Daily pipeline
A 19-step pipeline from worldwide trend data to design concepts, local adaptation, images, titles, descriptions, categories, pricing, similarity and quality checks.
AI daily-drop commerce platform
TrendCommerce
Global trends in, new designs published every day.
A commerce platform with a trend-intelligence pipeline: it gathers signals from world fashion capitals, scores them, adapts them for a local market and publishes new designs every day after human review. Built first as AURA JEWELS, for jewellery in India.
Where it is today MVP: the full storefront and admin run on deterministic mock providers
The problem
Catalogues react to trends weeks late
Spotting what the world is wearing, turning it into designs that suit a local market and writing every product listing is slow, manual work.
Built for
- Direct-to-consumer fashion and jewellery brands
- Retailers who want a faster trend-to-catalogue cycle
What it does
Capabilities
Human approval
Every design lands in a review queue and is published only after an admin approves it.
Storefront
Catalogue with filters, daily drop, a global trend index with city pages, a Design Lab, natural-language search, style quiz, wishlist and bag.
Admin console
Fifteen admin areas including the review queue, a pipeline runner and analytics.
Swappable providers
AI, search, payments and data sit behind interfaces, so mocks can be replaced by real providers without touching the storefront.
How it works
The flow
- Collect trends
- Analyse
- Identify
- Design concepts
- Adapt locally
- Images and copy
- Classify and price
- Quality checks
- Review queue
- Publish
Try it
Run one trend through the pipeline
Pick a sample trend signal and follow it to the review queue.
$ trend signal: sculptural gold cuffs (Milan)
- Analyse and score
- Signal rising across several capitals
- Marked high-potential
- Concept and adapt
- Three concepts generated
- Adapted for festive and wedding wear
- Listing
- Images, titles and descriptions generated
- Category, style and occasion assigned
- Price band recommended
- Checks
- ✓ Not a near-duplicate of the catalogue
- ✓ Quality checks pass
In the review queue
An admin approves before anything is published to the daily drop.
Simulated walkthrough with sample data. Nothing here connects to a live system.
Built with
Technology
- Next.js 16
- TypeScript
- Tailwind v4
- Prisma
- PostgreSQL
- zod
- Provider interfaces for AI, search and payments
Stated plainly
Limitations
- AI, payments and search run on deterministic mocks today; live providers are the next phase.
- Product visuals are procedural renders, not photography.
- Real trend ingestion needs licensed or public data sources agreed per customer.
See TrendCommerce on your environment.
Tell us where you are. An engineer replies with a proposal, not a sales script.
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