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Following Salesforce’s recent announcements, the platform is becoming a major talking point among retail and technology leaders exploring the future of AI-driven commerce.
And for good reason.
The emergence of what is termed Agentic Commerce: a model where AI agents actively participate in commerce operations, customer journeys, merchandising decisions and development workflows in real time has accelerated.
But this evolution is also exposing a growing architectural problem across ecommerce.
Many retailers are now caught between two difficult positions:
According to Salesforce’s forthcoming State of Commerce report, implementing and scaling AI capabilities is now the number one challenge facing commerce leaders.
Salesforce identifies several operational challenges retailers are already experiencing today, including fragmented commerce data, disconnected third-party applications, limited checkout customisation, rising technical debt, performance degradation during peak trading periods and costly replatforming cycles.
AI systems are only as effective as the infrastructure supporting them.
Storefront Next is Salesforce’s new AI-first ecommerce storefront architecture, designed specifically for the next era of agentic commerce.
Its objective is clear: deliver enterprise-grade ecommerce capabilities without the traditional implementation complexity associated with large-scale commerce platforms.
Built for modern enterprise retail, Storefront Next combines:
Salesforce positions this approach as delivering the “best of both worlds” combining enterprise-ready scale with simplified implementation and faster time-to-value.