Key Takeaways
- Salesforce built a 24/7 Buyer Agent directly into B2B Commerce on Agentforce, letting customers find products, manage orders and buy through natural conversation on channels like WhatsApp and SMS.
- The suite replaces keyword matching with intent-driven AI search and connects digital storefronts to sales reps through unified data, closing the gaps that leave buyers stuck between disconnected systems.
Salesforce recently rolled out a suite of B2B Commerce innovations designed to remove friction across the buyer lifecycle. The release brings agentic commerce, intent-driven search, omni-channel buying and headless extensibility into a single connected experience, giving companies the tools to meet buyers on any channel and turn every interaction into revenue.
B2B buyers now use an average of ten channels throughout a purchase, according to McKinsey and Company, and they expect to move between them without friction. Disconnected systems create messy handoffs between sales reps, digital storefronts and back-end tools, leaving buyers stuck in the gaps. The new suite closes those gaps.
At the center of the release is Buyer Agent, built natively into B2B Commerce on the Agentforce platform. Buyer Agent acts as a 24/7 intelligent buying assistant, available wherever the buyer already is, including WhatsApp and SMS. Customers can find products, manage orders and complete purchases entirely through natural conversation, without calling a sales rep. Buyer Agent also recommends products with rich visuals rather than plain text, delivering a more consumer-like, white-glove experience that helps buyers find what they need faster.
Search That Understands Intent
The suite introduces AI-Driven and Attribute-Based B2B Search, which moves past traditional keyword matching. Instead of requiring an exact product name or SKU, the search engine understands the intent behind a query and surfaces the most relevant results, even across sprawling catalogs.
A buyer can type “I need a bearing replacement for a large offshore wind turbine, high load, saltwater environment” and receive precise results. Merchandisers gain granular control over attribute-based ranking and product visibility, replacing “no results found” with recommendations that lift average order value.
Bridging Digital Channels and Sales Reps
Omni-channel B2B Buying connects digital storefronts and sales teams through unified data. The journey starts with Request for Quote, already generally available, and completes with new Quote to Cart functionality. Once a quote is negotiated and approved, sellers share it with customers as a cart, ready for checkout. This Round Trip Quoting flow keeps context intact across every touchpoint and speeds up complex orders.
Mobile Publisher lets companies build and deploy branded mobile apps to the Apple and Google app stores without building from scratch. Buyers can browse, add to cart and check out from their phones, using native features such as FaceID, camera, notifications and location.
Rounding out the release, the Headless Reference Architecture and API Library, part of the Headless360 initiative, accelerates time to market. This pre-built, functional application gives developers a blueprint for orchestrating complex B2B journeys, from catalog to checkout. Teams can build with modern frameworks like React or Vue while maintaining a single, unified source of truth across every digital touchpoint.
What This Means for B2B Marketing Officials
- Turn buyer intent into pipeline, faster. AI-driven search and Buyer Agent surface the right products at the right moment, reducing drop-off and lifting average order value without adding headcount or manual intervention.
- Own every channel your buyer uses. From WhatsApp to mobile apps to self-service portals, your brand stays consistent and your marketing data stays unified, so you can measure what’s working and optimize in real time.
- Launch new campaigns and channels without waiting on IT. Headless360 lets marketing teams deploy new digital experiences quickly, using any front-end framework while keeping back-end data clean and centralized.
