AI app for operations · no coding needed
FitCycle Underwear Service
A fit profile that improves with every pair, based on actual wear feedback, not just initial measurements.
Made for: Operations leads at direct-to-consumer underwear brands
What it does for you
The problem
Underwear fit is guessed, not measured, so returns and churn stay high.
What it gives you
Personalised fit profile, approved design, auto-replenishment schedule
What you give it
Customer photos (frontside)style preferencesvoice feedback on fit
How it works, step by step
- Estimate body measurements from two photos
- Map measurements to size and cut
- Generate pattern and colour options
- Capture voice feedback on fit
- Predict replacement date from wear cycle
- Adjust next order based on feedback
What you see on screen
- Photo intake
- fit recommendation
- design studio
- replenishment 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 FitCycle Underwear Service 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 FitCycle Underwear Service 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 build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare20 KB
- prompt-vps.mdThe same build on your own server (Docker)20 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data202 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 operations leads at direct-to-consumer underwear brands, turn customer photos, style preferences and wear feedback into a personalised fit profile and auto-replenishment schedule. Address the recurring problem: underwear fit is guessed, not measured, so returns and churn stay high. The value hypothesis is a more accurate fit and a predictable replacement cycle; the pilot must establish whether customers trust photo-based sizing enough to subscribe.
Upload photos, consent to processing, receive fit recommendation, approve or tweak design, receive first pair, give voice feedback, and receive auto-replenished pairs. Start with customer photos and style preferences and finish with a personalised fit profile and replenishment schedule.
How the AI works
Use a vision model to estimate measurements from photos and a generative model to create designs. Keep size and cut decisions in structured fields. A human fit specialist reviews borderline cases and confirms design quality before production.
Safeguards
Photo deletion after measurement, explicit consent before processing, no storage of raw images, human review of borderline fits, and a hard stop on using photos for any purpose other than sizing.
What to build first
One buyer, one use case: photo-based sizing for a single underwear line. First two modules: photo intake and fit recommendation. Manual review of all borderline fits. No generative design yet.
What it can connect to
E-commerce platform (Shopify), print-on-demand API, customer support ticketing, and payment provider.
The screens in detail
Use a guided upload flow with privacy consent, a recommendation card showing size and cut, a design canvas for pattern and colour tweaks, and a calendar view of predicted replacement dates. Show fit confidence and allow voice feedback on each pair. In this product, the first view is photo intake, followed by fit recommendation, design studio and replenishment dashboard.
