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CONTENTS Executive summary How AI is reshaping CPG Complexities of AI integration The way forward Conclusion Appendix A: Use cases Appendix B: Research approach Authors In an era where digital transformation is nolonger optional, artificial intelligence (AI)is emerging as the definitive competitiveadvantage — and this is very much the casefor the consumer packaged goods (CPG) research, 55% of AI use cases in CPG generatetangible business value, on par with theindustry average (Figure 1). Cybersecurity and resilience are the topuse case categories within which theCPG companies surveyed are pursuing AI, sector. The products we consume daily, from CPGs are vulnerable to cyberattacks due totheir heavy reliance on e-commerce anddigital channels. Leveraging AI is essential toproactively detect threats, safeguard systems, Research from Infosys shows thatimplementing AI helps industries stay competitive in terms of innovation andefficiency. For itsAI Business Value Radar,Infosys surveyed 3,798 business leadersglobally. Of those, 250 were from the CPG AI use in IT, operations, and facilities likelystems from a broader push forcost takeout.AI can accelerate tasks like software in isolation. It’s occurring against a backdropof market volatility due to economicuncertainty,decelerating global growth, tradetensions from tariff hikes, evolving consumer development, coding, data analysis, andprocess optimization, often completing themefficiently, and faster than human teams.By automating these functions, companiescan streamline workflows, see productivity AI offers CPG companies the potential toimpact every aspect of the value chain – fromcreating personalized products that meetindividualized consumer needs tooptimizing The IT, operations, and facilities category isless prioritized than in other industries andseems to be less viable (in other words, lesslikely to generate business value) or less likely CPG organizations that successfullyharnessAIare seeing transformative benefits, The transition to AI for CPGs isn’t happeningincluding increased operational efficiency, experimental AI pilots to enterprisewidedeployment that delivers sustainablebusiness value. The path to AI success inthe CPG sector is challenging and requires enhanced product innovation, reducedtime to market, and strengthened consumer Yet despite this promise, many CPGcompaniesstruggleto move beyond consumer data to identify personalizationopportunities, using AI to developproduct variations tailored to differentconsumer segments, and implementing The Infosys research identified severalsuccessful AI implementations in the CPGindustry. These case studies illustrate how Personalized products New product launches Product development was found to be themost viable category of AI use case (Figure3), and personalized product development isa leading AI opportunity for CPG companies.CPGs have successfully implemented AIto personalize product formulations andfeatures based on consumer preferences and When examining CPG AI use cases, loyaltyprograms and AI-driven new productlaunches show evidence of producingbusiness value more often than average(Figure 4). CPG companies have used AI topredict market reception for new products These implementations show how AI canhelp CPG companies address growingconsumer and regulatory pressure forsustainability while also enhancing product Smart, sustainable packaging Smart and sustainable packaging is anotherviable AI use case for CPG (refer to themiddle column of Figure 4). Successfulimplementations have enabled companiestodesign packagingthat minimizesenvironmental impact while maintainingproduct protection. It also allows them to Loyalty optimization Another successful AI application identified inthe research is loyalty program optimization(refer to the middle column of Figure 4). Thisapplication helps CPG companies personalize and prevent consumer churn throughproactive engagement, and optimizeprogram economics to maximize consumervalue while controlling costs. This way, AIcan transform traditional loyalty programs companies to predict cash requirementswith greater accuracy across complex globaloperations, optimize working capital byadjusting inventory levels, payment terms, This use case demonstrates the valueof AI in financial management for CPGcompanies, which often face complex cashflow challenges due to seasonal demand, Cashflow optimization This is a highly viable finance-relateduse case for CPG companies. Successful COMPLEXITIES OFAI INTEGRATION Despite the significant potential of AI in theCPG industry, companies face numerouschallenges when implementing AI solutions.The Infosys research reveals several key operating model, technical architecture,and data structure — to make them viable(refer to Figure 5, third column). This poses achallenge for organizations with entrenched High transformation required Workforce preparedness gaps One of the most significant findings from