麦肯锡-财富还是虚构？CPG数字化和人工智能转型的真正价值（英）-2024.10-8页_504kb

October 2024 Consumer Packaged Goods PracticeFortune or fiction? The real value of a digital and AI transformation in CPGA new McKinsey analysis quantifies the impact that digital and AI can have on consumer goods businesses and where consumer-packaged-goods executives should focus their efforts.

This report critically analyzes the strategic importance, practical implications, and specific challenges of digital and AI transformation within the consumer packaged goods (CPG) sector. It examines existing industry practices, identifies key focus areas for CPG executives, and quantifies the potential value creation opportunities stemming from these technologies, highlighting the varying potentials across different CPG subsectors. Fortune or fiction? The real value of a digital and AI transformation in CPGA – new McKinsey analysis quantifies the impact that digital and AI can have on consumer goods businesses and where consumer-packaged-goods executives should focus their efforts.

Introduction and Executive Summary
The narrative around generative AI (gen AI) is that it could fundamentally reinvent how businesses, including consumer-packaged-goods (CPG) companies, operate, hailed as a once-in-a-generation innovation. While CPG leadership has adopted AI faster than in some other industries (71% use AI vs. 56% gen AI usage), scaling these capabilities remains a challenge. The real impact of digital and AI varies significantly by CPG subsector, demanding focused investment strategies driven by business outcomes. Fortune or fiction? The real value of a digital and AI transformation in CPGA – new McKinsey analysis quantifies the impact that digital and AI can have on consumer goods businesses and where consumer-packaged-goods executives should focus their efforts.

Report Objectives and Scope
Recognizing the need for fact-based insights to navigate this transition, we sought answers to questions like "What is the potential value of AI in CPG?" and "Where should investment focus?" By quantifying CPG value streams and analyzing numerous use cases—supported by over 140 examples and dozens of expert interviews—we gathered subsector-specific estimates of the economic impact achievable through digital and AI investments. Our analysis guides executives in determining the next steps in their digital and AI journey, underpinned by rigorous profit-and-loss (P&L) simulations based on conservative and optimistic adoption scenarios. We have quantified the value at stake in the main parts of the CPG value chain, encouraging proactive strategic planning by CPG leaders.

Digital Transformation & AI Impact Overview
Digital and AI can significantly amplify CPG value creation across various domains, impacting both core functions (like finance and HR) and six innovation zones (e.g., product development, consumer insights, and demand shaping). While enterprise functions will gain from streamlined operations, the most substantial value shift occurs in the innovation zones enabled by advanced analytics and AI. Although generative AI (gen AI) captures headlines with its futuristic potential, traditional AI still offers transformative economic benefits on a larger scale (2.5-7x more than gen AI alone). Therefore, CPG companies should invest holistically across the entire AI spectrum to fully capitalize on the ongoing digital transformation. Digital and AI can contribute significantly to CPG performance across domains like customer and channel management, consumer insights, and demand shaping. Although gen AI captures attention, traditional AI methods underpin most successful applications and offer higher overall economic impact ($160B–$270B in EBITDA globally).

Focus Areas: Six Innovation Zones
The six innovation zones represent high-impact areas for AI application. In product and innovation, from ideation to testing, digital tools powered by AI offer significant efficiency gains and quality improvements. Generative AI, in particular, accelerates certain tasks (e.g., shortening the launch-to-market timeline for a beverage product from a leading brand by 60%). Custom lipstick formulation exemplifies the personalization potential—leveraging diverse client data points to tailor unique product experiences. However, successful implementation relies on robust collaborations with partners—retailers, logistics providers, tech platforms—who can provide essential third-party data or co-develop solutions to overcome data scarcity.

