Salesforce Announces New Commerce Cloud Features

Salesforce Announces New Commerce Cloud Features

The News: Salesforce announced on July 25 several new features and enhancements to its Commerce Cloud, which are designed to integrate digital commerce experiences into sales, service, and marketing channels. The new features, which include Pay Now, Snapchat for Commerce, Reorder Portal, and Order Support, will let customers more efficiently create purchasing experiences and drive additional revenue via AI, data, and CRM tools and applications.

According to Salesforce, Reorder Portal, Pay Now, and Order Support are generally available now, while Snapchat for Commerce is currently in pilot testing and will be generally available later in 2023.

Read the Press Release on Salesforce’s website.

Salesforce Announces New Commerce Cloud Features

Analyst Take: Acknowledging and supporting the trend for customers to use multiple channels when engaging with a company, brand, or service, Salesforce announced support for new digital commerce experiences within Commerce Cloud. Companies will be able to support payment transactions directly within a digital channel via a new Pay Now feature. Utilizing AI, customers can also transform service interactions into buying opportunities using a self-service Reorder Portal, which leverages next-best actions powered by Einstein AI, and lets buyers access all past orders and easily reorder without having to call their sales representative.

With Order Support, organizations can leverage agents, bots, self-service actions, and knowledge articles to surface sales opportunities during service interactions by recommending relevant products. Finally, the forthcoming Snapchat for Commerce will enable organizations to create ads on the platform, increasing product discoverability and directing Snapchat users back to the storefront or allowing them to complete their purchasing experiences directly in the app.

Meeting Customers in Their Preferred Channels

The emergence of digital channels and mobile apps has led to a significant percentage of customers who consume content, interact with others, and seek out products and services from within a specific channel or application, rather than visiting a mobile or desktop-based website. As these channels and applications have incorporated more functionality, companies and brands have realized the value of meeting customers within these channels, instead of trying to drive traffic back to a separate app or site.

Salesforce’s integration of a Pay Now feature extends this functionality to make it easier for field agents to create purchasing experiences within these preferred digital channels, instead of needing to use a separate physical payment capture device or sending a link to a website-based payment mechanism. Using Pay Now, a field service agent can send a payment link to the customer as a text, email, or report directly from their app as they complete the service request, and then ensure payment is completed before leaving the job site. This capability will provide Salesforce customers with even more options for delivering better purchasing experiences that provide less friction, more convenience, and greater revenue assurance.

Leveraging AI to Provide Next-Best-Action Support to Enable Self-Service Reordering

Many business customers reorder similar types and quantities of products, either on a fixed schedule, or on an as-needed basis. Salesforce’s use of Einstein AI to power a personalized, self-service Reordering Portal, helps organizations automate reorders and engage repeat buyers, without needing to engage the services of a sales representative. Next-best-action driven self-service portals permit organizations to refocus human sales representatives on the most complex or high-value opportunities, instead of more routine orders that can be more convenient for customers to handle themselves.

Surfacing Sales Opportunities from Service Interactions

Customers do not mind additional offers being presented during service interactions, but they must be delivered at the right time, and need to be relevant to the interaction.

Salesforce’s Order Support tool can surface sales opportunities during service interactions by recommending relevant products, based on the actions being conducted in the interaction, along with additional data integrated from agents, bots, self-service actions, and knowledge articles. This allows in-context and relevant purchasing experiences to be generated during service interactions in a seamless, friction-free manner, since the products or services that are recommended will be relevant to the customer’s ongoing service interaction.

Driving New Purchasing Experiences via Snapchat Ads

The last bit of news released focused on the forthcoming capability to leveraging Snapchat for Commerce to create ads on the platform. By creating ads directly on the social platform, it may help to increase product discoverability and enable new purchasing experiences, either by checking out directly within Snapchat, or by directing users back to a storefront. While Snapchat’s user demographics clearly skew young (the app’s largest age group was those aged 18 to 24, accounting for 38.6% of the social media platform’s total audience), organizations with customers that fall within this demographic slice cannot ignore Snapchat’s reach, which, as of July 2023, accounts for 384 million active daily users.

Each of these features leverages the data contained within Salesforce Commerce Cloud to drive contextually-relevant purchasing experiences. By incorporating customer data, past purchase history, related product information, and supporting purchase experiences within the customer’s preferred channel, significant friction can be removed from the process, particularly when trying to convert support interactions to sales opportunities.

Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.

Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.

Other insights from The Futurum Group:

Salesforce Announces General Availability of Embedded Generative AI Tools

Salesforce Leverages AI, CRM, and Real-Time Data to Improve Financial Services CX

Salesforce Unveils Marketing GPT & Commerce GPT for End-to-End Personalization

Author Information

Keith Kirkpatrick is VP & Research Director, Enterprise Software & Digital Workflows for The Futurum Group. Keith has over 25 years of experience in research, marketing, and consulting-based fields.

