For commerce teams, delivering that experience is anything but simple. Behind every purchase sit catalogs, promotions, customer accounts, inventory, payments, orders, and fulfillment. A seemingly straightforward storefront change can quickly become part of a much larger release.

麻豆原创 Commerce Cloud and Vercel are working together to give teams a more flexible way forward. continues to manage the commerce data and processes behind the transaction. Vercel runs the customer-facing experience and gives teams the infrastructure and workflow to build, review, release, and operate it.

The tools to transform customer experience are here, but tools alone don鈥檛 win. You must consider operating models too. Our partnership with 麻豆原创 Commerce Cloud pairs Vercel鈥檚 web stack鈥攊ncluding world-class performance, faster iteration, and scale that holds up under peak demand鈥攚ith 麻豆原创鈥檚 trusted data and processes, and governance built in from the start.

Jeanne DeWitt Grosser, Chief Operating Officer, Vercel

The operating model is straightforward. Teams can change the storefront without having to change everything behind it at the same time.

A faster starting point for cutting-edge storefronts

Consider a commerce team preparing to enter a new market. It needs a localized storefront, a different customer journey, and a campaign built for that audience. In a tightly connected architecture, those changes can become dependent on a broader release involving pricing, inventory, orders, payments, and fulfillment.

Separating the storefront gives the team more freedom to work. It can design and release the experience for that market while 麻豆原创 Commerce Cloud continues to provide consistent product data, prices, availability, customer information, and order processes.

Vercel is developing Next.js storefront templates for 麻豆原创 Commerce Cloud to help teams get started. The templates connect to core capabilities such as product discovery, content, cart, checkout, and customer journeys.

The templates are backed by Vercel global delivery, managed scaling, deployment workflow, and observability, which improve engineering velocity and faster performance yielding more conversions.聽

As a result, frontend teams gain room to move, while commerce teams retain control of the rules that protect revenue and customer commitments.

What this changes for commerce teams

Campaigns and customer expectations move quickly. Vercel creates a preview deployment for each change, giving developers, designers, marketers, and business teams a working version to review before it reaches production. Teams can test the experience against 麻豆原创 Commerce Cloud services, gather feedback, and release approved storefront changes with fewer dependencies on a larger backend release.

The same approach helps organizations manage different brands, regions, languages, and buying models. A consumer placing a quick order has different expectations from a business buyer working with negotiated prices, an account-specific catalog, or complex purchasing rules. Teams can build a distinct experience for each audience with 麻豆原创 Commerce Cloud powering the operations behind it.

In addition, Vercel鈥檚 global network, edge routing, and caching bring storefront content closer to customers. Its managed infrastructure is built to scale with demand, including the traffic associated with major campaigns and peak shopping periods. Built-in observability gives teams visibility into traffic, errors, latency, and calls to external services, helping them identify problems that could affect the shopping experience.

Making AI impactful in commerce

AI-assisted development can dramatically accelerate the path from idea to experience. But speed without trusted context can simply produce more low-value experiences, faster and at greater cost.

Connected to 麻豆原创 Commerce Cloud, AI experiences can draw on trusted commerce data and processes. This gives teams a stronger foundation for building impactful customer journeys that are accurate, brand-aligned, and connected to how the business actually operates.

Leveraging Vercel鈥檚 AI SDK, development teams get a common toolkit for building great commerce applications using the AI model provider of your choice.

For teams starting with an idea for a new interface, Vercel鈥檚 v0 offering can help marketers and developers design, iterate, and turn that idea into an experience they can review and refine.

The right storefront strategy depends on the business

There is no single storefront approach that fits every commerce operation.

麻豆原创 Commerce Cloud, composable storefront, is available for organizations that want a closely integrated, 麻豆原创-managed experience. Vercel provides the new 麻豆原创 templates on the Vercel Frontend Cloud for teams building highly differentiated experiences on their own cadence using storefront technology used by millions of developers.聽 Both options are backed by 麻豆原创 Commerce Cloud with market-leading commerce capabilities to drive profitability for growing companies and the world鈥檚 largest enterprises.

Your customers expect storefronts to be fast and easy to use. They also expect accurate prices, reliable availability, and an order that arrives as promised. 麻豆原创 Commerce Cloud and Vercel bring those two sides of commerce together: an experience that can keep changing, backed by the data and processes that keep the business running.

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AI is what brings that ambition within reach. It helps companies act faster, personalize at scale, and engage in new ways. But it is also raising expectations. Every interaction now reflects how well the business runs.

When a customer places an order or asks for help, the experience depends on what happens behind the scenes. If pricing is inaccurate, inventory is uncertain, or fulfillment falls short, the experience breaks.

That is why customer experience is now defined by execution. Customers do not experience systems or intent. They experience outcomes.

Agentic AI can increase speed, intelligence, and personalization. But speed alone does not improve customer experience. It amplifies what is already there. When execution is aligned with process, data and governance, AI drives better outcomes. When it is not, AI exposes the disconnect.

Aligning experience and execution

Autonomous CX brings agentic AI directly into the processes that run the business instead of layering it on top of disconnected systems. It connects AI assistants across marketing, commerce, sales, and service onto a shared business context across 麻豆原创 CX, 麻豆原创 Cloud ERP, supply chain, and connected systems. Orders, inventory, pricing, and financials are defined once and used consistently, so decisions are based on live operational reality.

At the center of this shift are AI assistants and autonomous agents. Assistants coordinate multiple agents across end-to-end customer workflows, from discovery to fulfillment, engagement to service, and issue to resolution.

