priority for CPG Enterprises
82% of organizations moving to unified platforms for standardized data and processes, AI readiness
A majority (72%) of CPG companies are using, preparing, or planning to adopt agentic AI to advance manufacturing operations, signaling a need for advanced systems and processes that can provide clean, standard data. Key insights from the research on the CPG industry technology landscape include:
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Barriers to AI remain: Current technology infrastructures are deterring organizations from deploying AI and machine learning. The top three challenges include compliance and security (60%), high costs and resources constraints (60%), and integration complexity with existing systems (58%).
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Manual processes still prevalent, increasing risk: A majority (64%) of CPGs use a mix of digital and manual processes or mostly manual with limited tools to manage quality and compliance across the supply chain. Respondents that selected advanced data integration and process automation capabilities as most valuable for improving IT efficiency say it will reduce repetitive tasks and manual work and eliminate data silos.
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CPGs want AI-powered predictive analytics: The top three reasons respondents say AI-powered predictive analytics are the most valuable capability include driving quality and compliance assurance (24%), improving decision making and data-driven insights (21%), and delivering proactive issue detection and prevention (19%). This focus on real-time insights for quality control highlights a need for technology partners with a deep understanding of manufacturing and compliance requirements.
- People, process, and data key enablers for AI: Survey finds a balance across people, process, and data is critical for a successful AI launch. The top enablers are comprehensive employee training programs (72%), high-quality data infrastructure (66%), and AI cyber security and compliance (64%), signaling AI success will require coordinated organizational readiness.
"The State of AI in Consumer Goods Report shows that managing quality across numerous legacy systems is hindering AI-readiness. To use AI effectively, respondents are considering establishing a strong data foundation on a unified platform that can scale to realize clear value," said
The State of AI in Consumer Goods Report polled more than 150 IT and functional leaders at global CPG companies in the
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