The consumer goods industry is navigating one of the most significant periods of transformation in its history. Evolving consumer expectations, portfolio restructuring, supply chain complexity, sustainability imperatives and the rapid rise of AI are reshaping how organizations operate and compete.

At the CGF Global Summit 2026, HCLTech explored a critical question facing industry leaders today: Where does competitive advantage come from?

The answer, according to HCLTech leaders, lies not in isolated AI pilots or standalone technology initiatives, but in building a strong enterprise core, one that connects data, operations and decision-making to enable AI at scale.

Competitive advantage starts with the foundation

While AI adoption continues to accelerate across industries, many organizations are struggling to translate investment into measurable business outcomes. HCLTech's The AI Impact Imperatives, 2026 report highlights a growing gap between AI ambition and business impact, reinforcing the importance of strong data foundations, modern operating models and scalable governance frameworks.

“Organizations often focus on the AI initiative itself, but the real differentiator is the strength of the foundation underneath it,” said Kristina Rogers, Chief Growth Officer, Retail, CPG and Luxury, HCLTech. “Competitive advantage comes from simplifying the enterprise core, unifying data and embedding intelligence into everyday decisions so AI can scale across the business.”

Three paths, one common goal

During the session, HCLTech examined three distinct transformation journeys that illustrate how organizations can create competitive advantage through their digital foundations. 

1. Building an AI-native enterprise from day one

The first example focused on one of the world's largest ice cream businesses, which recently became an independent organization after separating from its global consumer-goods parent company.

Unlike traditional modernization programs, this transformation provided a rare opportunity to design an enterprise technology landscape from a clean sheet. Rather than replicating legacy environments, the organization is establishing a cloud-based, AI-native foundation with unified data, intelligent automation and autonomous operations embedded from the outset.

“The opportunity wasn't simply to modernize an existing environment; it was to rethink how the enterprise should operate in an AI-first world,” said Shobhit Kumar, Vice President and Head of Consumer and Retail, Europe, HCLTech. “By creating a modular, intelligent foundation from day one, organizations can accelerate innovation while reducing future complexity.”

2. Modernizing at global enterprise scale

For most consumer goods organizations, however, transformation begins within highly complex environments built over decades.

HCLTech discussed its work with a global consumer goods enterprise that embarked on an ambitious journey to become a cloud-only organization while supporting hundreds of applications, hundreds of brands and a globally distributed workforce.

The transformation required more than technology modernization. Success depended on creating an operating model that encouraged adoption across business units while enabling teams to adapt to new ways of working.

“Technology transformation succeeds when people and business functions move together,” said Kumar. “The combination of cloud modernization and workforce enablement created a foundation that simplified operations, accelerated innovation and unlocked long-term business value.”

3. Turning data into enterprise-wide intelligence

The third example focused on a leading global brewer's effort to consolidate data and AI capabilities across multiple operating companies into a centralized global capability hub.

The initiative aimed to create consistent decision-making capabilities across the enterprise while enabling broader adoption of advanced analytics and Agentic AI.

The transformation required significant organizational change, including transitioning local capabilities to a centralized model and establishing new operating processes across regions and teams.

“Data transformation is ultimately a people transformation,” explained Kumar. “Organizations can only realize the value of AI when teams understand how to work within new operating models and trust the insights being generated. The technology is important, but successful adoption is what creates lasting impact.”

The new source of competitive advantage

Although each transformation journey began from a different starting point, a common theme emerged throughout the discussion.

Organizations that create sustainable competitive advantage establish strong digital foundations, connect enterprise data, simplify operations and embed intelligence into decision-making processes at scale.

“The common thread across every transformation journey is that advantage doesn't come from the AI initiative itself,” concluded Rogers. “It comes from the strength of the enterprise core that enables AI to deliver outcomes. When organizations get that foundation right, speed, agility, resilience and business value naturally follow.”

As consumer goods organizations continue to navigate industry disruption and AI-driven change, the ability to build intelligent, connected and adaptive enterprises will increasingly determine who leads the next era of growth.