Salesforce's latest State of Commerce report exposes a fundamental tension in the AI-driven CX landscape: whilst 86% of commerce professionals acknowledge that AI is raising customer expectations, 61% admit they cannot meet those heightened demands. The vendor surveyed 3,450 commerce professionals across 20 countries and analysed behaviour from 1.5 billion customers, finding that 78% of organizations already deploy some form of AI, with nearly half planning agentic AI rollouts within six months. The pressure is real and immediate. Autonomous customer service resolution and AI shopping concierges are becoming standard use cases, blurring the traditional boundary between commerce and service journeys. Customers no longer distinguish between product discovery, order tracking, returns, and support—they expect seamless answers across all touchpoints. For teams already running Agentforce or similar agentic platforms, this creates both opportunity and risk: the speed advantage is genuine, but only if the underlying data infrastructure can support it.
The critical vulnerability lies in data fragmentation. Only 27% of commerce organizations report fully unified customer data across sales, service, marketing, and commerce functions. Among B2C players, 46% struggle with duplicate or conflicting data, whilst 37% of B2B organizations cite disconnected data as a direct cause of slower or ineffective issue resolution. This is not a peripheral problem—it is the core constraint preventing AI from delivering on its promise. An AI agent operating on fragmented data becomes a faster mechanism for delivering wrong answers, creating customer friction rather than reducing it. More than 60% of respondents identified poor data integration, undefined AI strategy, and weak data quality as moderate to major barriers to realizing AI value. Only 32% have fully defined success metrics and KPIs for their AI initiatives, suggesting most teams are deploying agentic tools without clear measurement frameworks.
The implications extend beyond commerce into B2B service dynamics and discovery channels. Over half of B2B buying tasks now occur without rep involvement, and fully self-service B2B organizations report 82% confidence in meeting expectations versus 64% for rep-assisted models. Meanwhile, 79% of organizations have seen traffic increases from LLM-powered search, with consumer reliance on AI assistants for product discovery growing 200% year-on-year. This means accurate product, pricing, and availability data must now flow not only to your support agents and websites but to third-party AI discovery experiences beyond your direct control. For CX leaders, the strategic question is whether your organization can execute the foundational data work—unification, quality assurance, real-time synchronization—faster than customer expectations continue to accelerate. Salesforce's findings suggest that AI will not hide weak processes; it will expose them at scale.
Salesforce: AI Is Raising CX Expectations Faster Than Brands Can Deliver CX Today