This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:
| Date | Product | Feature | Notes |
|---|---|---|---|
| 29 JUN 2022 | Created initial document. |
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This information may not be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. Oracle specifically disclaims any liability with respect to this information. Refer to the Legal Notices and Terms of Use for further information.
Oracle Commerce merchants can now use Oracle Maxymiser to define and execute A/B tests on their Commerce site. With this Commerce integration, merchants can test different customer experiences side-by-side to determine how they affect visitor behavior.
To enable this integration, you must have active licenses for both Oracle Commerce and Oracle Maxymiser.
Capability highlights
- Create tests that span multiple regions of a page and multiple pages across the site
- Test widget layouts as well as different content and presentation
- Test alternative business functionality on the page
- Measure and compare business outcomes including new customer registration, orders and revenue, product, and category views
This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:
| Date | Product | Feature | Notes |
|---|---|---|---|
| 06 APR 2022 | Created initial document. |
HAVE AN IDEA?
We’re here and we’re listening. If you have a suggestion on how to make our cloud services even better then go ahead and tell us. There are several ways to submit your ideas, for example, through the Ideas Lab on Oracle Customer Connect. Wherever you see this icon after the feature name it means we delivered one of your ideas.
GIVE US FEEDBACK
We welcome your comments and suggestions to improve the content. Please send us your feedback at oracle_fusion_applications_help_ww_grp@oracle.com.
DISCLAIMER
The information contained in this document may include statements about Oracle’s product development plans. Many factors can materially affect Oracle’s product development plans and the nature and timing of future product releases. Accordingly, this Information is provided to you solely for information only, is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described remains at the sole discretion of Oracle.
This information may not be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. Oracle specifically disclaims any liability with respect to this information. Refer to the Legal Notices and Terms of Use for further information.
Custom Access Control and Privileges for B2B Storefront Users
In this Commerce release, we’ve included improved access control on the storefronts of B2B merchants to address the fact that, in many cases, B2B storefront users have very specific and distinct job roles that require access to different areas of a merchant's site.
These updates apply to controlling the access that an account’s contacts have to the merchant’s site. (For those new to B2B Commerce, an account is the B2B merchant’s customer, and a contact is an employee of the account.)
As a B2B storefront user, you can now define storefront roles that align with the day-to-day responsibilities of the contacts within your accounts, control account contacts’ access to specific areas of your site, define custom roles that can contain both access rights and privileges, and use two new privileges for managing roles and viewing account orders.
With this Commerce publishing update, you now have visibility into what has been published in the last week and which users were responsible for making those changes.
Capability highlights
- Provides an audit trail of changes on the storefront.
- Retrieve information on worksets published within the last 7 days.
- Obtain detailed information on all items changed in a workset.
- Filter results by author, asset type, change type.
NOTE: This is an API only feature.
Store Extension Promotion APIs
In this Commerce release, we’ve added Admin APIs for promotions to the Store API set to allow them to be called securely at storefront scale. Merchants can use the APIs to allow their Server-Side Extensions and integrations access to promotion data that you may not want exposed directly to the shopper.
Capability highlights
- Secure, scalable access to promotions endpoints from storefront
- Call using Application Keys
- Added APIs previously only available as part of the Admin API to the Store API set to allow them to be called securely at storefront scale:
- /ccapp/v1/promotions/getPromotion/[ID]
- /ccapp/v1/promotions/listPromotions
- Replace calls to /ccadmin/v1 with these new APIs
This Commerce Open Storefront Framework (OSF) release includes major library updates, such as React 16 to 17, and therefore considered a major new release of OSF.
Continuing to stay up to date with the latest OSF upgrade is important. As major upgrades may have potential backwards incompatibility impact, we are highlighting this release and the importance of testing.
Capability highlights
- Significantly reduced OSF application build times with esbuild bundler
- This is an experimental tool that we encourage storefront developers to try and continue to recommend rollup for production build + deploy.
