Video summary

#ProjectVisionCast | Adobe Summit Sneaks 2025

Main summary

Key takeaways

Technology

Summary

Project Vision Cast turns campaign-performance data into visual material for creative planning.

A fashion-brand analyst uploads a 3D product render and enters a search string. The system reviews the previous 12 months of campaign data to find relevant lifestyle images associated with strong engagement, click-through, and conversion rates.

The analyst can select images and generate mockups showing the new product in those settings, helping the team explore creative directions without manually editing the images. Vision Cast also creates a mood board and extracts visual attributes, such as textures and tones, alongside insights from the underlying data.

Results can be sent to Project Concept, where creative colleagues can continue brainstorming and develop campaign ideas. For larger collections, an automatic mode can process multiple product images and organize results into sections for easier review.

The central idea is to make performance insights easier for creative teams to understand and use—reducing reliance on spreadsheets and supporting data-informed ideation.

Reviews, Guides, or Tutorials

None; this is a product demonstration.

Main Speakers and Sources

Sam presents the analyst’s workflow. An event host introduces him, and Ken participates in brief onstage banter.

Rate this summary

Your feedback will help improve summaries.

Improve this summary

Reprocess with a stronger model when the summary feels incomplete or inaccurate.

Pro

Translate summary in another language

Pro

Ask questions to this video

Chat for follow-up questions, clarifications, and source-backed answers.

Coming soon

Share this summary

Original video