AI app for operations · no coding needed
GrowthFit Clothing Cycle
A closed loop that predicts size, ships, validates fit, and resells outgrown items automatically, all in one subscription.
Made for: Parents of children aged 0 to 5 who buy clothes online
What it does for you
The problem
Parents guess sizes, juggle returns, and store piles of outgrown clothes.
What it gives you
Predicted size clothing boxes, resale listings, resale credits
What you give it
Child agecurrent sizestyle preferencesfit photos
How it works, step by step
- Enter child age, current size and style preferences
- Receive predicted next size with confidence level
- Review and edit box contents before dispatch
- Upload fit photo for AI analysis
- Approve resale listings and pricing
- Track credits and shipping labels
What you see on screen
- Child profile
- size forecast
- box review
- fit photo upload
- resale dashboard
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for GrowthFit Clothing Cycle with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds GrowthFit Clothing Cycle with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links1 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare22 KB
- prompt-vps.mdThe same build on your own server (Docker)22 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data195 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
For parents of children aged 0 to 5 who buy clothes online, turn age, measurements, fit photos and style preferences into predicted size boxes and automated resale listings. Address the recurring problem: children outgrow items every few months, making buying expensive and wasteful. The value hypothesis is a smoother, less wasteful clothing cycle with minimal effort; the pilot must establish whether parents trust the size predictions enough to stay subscribed.
Create child profile, set size and style, receive size forecast, review box contents, ship and receive box, upload fit photo, adjust model, list outgrown items, approve resale, and receive credits. Start with age, measurements and style preferences and finish with predicted size boxes and automated resale credits.
How the AI works
Use growth prediction models to forecast size changes based on age, past measurements and brand fit data. Use computer vision to analyse fit photos and confirm or adjust predictions. An AI agent drafts resale listings with dynamic pricing and generates shipping labels. A human parent reviews and approves each box and each resale listing before anything is used.
Safeguards
Parents approve all box contents and resale listings. The AI must not auto-ship or auto-list without approval. Fit photos are stored securely and never shared. Size predictions include confidence levels so parents can override. The system must not use child data for advertising.
What to build first
One buyer: parents of children aged 0 to 5. One use case: monthly box of pre-loved clothes in predicted size. First two modules: size forecast and box review. Manual review of fit photos and resale listings by a human stylist.
What it can connect to
E-commerce platforms for ordering, resale marketplaces for listings, shipping carriers for labels, and payment systems for credits.
The screens in detail
Use a dashboard with a child profile at top, a timeline of predicted growth and upcoming boxes, and a queue of outgrown items ready for resale. Let parents confirm or adjust box contents before shipping. Display fit status from recent photos and resale credits. In this product, the first view is child profile, followed by size forecast and box review.
