Top areas where AI technologies can drive value in strategy and planning practices FIGURE 12 Digital-twin-based representation of the entire enterprise value chain enabling real-time visibility, simulation and optimization of business performanceConnected and integrated strategic planning Generative-Al enabled executive co-pilot to monitor patterns, trends and signals to ﬂag deviations from the plan and suggest appropriate insights Continuous plan monitoring and adaptionA systematic and collaborative process of exploring and evaluating multiple possible future scenarios A holistic and coordinated process of aligning and synchronizing the strategic, tactical and operational plans across the value chain A data-driven and AI-enabled process of proactively predicting and detecting deviations from the plan A dynamic and iterative process of optimizing and adjusting the planStrategic bet Reinvented processes Source: Accenture. 3.3 Innovation and growth Innovation and growth, as a mega process, takes on different forms and different levels of urgency in different consumer industry domains. Nonetheless, it is integral to all. Focusing on consumer goods manufacturers, for example, it’s crucial to imagine the fulfilment that can come with leading a team that can create, prototype and test products within hours of identifying new consumer needs. Additionally, it’s essential to consider the potential of enhanced collaboration with supply chain partners, which would facilitate the sharing of the latest data about new material combinations and costs. In this way, companies can realize added value through greater speed to market, increased success rates of innovations and reduction in waste and unnecessary spending. The results of pilot projects, projected to scale, show a 50% faster time to market, an increase in innovation success rates of 50-70% and a 20% decrease in time spent on incremental innovation-related activities.32 Projected impact of AI transformation of the innovation and growth mega process FIGURE 13 Source: Impact analysis of genAI from over 1,800 Accenture client engagements, including companies in the consumer industries.Imagine a strategy team that uses such tools to inform their decision-making and then communicate and collaborate directly with R&D, marketing, supply chain and ESG executives. One of the biggest long-standing hurdles to transformation, according to the Forum’s community partners, is functional segregation. Deploying today’s technologies may finally provide a means of breaking such segregation down. Based on pilot performances, companies could see revenue uplifts of up to 20%, cost reductions of as much as 10% and an increase of between 15% and 30% in earnings before interest, taxes and amortization (EBITA) impact resulting from these activities.31 Figure 12 illustrates this concept. 50% faster time to market50-70% increased success rate of innovation20% decrease on time spent on incremental innovation activities Transforming Consumer Industries in the Age of AI 19

Transforming Consumer Industries in the Age of AI 2025