He has authored in-depth reports and market forecast studies covering artificial intelligence, biometrics, data analytics, robotics, high performance computing, and quantum computing, with a specific focus on the use of these technologies within large enterprise organizations and SMBs. He has also established strong working relationships with the international technology vendor community and is a frequent speaker at industry conferences and events.

In his career as a financial and technology journalist he has written for national and trade publications, including BusinessWeek, CNBC.com, Investment Dealers’ Digest, The Red Herring, The Communications of the ACM, and Mobile Computing & Communications, among others.

He is a member of the Association of Independent Information Professionals (AIIP).

Keith holds dual Bachelor of Arts degrees in Magazine Journalism and Sociology from Syracuse University.

Related Insights
Databricks AI’s GPU Reliability Push Exposes Hidden Risks for Large-Scale Training
July 3, 2026

Databricks AI’s GPU Reliability Push Exposes Hidden Risks for Large-Scale Training

Databricks AI reveals critical GPU reliability challenges in distributed training environments. Silent slowdowns and numerical corruption pose greater risks than visible failures, threatening model quality and compute efficiency at enterprise...
AI Code Review Hits a Wall: Why Speed Without Trust Risks Engineering Chaos
July 3, 2026

AI Code Review Hits a Wall: Why Speed Without Trust Risks Engineering Chaos

A survey shows 94% of engineering leaders use agentic AI coding tools, but 55% struggle with reliability and hallucinations—revealing a critical gap between development speed and production quality....
Brave's Browser Containers Raise the Bar for Privacy and Workflow Flexibility
July 3, 2026

Brave’s Browser Containers Raise the Bar for Privacy and Workflow Flexibility

As AI platform adoption accelerates to $181.3B projected market size, Brave's v1.92 release introduces native browser containers addressing data privacy concerns for 52.6% of enterprise decision makers managing multi-cloud AI...
Is Self-Healing ITOps Ready to Replace Manual Incident Response?
July 3, 2026

Is Self-Healing ITOps Ready to Replace Manual Incident Response?

LogicMonitor's AI-driven ITOps framework combines root-cause analysis with governed automation to reduce alert fatigue and accelerate issue resolution, as agentic AI reshapes enterprise infrastructure management....
Can DataRobot's Unified AI Governance Break the Silo Trap for Enterprise AI?
July 3, 2026

Can DataRobot’s Unified AI Governance Break the Silo Trap for Enterprise AI?

DataRobot's unified AI governance platform extends beyond public cloud to on-premises, edge, and air-gapped environments, directly addressing the enterprise AI fragmentation problem where visibility ends at deployment boundaries....
Oracle Makes the Case for AI Inside Everyday Leadership Workflows
July 2, 2026

Oracle Makes the Case for AI Inside Everyday Leadership Workflows

Keith Kirkpatrick, Research Director at The Futurum Group, examines how Oracle Manager Edge embeds AI-powered coaching into Oracle Cloud HCM, bringing real-time guidance into managers' daily workflows and strengthening Oracle's...

Book a Demo

Welcome

The vision behind everything in Futurum’s Custom Research practice is this: research should show you what is happening, what comes next, and what to do about it. It should be personal to each audience, easy for people to grasp, and structured so LLMs can reason over it accurately. And it should be fast and turnkey; you want answers now, not another project to carry for quarters.

Whether you are defining business, channel, or go-to-market strategy; evaluating vendors or justifying ROI; or commissioning research to fill an emerging market need, we have your back, with a program that answers your questions with the objectivity and credibility to drive real decisions.

To do it, we bring unmatched data to bear: Futurum research, surveys, and market projections; validated market feeds; ETR’s 15 years of insight from 10,000 technology decision-makers; G2’s buyer and user data; and what our analysts hear every day. Add leading primary collection, from AI-moderated voice interviews to surveys and analyst-led interviews, all turnkey, and every project comes out credible, nuanced, and actionable.

And we don’t just drop the results in your lap. For internal work, we provide analyst-led sessions, interactive dashboards, and a range of formats. For market-facing work, Futurum delivers turnkey activation and amplification that actually gets seen, by people and by LLMs, through our media and share of voice. This is research that moves decisions and markets.

We will meet you wherever you are, from a fast-turn brief to a multi-year program, and shape the work to your goals, timeline, and budget. The right program for your moment.

If any of this is useful, I would love to talk.

Benjamin Brown, VP Custom Research, Futurum Research

Benjamin Brown

VP, Custom Research · The Futurum Group

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.