Transforming Consumer Industries in the Age of AI 2025

A framework for planning end-to-end transformation3 3.1 The need for a strategic frameworkAn enterprise-wide view will unlock the full potential of AI to drive business transformation that supports creativity, innovation and growth. Unlocking the full transformative value from AI, genAI and combinatorial technologies requires big-picture planning and a willingness to explore the possibilities. Regardless of the consumer industries domain in which a company resides, its leaders need to be thinking about harnessing AI and other technologies to affect enterprise-wide transformation. Figure 9 shows the possibilities coming into view across the three consumer industries domains: grow and gather (e.g. agribusiness); create and shape (e.g. consumer goods manufacturing); and connect and serve (e.g. retailing). Connect and serve Responsibilities including distribution, selling and marketingGrow and gather Responsibilities including harvesting, sourcing and tradingCreate and shape Responsibilities including design, development and production Harvesting will be transformed through autonomous machines, maximizing yields while minimizing environmental impact. This demands a new level of understanding between farmers, agronomists and technologists to integrate advances into agricultural practices. Autonomous negotiation and real-time market prediction will revolutionize sourcing. This leap forward requires collaboration between procurement teams and suppliers to enable data-driven decisions in the future. Revolutionized trading requires real-time predictive insights automating decision-making and simulating market scenarios. Traders will harness Al to predict price fluctuations, optimize trades and identify new market opportunities with greater precision.The next frontier in design involves co-creating revolutionary products and synthesizing trends and individual preferences. To do so, designers, data scientists and consumers will need to collaborate in a “phygital” space (blending the digital and physical worlds). Product development and R&D processes will accelerate (and cut costs) through advanced simulation and testing. Harnessing this potential requires new levels of collaboration among R&D teams and market researchers. The factory of the future will thrive at the intersection of manufacturing and sustainability. It will revolutionize production lines through predictive maintenance, reducing downtime and extending equipment life.Hyper-personalization will elevate marketing, crafting unique brand experiences for each consumer across all touchpoints. Balancing personalization with consumer trust through responsible data use will be critical to its success. Future distribution systems will feature self-adjusting, predictive supply chains that anticipate and fulfil needs before they arise. These require increasingly agile logistic networks built through deepened collaboration with consumer goods manufacturers. The future of selling involves understanding and anticipating customer needs with human-like empathy and enhanced knowledge. Such a future requires cohesion between sales professionals and advanced technologies to enhance (not replace) human interaction. Transformation opportunities by domain FIGURE 9 Source: Accenture. Transforming Consumer Industries in the Age of AI 17