The rules in consumer packaged goods (CPG) companies have changed. Consumer preferences are shifting faster than ever, channels are more fragmented, and every commercial decision—pricing, promotions, assortment—has more moving parts. At the same time, AI is reshaping how work gets done and how advantage gets built. Large incumbents are increasingly losing out to smaller insurgents that can sense shifts early, move decisively, and adapt more quickly. Yet many CPG companies are still running outdated management systems that have expectations of predictability, not for change.
The numbers tell a stark story. Overall market volumes remained flat in 2025, yet insurgent brands—representing less than 2% of total market share—captured nearly 36% of all fast-moving consumer goods (FMCG) growth in NielsenIQ-tracked channels, up sharply from 23% the year before. Global consumer spending continues to rise, but the incumbents are not capturing it.
What makes this moment different is the pace of change hitting the CPG industry from multiple directions simultaneously. Algorithms are increasingly shaping what consumers discover and buy, compressing the window between trend and action. Retailers, armed with AI-powered pricing engines and first-party data, are negotiating harder and faster than ever. And insurgent brands, unburdened by legacy planning cycles, are sensing shifts early and moving decisively. The management system isn't just a performance lever; in this environment, it has become a survival mechanism.
According to a recent Bain survey, CPG companies trailed other industries in several areas of management systems.
What we see often in consumer products is a struggle to adapt as priorities shift. Capacity to drive change is limited. Resources remain locked in place, successful pilots are hard to scale, and work that should stop continues. Leadership teams spend considerable time reviewing performance but find it difficult to make the real decisions required to reallocate resources. This is not a new observation, but the consequences of inaction are now far more severe. As insurgents move faster and retailers gain ground through data and private label, the cost of a slow management system compounds with every cycle.
What distinguishes the leaders is not just best practices, but also a fully integrated dynamic management system built around four elements:
- Strategic planning and prioritization. The best consumer packaged goods performers—both insurgents and leading incumbents—differentiate themselves by running a living strategy with regular reprioritization and by clearly separating “run the business” initiatives from “change the business” initiatives. They constantly assess what has changed and redefine priorities.
- Dynamic resource allocation. Top performers make real decisions to reallocate financial and human resources as they learn, taking a venture-capital-style approach to funding change rather than demanding certainty upfront. Instead of spreading resources across initiatives, they ensure their best resources are always allocated to their best opportunities—reallocating frequently as performance and priorities evolve.
- Forward-looking business reviews. The best CPG performers shift business reviews from backward-looking reporting exercises to forward-looking, decision-oriented dialogues. They focus on the few metrics that matter most, surface deviations early, and use those insights to drive action, whether that means accelerating, adapting, or stopping initiatives. Increasingly, AI-enabled dashboards and forecasting tools are enhancing these reviews—automating data synthesis, improving accuracy, and enabling faster, more forward-looking decision making.
- Integrated meetings and behaviors. The most effective management systems are underpinned by a clear operating rhythm—an integrated set of forums, decision rights, and leadership behaviors that ensure the right discussions happen at the right time. Critically, they distinguish between “run the business” and “change the business” forums, enabling distinct types of dialogue: operational performance vs. learning, problem solving, and strategic decision making.
Together, these elements create closed feedback loops that enable organizations to learn, adapt, and redeploy resources quickly.
For example, Unilever redesigned its management system to more tightly link strategy, priorities, resource allocation, and its review mechanism. It introduced objectives and key results (OKRs) to define a clear set of enterprise and business unit priorities, cascaded across leadership teams and business units, ensuring the entire enterprise was pulling in the same direction rather than optimizing for local agendas. Cross-functional teams translated these priorities into focused missions and initiatives, with resources explicitly allocated to the most critical outcomes rather than fixed budgets.
This was reinforced through a quarterly rhythm where leadership assessed progress, reallocated resources, and adjusted priorities based on what was working. The company complemented this with a venture-capital-style approach to change resourcing, funding initiatives in stages based on outcomes and strategic alignment and scaling those that delivered results. The structural outcome was significant: A meaningful share of the organization shifted into dedicated nimble teams focused exclusively on strategic priorities, a visible signal that the management system had changed not just in design, but in practice.
AI raises the stakes on every one of these elements. It accelerates the pace at which consumer preferences shift and demands faster reprioritization. It reshapes workflows and workforce requirements, necessitating more dynamic resource allocation. It generates real-time performance signals to enable smarter, faster business reviews. And it introduces new decision makers into the organization, requiring governance structures to manage human and AI autonomy together. Yet CPG companies are significantly behind on this dimension.
A leading global food and beverage conglomerate offers another lens. By embedding a proprietary generative AI tool in its end-to-end product innovation process—analyzing market trends and data from across its extensive brand portfolio—the company reduced product ideation timelines from several months to just weeks. This example points to a broader challenge facing the industry: an innovation pipeline that can now move faster than the governance system designed to resource and review it. The response is to build review cadences and funding mechanisms that match the new pace of development, staging resources against milestones rather than waiting for rigid planning cycles to catch up. The technology creates the opportunity; the management system determines whether it can be captured.
Management system modernization isn’t easy. It requires overcoming decades of inertia and changing how leaders plan, resource, review, and make decisions. But in a world defined by constant change, slow adaptation is no longer survivable. For consumer products companies, adapting starts with the management system. Those that modernize it will redefine the winning playbook.