Sprint 100 marks a milestone — our 100th sprint of Icecat Studio development. This release delivers three major features: full variant versioning with campaign naming and publication scheduling, Group Actions rollout, and a redesigned AI image editing experience in the Sandbox.
We have completed a major development phase for story variant versioning, enabling brands to run time-sensitive marketing campaigns directly from Icecat Studio.
Campaign Story Variants
The Add and Copy Story Variant flows now include a “Create campaign story variant” toggle.
When a variant slot (e.g., Standard) is already occupied, the system automatically prompts the user to supply a campaign name, producing named versions such as Standard – Black Friday.
Regular and campaign versions of the same variant type can coexist, and all variants remain available in the selection dropdown.
If there are two or more variant versions – the latest approved story is prioritized for publication.
Publication Scheduling
A new “Publication schedule” action opens the Publication Settings modal, where users can configure the start and end date/time of a story’s publication. Scheduled stories are marked with a calendar icon in the Stories table, including an active-publication indicator and a tooltip showing who configured the schedule and when publication starts or ends.
On the backend, an hourly job processes scheduling constraints for the Icecat Network channel: if a variant has an active scheduled period, it takes absolute publication priority; otherwise, the system falls back to the standard variant priority order. The submission progress bar also reflects scheduling — an approved story with a future schedule displays a schedule icon until the publication window begins, at which point the story publishes automatically.
The Sandbox Image Editor received a significant user experience upgrade, consolidating all image-specific operations into a single, predictable workflow:
We finalized the Group Actions feature on the Assets Search Page. Authorized users can now select multiple assets — per page or across the entire filtered dataset — and trigger bulk Submit, Republish, or Generate Output operations. The release includes safety constraints for Amazon-channel content, confirmation modals, progress indication, background processing with toast notifications, and audit logging in the Report Log.
The AI Assistant can now author Product Stories end-to-end:
Attachments: Users can attach data files, images, and video to assistant messages.
Story Creation: Through a guided, confirmed flow, the assistant maps source content onto the layout’s component catalog — respecting slot types, length limits, and the asset’s language — and reports per-component results.
Documentation Knowledge: We are adding search tools over the official user documentation, enabling the assistant to answer “how do I…” questions with links to relevant articles.
We strengthened the security of asset access:
We are developing on-request index file generation. Users of our endpoints will be able to request an XML or JSON index of all stories grouped by assets, filtered by text-based parameters such as brand and category. Generation runs asynchronously, with endpoints to initiate a request, track its status, and download the resulting file.
With the A+ Premium API beta approaching, we studied the latest documentation and completed our setup ahead of the launch date. Initial content push attempts returned validation errors, which we reported to Amazon and are awaiting recommendations. We also requested a dedicated test Vendor Central environment for development purposes.
Based on brand partner feedback on importing SVG modules into the Sandbox, we analyzed the most frequent blockers and formed an improvement roadmap:
In Sprint 101, we plan to enter Amazon A+ Premium API beta testing, continue AI Assistant development, ship the gradient feature and investigate shadow support for SVG import, advance the Custom Index File, expand auto-imports, continue the Advanced Preview migration to Framework v2, and investigate MCP capabilities.
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