- Out-of-the-box (OOTB) widget for promotional upsell messaging
Ability to tag the widget with one or more promotional messages, including Not Qualified, Partially Qualified and Success messages
- OOTB widgets and flows for CPQ Request Quote
- New 'Request Quote Button' widget available to cart and checkout layouts
- Flow for requesting the quote, adding notes to the quote, placing the order for modified or unmodified quotes
- When placing the quoted order, shopper cannot modify cart.
New Text Property on Saved Credit Cards
With this Commerce release, we’ve added a new long text property, additionalInfo, to saved credit cards. You can use this property to store any desired text data. This property can facilitate integrations with external systems, for example you can store an external system’s ID for the card.
Capability highlights
- Admin API support for reading and updating a card’s additionalInfo
- Admin API support for filtering the list of a profile’s cards by an additionalInfo value
- Agent and Storefront API support for reading additionalInfo
Triggering Abandoned Browse within Eloqua Campaign Actions Using Infinity
This Commerce update provides integration between Oracle Commerce, Infinity and Eloqua that allows merchants to react quickly to customer behaviours and deliver the right information at the right time, with tailored, brand-relevant campaigns. Marketers are now empowered to re-engage audiences through browse abandonment campaign emails.
Customers using this feature must have active licenses for Oracle Commerce, Eloqua, and Infinity and be using Oracle Commerce Open Storefront Framework.
Capability highlights
- Oracle Commerce events stream to Infinity for evaluation of buyer abandonment.
- An Infinity Action monitors Commerce behavior events to determine when the buyer has left the site.
- The Infinity Action will send the buyer and buyer browsing data to Eloqua upon abandonment.
- Eloqua will map the buyer and browse data into the Abandonment campaign and send the buyer a reminder email.
Eloqua Integration Improvements
The integration between Commerce and Eloqua provides merchants and marketers with tools to quickly react to market trends and customer behaviors and deliver the right information at the right time with tailored, brand-relevant campaigns
With this update, marketers are empowered to re-engage shoppers through cart abandonment campaigns and entice shoppers to complete the purchase with promotions or special discounts at the optimal time.
Customers using this feature must have active licenses for Oracle Commerce, Eloqua, and Infinity and be using Oracle Commerce Open Storefront Framework.
Capability highlights
- Enable delta event synchronization to send updates from Commerce to Eloqua immediately following contact creation or revision to obtain data for the campaign.
- View status and reports on these events from Commerce and actions to Commerce through Eloqua. The reports can be viewed in the Reports tab of the Commerce Connector application.
- Feed abandoned cart events from Commerce to enable Eloqua Campaigns via Feeder Service
- A Commerce Abandoned Cart Feeder has been developed to be used within an Eloqua campaign to read messages from Commerce and convert them to the required Eloqua format to perform an import of abandoned cart events.
- Trigger abandoned cart emails to reach out to prospective buyers
- Tag campaign information for every email click coming from Eloqua
- Eloqua campaign attribution details are now exposed from Commerce through Infinity
With the release of the new Audiences feature, you can recognize key recurring events, such as the anniversary of a customer’s registration or first purchase to create a more personalized relationship with each customer by commemorating these events and presenting relevant content and offers around these anniversaries.
Capability highlights
- Identify events with an anniversary today, this week, this month, or within a specified number of days.
- Present content and offers based on annual events, for example, a birthday or anniversary of first purchase.
- Define audiences based on proximity to recurring events.
Recommendations API for Headless
With this release, you can now include AI-driven personalized product recommendations in all of your applications – native mobile apps, headless web apps built with other front-end frameworks, and IoT applications as well. (Oracle Commerce automated product recommendations have previously only been available to web applications built using Open Storefront Framework (OSF) or Storefront Classic.)
The new Recommendations API works with all existing recommendations features including strategies and global exclusion rules.
The recommendation engine uses a machine learning core that has been trained for a wide variety of eCommerce models with a proven record of increased conversion rate and average order value.
Capability highlights
- Track shopper behavior to inform recommendations.
- Generate personalized one-to-one recommendations for every shopper in real time.
- Use out-of-the-box and custom recommendation strategies.
- Simple, efficient API to track behavior and fetch recommendations in a single network call.
- Offers shoppers an opportunity to discover new products they would not have found on their own.