
Here are the four developments we believe ecommerce leaders should be paying attention to stay ahead in a competitive industry.
With Agentforce Commerce connecting retailers to platforms such as ChatGPT, Google AI Mode and Gemini, customers will increasingly discover, compare and purchase products through AI assistants rather than starting on a retailer's website.
For retailers, this means product data, pricing and inventory need to be accessible wherever buying decisions are being made. SEO remains important but AI visibility is becoming equally critical.
Perhaps the biggest announcement is Storefront Next.
Salesforce has redesigned it for an AI-first future, with faster implementation and a modern React architecture that enables teams to launch and iterate significantly faster.
This reflects a wider industry trend. The competitive advantage is no longer just building a better storefront; it's building one that can evolve as quickly as AI does.
Salesforce is also embedding AI into everyday commerce operations through Merchant Agent and its wider Agentforce capabilities.
Instead of spending hours managing catalogues, merchandising rules or administrative tasks, teams can use natural language to complete routine work and focus on higher-value commercial decisions. For many retailers, this may deliver greater value than customer-facing AI alone.
None of these innovations can succeed without connected commerce foundations.
AI agents rely on accurate product information, inventory, fulfilment data and customer context to deliver reliable experiences. Retailers with fragmented systems will find it increasingly difficult to take advantage of agentic commerce, regardless of which AI tools they deploy.
Salesforce's Summer 2026 Commerce release reinforces that AI is no longer an experimental capability sitting alongside ecommerce. It is becoming embedded across the entire commerce lifecycle from storefront development and merchandising to product discovery, order management and customer engagement.
The retailers that gain the greatest advantage will be the ones with the architecture, data and operational maturity to make these innovations work at scale.