$150K
Revenue influenced in 3 months
2x+
Booking conversion rate for AI-engaged guests
3,000+
Guest conversations handled, zero headcount
Purple Flower
About the company
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AYANA

Implementation Timeline
Weeks 1–2
Knowledge ingestion and conversation design
We indexed room categories, pricing tiers, amenity rules, dining menus, and activity details across all four AYANA properties. Conversation flows were mapped for the five most common guest inquiry types.
Weeks 3–4
Multi-language tuning and API integration
Native speakers validated tone and vocabulary in Indonesian, English, Mandarin, Japanese, and Korean. We connected the chatbot to AYANA's live pricing API so it could quote accurate rates and redirect to booking.
Week 5
Internal testing with AYANA's concierge team
AYANA's guest relations staff ran hundreds of test conversations, flagging edge cases around cross-property questions, guest-vs-prospect logic, and seasonal pricing. Each issue was resolved before launch.
Week 6
Live deployment on WhatsApp
The AI concierge went live on AYANA's WhatsApp Business line, handling real guest inquiries 24/7. Response times dropped from hours to seconds with zero additional headcount.
Metric
Before
After
Response time
Hours, limited after-hours coverage
Under 5 seconds, 24/7↑ Instant
Booking conversion rate
Baseline
2x+ for AI-engaged guests↑ 2x
Revenue influenced by AI
$150,000 in first 3 months↑ $150K
Bookings facilitated
300+ in 3 months↑ 300+
Languages supported
Team-dependent, business hours
5 languages, native fluency, 24/7↑ 5 langs
Previous automation
None
Full AI concierge: rooms, spa, dining, transfers

The Challenge

AYANA's in-person service is world-class. The pre-arrival digital experience, where a prospective guest decides whether to book, had three structural problems.

01

Around-the-clock demand from a global guest base

Guests from Japan, China, Korea, Australia, and Europe inquire outside Bali business hours. A Japanese couple researching villas at 11pm Tokyo time would wait hours for a reply by email. Many had already booked elsewhere by the time AYANA's team responded.

02

Four-property estate with context-dependent answers

AYANA is four distinct properties with different room types, pricing tiers, dining venues, and amenity access rules. A question like "Can I use the pools?" requires knowing which property the guest is asking about and whether they're a confirmed or prospective guest.

03

Multilingual expectations that go beyond translation

International guests communicate in Indonesian, English, Mandarin, Japanese, and Korean. They expect native hospitality terminology and register, not machine-translated English. Maintaining that across five languages, 24 hours a day, was operationally impractical.

30-50/day

Inquiries, handled manually

Hours

Average response time

None

Previous AI or chatbot

Stretched

Staff during peak season

Prepare your CSV file

Make sure your file is exported as a "CSV" file, also known as a "Comma Separated Values" file. If you encounter any issues you'll want to verify your file is UTF-8 encoded and less than 5mb. If your file is larger than that, try removing columns you may not need. See below for additional information on specific fields.

Tip: You do not have to import every column from your CSV. Only fields set up in your CMS collection in the next step will be imported.

Rich Text Fields

Formatted text content needs to be formatted as HTML. Many tags are supported, such as paragraphs and headers <p>,<h1>, <h2>), formatting (<em>, <i>, <strong>), links (<a>), lists (<ol>, <ul>, <li>) and images (<img>). Images from URLs will be automatically downloaded from their original source and imported into Framer.

Image Fields

Images in your CSV content must be URLs to an image. They will be downloaded and imported into Framer. Relative paths are not supported.

Date Fields

Recommended format is ISO8601 compliant, for example: 2023-12-17T14:42:00. The shorthand value of year-month-day is also supported, for example: 1982-12-01. Long format strings may work, but will depend on your browser, for example: Tue May 12 2020 18:50:21 GMT-0500 (Central Daylight Time). All time data, including time zone information, will be stripped from the date.

Color Fields

A color formatted as CSS hexadecimal RGB code, rgb, hls or hlv expression, or a named color. All variants with an alpha value are also supported. Examples: #00ffee, rgb(0, 153, 255), hsla(204, 100%, 50%, 0.5), blue, darkgreen, rebeccapurple.

Toggle Fields

A boolean value. Y, yes, TRUE, 1 will be interpreted as the toggle being "Yes", all other values will be "No".

Prepare your CMS Collection

Here is a checklist to prepare your CMS collection for importing.

  1. Verify each field/column in your CSV has a matching field in your CMS collection with the same name.

  2. Include a unique field for each item, often named "Slug"

  3. Verify that your data types match (eg. a CMS Date field for a date field in your data)

Tip: Framer uses your Slug field to identify each item, and will use it to update that item with repeat imports.

Import your CSV file

You can find the Import feature by going to the CMS in your project, and clicking "Import" in the toolbar. From there, you can select your CSV file for importing. You may also drag & drop your CSV file directly into the CMS collection interface.

Tip: Importing supports Undo / Redo actions. If you're not happy with the import, you can simply undo the change with CMD+Z on MacOS or CTRL + Z on Windows. Redo will not re-run the import, but instantly apply the changes to the collection.

Updating or Re-Importing

To update your content, you can import into the same collection again. If any item in the new import has a slug field that matches one of the items in your collection, you will be able to update it or skip importing it again.

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