AI app for operations · no coding needed
FitCycle Shoe Rotation
A size profile that improves with every keep and return, tied to a managed swap loop.
Made for: Operations leads at fashion rental and subscription services
What it does for you
The problem
Shoe subscriptions fail because sizing is unreliable and returns are costly.
What it gives you
Personalised monthly shoe rotation, size-matched recommendations, managed swap logistics
What you give it
Foot photosstyle quiz answerscalendarweather data
How it works, step by step
- Extract foot measurements from photos
- Predict size across brands from profile
- Suggest three pairs based on calendar and weather
- Schedule pickup and next delivery
- Track keep or return decisions
- Update profile from every outcome
What you see on screen
- Foot scan upload
- size profile dashboard
- monthly rotation queue
- swap scheduler
- keep or return review
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 Shoe Rotation 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 Shoe Rotation 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 criteria14 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 operations leads at fashion rental and subscription services, turn foot photos, style preferences and wear context into a personalised monthly shoe rotation with size-matched recommendations and managed logistics. Address the recurring problem: shoe subscriptions fail because sizing is unreliable and returns are costly. The value hypothesis is a lower return rate and higher keep rate; the pilot must establish whether the size prediction and swap coordination genuinely reduce friction.
Upload foot photos, complete style quiz, receive size profile, review monthly suggestions, approve three pairs, wear and swap, and settle keep or return. Start with foot photos and style quiz and finish with a personalised monthly shoe rotation and size-matched recommendations.
How the AI works
Use vision models to estimate foot dimensions from photos and language models to interpret style quiz and calendar context. A human reviewer checks size predictions against known brand charts and confirms logistics details before dispatch.
Safeguards
Limit swaps per month, require photo quality checks, restrict access to size profile data, and log all logistics actions. Must not share foot measurements without consent.
What to build first
One buyer, one use case: operations lead at a clothing rental service. First two modules: foot scan upload and size profile dashboard. Manual review of size predictions and swap scheduling.
What it can connect to
Calendar apps, weather APIs, shoe brand size databases, courier and logistics systems, and payment processing.
The screens in detail
Use a guided upload flow for foot photos and style quiz, a profile view showing predicted sizes across brands, a queue of three recommended pairs with event and weather context, and a scheduler for pickup and delivery. Show swap status and keep or return decisions. In this product, the first view is foot scan upload, followed by size profile dashboard and monthly rotation queue.
