The gap between execution and strategy often widens as hype cycles gain steam. This is evident in the growing disconnect in retail and restaurants between AI investment and foundational readiness. Executives are placing big bets on AI to transform operations and CX, but at a basic level, AI is only as good as the data underpinning it, and many organizations are still operating on data foundations that were never designed for real-time decision making or intelligent automation.

This gap is becoming one of the biggest risks to competitiveness. No matter how advanced the AI, it cannot overcome fragmented systems, unsynchronized data, and limited visibility across the business.

Before AI can deliver value, the data must work.

Retailers and restaurant operators are simultaneously trying to modernize their businesses while continuing to deliver consistency, efficiency, and growth in an environment that remains highly unpredictable.

Economic volatility, shifting tariffs, supply chain disruption, labor constraints, margin pressure, rising customer expectations, and intensifying competition are all converging at once. At the same time, business leaders are being told that AI can help address many of these challenges, from improving forecasting and pricing to strengthening personalization and automating decision making.

In many ways, this is like trying to build the plane while in the air, and there is an important reality that is becoming clearer: AI is only as effective as the data foundation beneath it.

From modernization as IT project to business necessity

As we look across the market, it is evident that retailers and restaurant operators are no longer thinking about modernization as a narrow IT project. They are increasingly focused on modernizing data flows, processes, and systems as a business necessity, one that can enable greater operational efficiency now and more advanced AI capabilities over time.

For most organizations, the issue is not, nor has it ever been, a lack of data. Rather, restaurateurs and retailers often bemoan not knowing where data is, who owns it, and what to do with it. The common refrain is that retailers and restaurants already generate enormous volumes of data across POS systems, ecommerce platforms, loyalty programs, ERP environments, supply chain applications, labor systems, partner networks, and digital customer touchpoints.

The challenge is that much of this data remains fragmented, delayed, inconsistent, or difficult to govern. As a result, organizations often struggle to turn raw information into timely, trusted, and actionable insight.

Enter data modernization

A modern data environment is not just about migrating workloads to the cloud. It is about creating an architecture that can unify distributed data, improve visibility, support real-time decision making, and establish the governance needed to scale analytics and AI responsibly.

In retail and restaurants especially, where business conditions can change by the hour and differ significantly by location or region, synchronized and accessible data is foundational to better execution.

IDC research reinforces how significant this issue has become. According to IDC’s Global Retail Technologies and Business Processes Trends Survey, 2025, retail and restaurant organizations cite data visibility and accessibility, data synchronization, and data unification among the most important challenges to staying competitive. The same research also shows that poor data synchronization and integration, along with lack of access to real-time data and analytics, remain persistent barriers to successfully executing AI strategies.

Why AI efforts stall without modern data

Many organizations are eager to scale AI, but their data is still trapped in disconnected environments, governed inconsistently, or refreshed too slowly to support intelligent action. In that context, AI initiatives can easily stall, underperform, or produce outcomes that business users do not fully trust.

This is why so many retailers and restaurant operators are now prioritizing modernization efforts to improve how data moves across the enterprise and unlock efficiency and innovation. They want to reduce friction between systems and teams. They want better governance, better quality, and better observability. Increasingly, they want flexible architecture to support future use cases they may not have fully defined yet.

What this means for technology buyers and providers

Technology buyers eager to adopt the latest AI capabilities must think about data modernization and how they engage services partners to support this work. This goes beyond migrating legacy data estates. That is only the beginning.

Services providers must help brands design more adaptable, composable, and cloud-enabled foundations that support retail and restaurant-specific outcomes. This may include real-time inventory visibility, improved demand forecasting, dynamic pricing, customer intelligence, shrink reduction, faster fulfillment, or more efficient store and restaurant operations.

Retail and restaurant businesses do not need generic modernization strategies disconnected from business realities. They need partners that understand frontline complexity, omnichannel operations, distributed environments, and the increasing pressure to improve both efficiency and customer experience at the same time.

Data modernization as a strategic lever

For retailers and restaurant operators, data modernization is far more than a back-end initiative. It is becoming a strategic lever for resilience, innovation, and competitive differentiation. AI may be driving urgency, but modernization is what makes progress possible.

Dorothy Creamer - Sr. Research Manager - IDC

Dorothy Creamer is Senior Research Manager for IDC Research, Hospitality & Travel Digital Transformation Strategies, providing research and advisory services for hotels, casinos, restaurants and travel organizations. Ms. Creamer's research will focus on how these business segments are transforming and leveraging technology to increase efficiencies, deliver operational benefits and identify new revenue streams. Ms. Creamer's research will report on effective digital strategies to empower both guests and employees and analysis of areas of opportunity in a fast-evolving and highly competitive segment.

Margot Juros - Research Director, Worldwide Retail AI, Platforms, and Technologies - IDC

Margot Juros is a Research Director for IDC Retail Insights responsible for the Worldwide Retail Platforms & Technologies research program. Ms. Juros’s core research focuses on examining best practices, discerning emerging trends/critical business concerns, evaluating market conditions and vendor offerings to provide authoritative advice on IT investment strategies and optimal use of technologies for modern retail IT infrastructure. Her research covers key technologies for retail transformation, including cloud/edge, AI/GenAI/agents, cybersecurity/security, data management, payments, unified platforms, mobile, and networking/5G/Wi-Fi.