Quantifying CPG Value Streams
CPG transformation's value varies greatly by subsector due to unique opportunities. Food and beverage companies ($10B revenue) can boost EBITDA margins by 7-13 percentage points through channel optimization and customer management. One food company optimized promotion effectiveness, reducing costs while improving sales visibility. Personal care and home players ($10B revenue) saw up to a 9-16 percentage point EBITDA margin increase by enhancing consumer profiles for personalized targeting and reducing inventory imbalances. Generative AI use cases are emerging as valuable complements within broader AI-enabled solutions. Beauty brands ($3B revenue) potentially gain an 8-14 percentage point EBITDA margin increase, notably through direct-to-consumer (DTC) channels, driven by AI-backed tools like virtual try-ons and recommendation systems. However, achieving these gains requires addressing data challenges and establishing effective partnerships with the wider ecosystem (retailers, data providers, etc.).

Subsector-Specific Value Breakdown (1: Food & Beverage)
Food and beverage companies ($10B revenue*) stand to gain significantly by implementing digital and AI across their entire value chain.* This translates to potential value creation in the range of $810M to $1.6B, driven by both revenue growth and productivity improvements. Our analysis points strongly toward Customer & Channel Management as the area offering the highest returns, estimated at approximately $230M to $470M. This is crucial as food companies constantly seek to optimize their presence across online and offline retailers (e-commerce evolution, price promotions, supply chain responsiveness). Furthermore, optimizing retail trade promotions presents substantial savings opportunities, potentially reducing costs substantially while improving performance through data-driven decisions. Annual revenue growth resulting from effective promotion responses is a tangible benefit.

Subsector-Specific Value Breakdown (2: Personal Care & Home)
Personal care and home companies ($10B revenue*) can also leverage digital and AI to create substantial value.* A combined revenue and productivity impact in the range of $1.0B to $1.8B ($1B-$1.8B) illustrates the potential. Notably, Consumer Insights & Demand Shaping emerges as a particularly powerful area for value creation, offering the highest estimated impact. Building comprehensive consumer profiles ("consumer 360") enabled by AI allows companies to understand preferences, behaviors, and segmentation more accurately, leading to better inventory management and targeted marketing strategies. Integrating vast amounts of internal and external consumer data—demographics, purchase behavior, channel preferences, motivation—allows for optimizing assortments and innovations precisely. An example demonstrated a significant 13% improvement in forecast accuracy, directly contributing to inventory and revenue gains.

Subsector-Specific Value Breakdown (3: Beauty)
Beauty companies ($3B revenue*) have significant DTC value stream potential alongside broader enhancements.* A transformation across its full value chain could yield added value ranging from approximately $290M to $500M. A major portion of this stems from optimizing the Direct-to-Consumer (DTC) value stream, reflecting the strategic importance of direct customer relationships. Within DTC, AI tools like personalized beauty apps featuring virtual try-on capabilities and sophisticated recommendation engines directly boost conversion rates and customer loyalty. E-commerce platforms enable hyper-personalization, tailoring product discovery and purchase journey based on diverse touchpoints (mobile, web, in-store). The goal is not just increased sales but fostering superior brand loyalty and measurable loyalty loops through tailored online and offline DTC experiences.

Core Functions & Ecosystem Importance
While the six innovation zones capture the bulk of major value shifts, digital tools universally enhance core CPG functions (like finance and HR). Furthermore, successful transformation often requires building broader ecosystem partnerships, leveraging data from retailers (stock levels, sales velocity) or media partners. As companies increasingly rely on customer data collected directly from first-party sources (e.g., loyalty programs, website interactions), investment in cloud infrastructure and secure data-sharing platforms becomes critical for unlocking these deeper insights and enabling collaborative innovation.

Conclusion and the Spectrum of AI
Our analysis clearly shows that digital and AI are not a replacement for fundamental business strategy, but potent accelerators. The magnitude of opportunity varies, but focused investment in areas like consumer insights, personalization, and channel efficiency can yield tangible financial returns. Gen AI is a compelling part of the ecosystem, but the primary value of the CPG AI journey still relies on maturity, adoption, and ROI generation across the broader AI landscape—which is typically focused on "traditional AI" (including machine learning, advanced analytics, digital platforms). Companies cannot afford to prioritize gen AI alone; instead, they require a holistic investment strategy across the entire AI spectrum to build a mature, digital-ready organization.