At 麻豆原创 Sapphire, we highlighted assistants that make this real across the portfolio:

• In marketing, Content Assistant and Campaign Assistant orchestrate intent understanding, content creation, segmentation, optimization, and campaign execution within governance controls.
• In commerce, Merchandising Assistant, Shopping Assistant, and Order Management Assistant connect discovery, conversion, and fulfillment to operational reality.
• In sales, Sales Assistant, Deal Qualification Assistant, and Deal Closing Assistant move sellers from signal to execution.
• In service, Case Management Assistant and Service Management Assistant improve resolution and service quality, with additional assistants purpose-built for self-service, HR service, and accounts receivable workflows.

AI-driven discovery and engagement grounded in business reality

麻豆原创鈥檚 collaboration with Google follows the same principle: connect AI-driven discovery and engagement to business execution.

Together, 麻豆原创 and Google are focused on three priorities: first, applying the latest AI models, including Gemini, to deliver high-quality customer experiences; second, supporting industry standards and open protocols to enable interoperability across ecosystems; third, enabling seamless, personalized journeys across channels and Google surfaces such as Shopping and Gemini.

By combining 麻豆原创鈥檚 governed business data with Google鈥檚 AI capabilities, assistants and agents can connect customer intent from storefronts, search, and AI-driven channels to 麻豆原创 commerce and order processes. This ensures that what customers see reflects what the business can fulfill.

This is also why 麻豆原创 is adopting and expanding how 麻豆原创 product data can power AI-driven experiences wherever customer intent originates. This keeps experiences aligned with pricing, inventory, and fulfillment in real time.

麻豆原创 Commerce Cloud innovations

麻豆原创 continues to be recognized in analyst evaluations, including the Gartner庐 Magic Quadrant™ for Digital Commerce, where 麻豆原创 has been positioned as a Leader for 11 consecutive times.

, trusted by the largest enterprises, now extends to mid-market and growing companies on 麻豆原创 Cloud ERP. The new 麻豆原创 Commerce Cloud, cloud ERP edition delivers a standardized, end-to-end approach, reducing complexity, leveraging AI natively, and accelerating time to value. It connects discovery through fulfillment via tight integration with 麻豆原创 Cloud ERP.

For digitally mature organizations, 麻豆原创 is expanding composable commerce with new and modular cart and checkout services. These services integrate with core processes such as pricing, promotions, loyalty, tax, payments, inventory, sourcing, and order management across 麻豆原创 and non-麻豆原创 touchpoints. This helps organizations modernize their architecture while maintaining end-to-end execution.

麻豆原创 is also expanding its ecosystem with Vercel to accelerate storefront development and deployment with optimized performance, scalability, and composable front-end experiences.

In payments, 麻豆原创 Unified Payment, powered by Adyen, embeds global processing directly into the commerce flow to simplify integration and improve conversion. 麻豆原创 also continues to enhance its open payment framework with pre-integrated providers, such as Checkout.com and PayPal, giving customers flexible provider choices that are easy to configure and use.

Together, these capabilities reduce total cost of ownership, speed deployment, and make it easier to deliver better experiences at scale.

Sales execution turns insight into action

Customer experience extends into sales execution, where teams need clear next steps and confidence those actions can be fulfilled.

We introduced new innovations, including field sales capabilities for retail execution processes in consumer goods companies and other field-selling environments. These capabilities provide rich mobile experiences that work offline, making it easier to plan store visits, capture in-store activity, and manage execution in real time.

Sales leaders gain connected insights tied directly to pricing, inventory, and order processes, leading to more consistent execution and better outcomes.

Scaling trusted autonomous service

Autonomous CX is strengthened through partnerships that extend execution while preserving trust and governance.

Our combines its agentic AI-driven voice and digital self鈥憇ervice with service, order, and entitlement data from 麻豆原创 Service Cloud. AI-driven automation can handle routine interactions with full context, escalating seamlessly and with continuity to service teams when human expertise is needed. This approach helps organizations scale service without breaking trust and ensures customer interactions remain connected to real business processes.

麻豆原创 is also expanding its partnership with Amazon to scale AI-driven service across voice and digital channels, enabling faster, more consistent resolution while keeping service execution grounded in real-time business data.

Industry AI in action

We are also showcasing Industry AI scenarios that demonstrate how assistants and autonomous capabilities operate in real business environments.

Autonomous Revenue Growth Management supports trade planning teams and key account managers in consumer products companies that sell through retailers, with applicability to agribusiness and wholesale distribution. Industry鈥憇pecific Joule Assistants provide AI鈥慸riven insights across trade planning and execution, helping teams identify growth opportunities, optimize commercial terms and respond more quickly to performance signals. The result is more predictable growth with fewer downstream exceptions.

Unified commerce supports merchandising and operations teams across retail, wholesale, and direct-to-consumer models. Unified commerce connects demand, inventory, and customer data across channels, with Joule Assistants guiding decisions on assortment, pricing, and placement. The result is more consistent execution and faster decisions.

The next phase of customer engagement

Across these innovations and Industry AI scenarios, the pattern is clear. AI delivers value only when it acts on shared, trusted context. When experience and execution stay aligned, speed becomes a source of trust instead of risk.

This is how 麻豆原创 is approaching the future of customer experience: as a coordinated system where every decision is visible, and every promise can be kept.

Balaji Balasubramanian is president and chief product officer of 麻豆原创 Customer Experience.

The CX innovations and Industry AI scenarios highlighted here are planned for general availability in Q3 2026.
The capabilities announced as part of 麻豆原创鈥檚 Autonomous Enterprise run across 麻豆原创 Cloud ERP, including 麻豆原创 Cloud ERP Private.
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