Agentforce Commerce

41% of B2C shoppers are already using natural language search on brand sites. The July 2026 B2C Commerce release was built for exactly that moment. Agentic Commerce Search decodes natural phrasing, long-tail queries, and typos — no synonym lists, no manual tuning. Just an AI engine trained on your catalog, real shopper behavior, and simulated queries. Plus: native OpenAI catalog integration, granular replication controls, site-wide content blocks, and a new VS Code extension for devs. Hear from Miryam M. and read her breakdown here: https://lnkd.in/gctXQq5y

Unboxing is a customer's first real impression of your product. SharkNinja uses Agentforce to make sure that moment counts. See how they built it. 👇

📊 New research just dropped: The 2026 State of Commerce Report is here! We surveyed 3,400+ commerce leaders to find out what's driving success in a shifting market — and what's holding teams back. A few things stood out: • Only 27% of commerce organizations have fully unified customer data across sales, service, marketing, and commerce. • 79% of organizations are seeing more traffic from LLM-powered search — yet 59% say their tech stack can't support real-time personalized experiences at scale. • 71% of respondents agree: scaling across channels isn't viable without AI. Read the full report here: https://lnkd.in/gEZfE7u3 or click below for Caila Schwartz's take on what surprised her most.

Generic AI coding assistants underwhelm on commerce projects for a simple reason: They don't know your platform. Drew Lau, Senior Director of Product Management, explains how Agent Skills for B2C Commerce close the gap and bring enterprise trust to AI-native commerce development.

Product discovery has a new starting point: Consumer use of agentic search — like ChatGPT — as the first stop in the shopping journey grew 200% year-over-year. As ChatGPT's shopping experience evolves over time, it's crucial for merchants to prepare their catalog feeds for upcoming changes. Product manager Adam Levine breaks down what's changing, why it matters, and exactly how to get started.

The Agentforce Commerce team has been working hand in hand with OpenAI to shape the future of agentic shopping. While AI-assisted product discovery is evolving fast, our focus from day one has been simple: Drive real, measurable outcomes for enterprise brands. By equipping ChatGPT with a direct, real-time catalog feed via Agentforce Commerce, we ensure merchants show up accurately, prominently, and seamlessly right when shoppers are ready to buy. The momentum across our live merchants speaks for itself: +39% increase in average daily visits from ChatGPT +21% increase in average daily conversions Don't just take our word for it. Here’s what Feliz Papich, MBA, SVP of Digital Technology, Experience & Insights at Crocs, Inc., had to say: "Being one of the first brands to go live in ChatGPT with Agentforce Commerce has been a fantastic step for Crocs in our agentic roadmap. We've seen growth in both the traffic coming to us from ChatGPT and conversions. We’re excited to continue deepening our integration and serving our consumers wherever they shop." This capability is available to US sites today. Thank you to our partners at OpenAI and our early adopter merchants for paving the way.

The results are in... Agentforce Commerce swept the Paradigm B2B Combine. Industry analyst Andy Hoar awarded Agentforce Commerce 9 Gold, 1 Silver, and 2 Bronze across every single category. 🎉 This recognition comes on the heels of a landmark B2B release — built for enterprise teams who need AI that actually works inside their commerce and OMS experience, not bolted on after the fact. Autonomous agents. Total interoperability across Data, Sales, Service, and Slack. Headless-ready architecture that scales when you need it to. This is what enterprise + easy looks like in practice. 👉 Read the full Paradigm B2B report here: https://lnkd.in/gRcDPvsy

Shoppers don't think in keywords, so why should search? Agentic Commerce Search is now GA, and it's changing how shoppers find products. Instead of matching terms, it understands intent, simulating millions of shopping journeys to surface exactly what customers are looking for. Read John Andrews' take on what that means for the future of commerce. 👇

“If you've ever watched a promotion miss its window because swapping a banner required a developer to deploy, or seen your team juggling parallel workflows just to gain a little campaign flexibility — we built new Page Designer updates for you.” Ishani Sharma, Product Management Director, explains how Page Designer for Storefront Next helps retailers move as fast as the market demands, without sacrificing brand control or requiring developers for every change.