Navigating the Triple Challenge: How Retail & Consumer Companies Can Thrive
Retailers Must Navigate Supply Chain Disruption, AI Adoption, and Brand Relevance Simultaneously
The retail and consumer goods landscape in 2025 presents an unprecedented convergence of challenges and opportunities. Companies face mounting pressure from evolving trade policies, the imperative for AI-driven transformation, and a fundamental crisis of brand relevance. Success requires addressing all three dimensions simultaneously through bold, integrated strategies.
The Supply Chain Imperative
As the trade landscape shifts with new tariff implementations, retail and consumer goods businesses face uncertainty related to costs, profit margins, and growing complexity across global supply chains. Leading companies are prioritizing two key strategies: investing in technology to modernize and increase supply chain agility, and adopting consumer-focused approaches in pricing, promotion, and assortment planning.
Organizations are exploring various alternatives to offset potentially higher costs. Some are requesting suppliers to absorb portions of increased costs, while others are exploring alternative production locations to mitigate risk. These actions reflect a shift from traditional vendor negotiations to more frequent efforts to preserve margins and supply chain stability in an uncertain environment.
Companies are placing emphasis on accurately anticipating shifts in consumer demand using AI-powered predictive analytics to enable smarter decisions on inventory, sourcing, and pricing. By prioritizing digital investment, organizations can build more responsive supply chains, manage risks better, and maintain competitiveness. One global activewear brand has requested 3.5% cost reductions from vendors, while major retailers are actively working to reduce reliance on imports from certain countries, particularly for private-label brands.
AI Transformation: From Experimentation to Excellence
The consumer markets industry stands at a defining moment as artificial intelligence transitions from isolated deployments to the cornerstone of enterprise-wide transformation. With over two-thirds of consumer markets leaders indicating that their ability to leverage generative AI is driving expected increases in cloud budgets, the question has evolved from whether to adopt AI to how quickly organizations can scale AI across operations.
This sweeping change is turning traditional value chains into dynamic AI-driven networks connecting commercial operations with back-office processes. In pricing and promotion, AI adds granularity to decision-making, moving beyond blanket promotional strategies to data-driven targeted approaches that consider price elasticity, customer sentiment, and geographic nuances. Similarly, approaches to shelf space optimization and inventory management are being redrawn using AI-enabled analytics that can predict fast-moving versus slow-moving goods and position products for better return.
Significant impact is taking place in shared services and corporate functions, where cost reductions of up to 50% have been realized, along with improved output quality and experiences. Success requires in-depth business model reinvention and operational simplification. Organizations have powerful AI algorithms that remain underutilized due to challenges in scaling and practical adoption. Transformations should extend across the value chain, from back-office functions to customer-facing operations, involving collaborative orchestration between AI agents and humans.
AI’s role in mergers and acquisitions is expanding from proven use cases like contract analysis to becoming a central driver of deal strategy and value creation. Companies are doubling down on data modernization and combining AI with proprietary datasets to bring additional rigor to evaluating which businesses to buy, sell, or keep. Machine learning analyzes earnings patterns, anticipates questions, and shapes compelling transaction narratives. The impact is particularly visible in large-scale integrations, where AI revolutionizes merger integration planning by analyzing portfolio overlap, standardizing profitability metrics, and accelerating process integration.
The Relevance Crisis
For decades, scale brought success to consumer products companies. They built mass-market brands that people trusted, believed in, and loved. But the world has changed, and many companies face a relentless drift toward irrelevance. Consumers no longer consider brands a significant factor in purchases, with 78% of retailers believing that only one mass market brand will remain on store shelves in the future, giving more space to private label and niche brands.
Sustainable growth comes from driving volume, yet most companies are achieving growth through pricing—a model that is not viable long-term. Only 22% of companies were primarily driven by volume growth as consumers bought less and traded down to private label or less expensive alternatives. The remainder reported no net growth as they struggled to achieve either volume or price growth.
Companies primarily driven by volume growth as consumers traded down to less expensive alternatives
With only a handful of consumer products companies offering better returns than the 10-year U.S. Treasury Bond, maintaining relevance with consumers, customers, and capital markets becomes critical strategy. In 2025, the average dividend yield was 2.7%, but with Treasury yields at 4.2%, only one in seven companies have dividend yields that outperform, making consumer staples less attractive for investors.
Value Delivery While Preserving Trust
In response to rising consumer concern over price uncertainty, many retailers have pledged to bear part of potential price increases while pursuing value-driven strategies elsewhere. This reflects broader industry effort to shield consumers from tightening margins. Resilient assortment planning has emerged as strategy for managing impacts, while others prioritize private labels to build more price-stable product mixes.
To maintain trust amid potential price changes, companies must clearly communicate any price adjustments and offer increased value through loyalty programs and promotions. Some brands have rebranded promotions as pre-tariff sales to encourage immediate purchases. Industry sentiment reflects that raising prices for consumers will be the “very last resort,” with retailers acknowledging they have many levers to navigate effects beyond simple “raise-or-absorb” decisions.
NextGen Customer Experience
As Gen Z consumers reshape retail expectations, viewing their data as currency for hyper-personalized experiences and frictionless shopping, brands face mounting pressure to deliver seamless engagement across all touchpoints. Pure-play e-commerce players are expected to outpace both traditional retailers and large producers through subscription services and branded digital marketplaces that excel at integrating real-time intelligence across digital and physical channels.
These systems proactively discern needs while crafting personalized experiences across channels, freeing human experts to focus on high-value consultative interactions. Successful brands pivot from price-based engagement to personalized communications that authentically reflect consumer preferences and lifestyles. Advanced AI analyzes behavior patterns and emerging trends, changing approaches to merchandising and inventory management by bridging traditionally siloed functions of marketing, supply chain, and R&D.
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