AI & Creative Workflows · Case Study
AI Fashion Trend Intelligence
Automated fashion trend discovery, analysis and visual direction dashboard powered by Gemini.
01 — The Challenge
Fashion trend research is scattered across news, runway coverage and social signals. Reading everything manually is slow, and by the time a picture emerges, the moment to act on it has often passed. What is missing is a way to turn that constant stream of information into clear, usable trend directions.
02 — The Solution
AI Fashion Trend Intelligence is an automated trend-research workflow that discovers emerging fashion directions, curates visual moodboards and structures trend data for forecasting. Gemini analyses current fashion news and distils it into named trends, each with a description, target audience, key garments and a colour palette.
A Google Apps Script backend runs the research and stores the results, and the dashboard pulls real data from that backend — every trend card, statistic and moodboard on the page reflects an actual research run, not static mock content.
03 — Tools & Workflow
- Google Gemini
- Analyses current fashion news and converts it into structured, named trend directions.
- Google Apps Script
- The backend automation that runs the research, calls Gemini and stores results.
- React
- The component model behind the live dashboard interface.
- TanStack Start
- The full-stack framework serving the dashboard.
- Tailwind CSS
- The utility-first styling system for the dashboard layout.
04 — Discovered Trends · Moodboard
Each discovered trend is documented as a moodboard spread combining the written analysis with curated visual references. Two examples from the current research run are shown below.
05 — Outputs
Live Dashboard
A live web dashboard presenting discovered trend cards, statistics and the status of the research automation, updated from real backend results.
Moodboard PDF
A downloadable visual moodboard documenting each discovered trend with target audience, key garments, colour palette and visual references.
06 — Results
The workflow turns an open-ended research question into a repeatable process: current fashion news goes in, and structured, visually documented trend directions come out. Because the dashboard reads live backend results, each research run refreshes the picture of what is emerging.
The project shows where AI adds the most value in trend work — not as a replacement for judgement, but as a processing layer that converts a constant stream of information into concise, comparable directions a designer can act on.