The CPG View reposted this
President, Pattern Advisory - Ex. Newell Brands & Private Equity, Board Member, “The Retail eCommerce Club” Founder, “The CPG View” Podcast 🎙️ “eCommerce” is our middle name.
The Future of Generative AI in CPG 🔥 Generative AI is not just the future—it’s here. The time to invest in scalable solutions, agile teams, and robust governance is now. Thought Starters: (2) - Generative AI offers transformative potential across industries, enabling revenue growth, cost savings, and operational efficiencies. - While 24% of companies have launched or are developing generative AI tools, 70% of respondents expect revenue impacts above 8%. Fun Facts: (5) 🎉 70% of respondents anticipate generative AI driving revenue growth of over 8%. 🎉 62% — Companies deploying generative AI reported 62% higher-than-expected impacts post-implementation 🎉 60% expect cost savings to exceed 6% with generative AI implementation. 🎉 38% of businesses recognize generative AI’s potential in operations like fraud detection, predictive analytics, and automation. 🎉 21% cite limited data access as the primary hurdle in deploying generative AI. Use Cases by Function: (6) - R&D: Accelerated product testing and iterations, voice-of-the-customer analysis. - Commercial: Real-time sales rep advisories, omnichannel marketing automation. - Supply Chain: Warehouse and route optimization, real-time operational analytics. - Manufacturing: Maintenance scheduling, golden-batch condition targeting. - Procurement: Contract analytics, fraud pattern recognition. - Corporate Functions: Financial planning dashboards, automated HR processes. Challenges to Deployment: 😌 Limited data access (21%) — Lack a modern tech stack to operationalize AI. 😌 Privacy concerns (20%) — Intellectual property and data security risks hinder scaling efforts. 😌 Understanding use cases (18%) — Difficulty in aligning generative AI with commercial outcomes. Key Questions for CPG Executives: (5) 1️⃣ How can your organization align generative AI capabilities with overall business strategies? 2️⃣ What scalable data foundations are needed to fuel effective AI-driven decisions? 3️⃣ Are your current tech stacks prepared to support multiple AI solutions? 4️⃣ How will you address organizational resistance to ensure adoption at scale? 5️⃣ What frameworks are in place to ensure responsible AI use while managing risks? Happy to share (7 pg). Ways to reach us: Pattern® The CPG View The Retail eCommerce Club Source: McKinsey & Company #GenerativeAI #PackagingInnovation #PaperIndustry #DigitalTransformation #BusinessGrowth
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This is an insightful exploration of how generative AI is reshaping the CPG landscape, from accelerating R&D to streamlining supply chains. The focus on both opportunities and challenges makes it a valuable guide for businesses ready to embrace this transformation.
Demand & Supply Manager
1wThank you for sharing these insights. The challenges highlighted here, such as limited data access, intellectual property concerns, and a lack of clear use cases, are indeed critical, even when applying generative AI to smaller scopes like content creation, supply chain optimization, or sales and marketing. In your experience, what are some actionable steps organizations can take to overcome these barriers while ensuring a scalable and secure implementation of generative AI? For instance, could focusing on building a robust data infrastructure or piloting targeted use cases help mitigate some of these challenges?