AI app for sales · no coding needed
PalatePilot Wine Club
A taste model that learns continuously from every sip, voice note and return, not just a one-time quiz.
Made for: Subscription wine club operators and busy hosts who buy wine online
What it does for you
The problem
Subscription wine services ship the same generic bottles to everyone, leaving customers with unwanted stock and high churn.
What it gives you
Personalised wine selection, shipment options, reorder schedule and taste profile report
What you give it
Tasting notesvoice feedbacklabel photosdining habitslocal weatheroccasion mentions
How it works, step by step
- Parse voice notes and label photos into structured taste attributes
- Build a dynamic taste profile from ratings and returns
- Generate three shipment options with predicted preference scores
- Adjust recommendations based on weather, occasion and dining context
- Trigger reorders when bottles are marked empty
- Log returns and feed corrections back into the model
What you see on screen
- Taste profile
- shipment planner
- feedback inbox
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 PalatePilot Wine Club 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 PalatePilot Wine Club 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 Cloudflare23 KB
- prompt-vps.mdThe same build on your own server (Docker)23 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 subscription wine club operators and busy hosts who buy wine online, turn tasting notes, voice feedback, label photos, dining habits and local weather into a personalised wine selection and reorder schedule. Address the recurring problem: subscription wine services ship the same generic bottles to everyone, leaving customers with unwanted stock and high churn. The value hypothesis is a more relevant, adaptive delivery that keeps members engaged and reduces cancellations; the pilot must establish whether the taste model predicts satisfaction well enough to retain users.
Capture feedback, update taste profile, cross-reference context, generate options, notify member, receive choice or auto-select, and dispatch with reorder trigger. Start with tasting notes, voice feedback, label photos, dining habits and local weather and finish with personalised wine selection and reorder schedule.
How the AI works
Use language models to interpret taste descriptors from voice and text, and image recognition for labels and food photos. Keep factual bottle attributes in structured fields. Validate shipping eligibility through deterministic checks. A human sommelier reviews borderline predictions and return patterns before shipment changes are applied.
Safeguards
Limit access to member data to authorised staff only. Require sommelier approval for any shipment change. Must not recommend alcohol to underage users or in prohibited regions. Log all model decisions and allow members to opt out of data collection.
What to build first
One buyer: a small wine club operator. One use case: monthly subscription selection. First two modules: taste profile builder and shipment planner. Manual review by a sommelier before each dispatch.
What it can connect to
Winery inventory APIs, shipping carrier systems, payment processors, weather data feeds, calendar and social media APIs.
The screens in detail
Use a dashboard for active subscriptions, a central profile view showing taste dimensions and confidence scores, and a right-hand panel for upcoming shipment options and user feedback. Let users compare three bottle suggestions side by side. Display auto-select, user-chosen and returned states. Provide a mobile-friendly voice note capture screen. In this product, the first view is taste profile, followed by shipment planner and feedback inbox.
