AI app for hospitality and events · no coding needed
Hospitality package designer
Operationally feasible packages with transparent cost assumptions.
Made for: Commercial managers at boutique resorts
What it does for you
The problem
Packages combine attractive ideas with inconsistent margins and availability.
What it gives you
Reviewed package specification and sales materials
What you give it
Approved room ratesactivity costssupplier restrictions
How it works, step by step
- Assemble package components
- Check date restrictions
- Calculate supplied costs
- Compare pricing assumptions
- Generate offer descriptions
- Track package performance
What you see on screen
- Package canvas
- eligibility rules
- margin scenarios
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 Hospitality package designer 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 Hospitality package designer 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 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 data196 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 commercial managers at boutique resorts, turn approved room rates, activity costs and supplier restrictions into reviewed package specification and sales materials. Address the recurring problem: packages combine attractive ideas with inconsistent margins and availability. The pilot measures reconciled package margin and booking conversion against the buyer's current method, before the larger build.
Validate baseline inputs, confirm definitions and constraints, select editable assumptions, calculate feasible alternatives, inspect sensitivities, let the responsible person approve a plan, and compare later actuals with the recorded assumptions. Start with approved room rates, activity costs and supplier restrictions and finish with reviewed package specification and sales materials.
How the AI works
Extract input context and explain scenario differences. Use deterministic calculations or explicit optimization for quantities, compatibility, dates and prices. Show uncertain assumptions. Never let generated prose silently change the calculation rules.
Safeguards
Verify property facts, availability and supplier conditions. Staff approve commercial exceptions and consequential booking changes. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.
What to build first
Begin with commercial managers at boutique resorts and one recurring use case. Build the first two modules: assemble package components; check date restrictions. Provide operator assistance for the third module: calculate supplied costs. Deliver reviewed package specification and sales materials through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.
What it can connect to
Property records, event schedules, reservation exports and supplier information. Read-only operational exports, calendars and finance or inventory records as relevant. Start with plan exports and retain human approval for execution. These are candidate integration categories, not verified supported connectors.
The screens in detail
Place editable drivers and constraints beside a clearly labeled scenario output. Include a baseline view, comparison chart or schedule, and an assumptions history. Let users trace a proposed quantity or date back to its inputs. Keep forecasts distinct from actual results. In this product, the first view is package canvas, followed by eligibility rules and margin scenarios.
