Data sources

Start with the exports the hotel already has

Phase 0 runs on uploaded Excel or CSV reports. API connections replace uploads one system at a time, and the engine doesn't care where a row came from.

PMS · reservations

3 years uploaded · 98.6% rows clean Level 1 · upload

PMS · on-the-books snapshot

Daily export · 41 snapshots so far Level 1 → 2

Channel manager · rate push

Partner request sent, awaiting pilot slot Level 3 · pending

POS · F&B

Last upload 31 hours ago Level 1 · upload

Rate shopper · comp set

5 hotels · 365 nights forward Licensed feed

Event calendar

13 events · 4 awaiting confirmation GM signs

Thai holidays & weather

Pulled automatically Ours

Website / GA4

Not connected Optional

Connection statuses are mock examples of what the hotel would see during phase 1.

Try the upload mapper

A sample PMS export is loaded. Drop in any reservations CSV to see how its columns map. The file never leaves your browser.

Drop a PMS reservations export here, or click to choose CSV from Opera, eZee, Cloudbeds or any local PMS · names, phones and emails are stripped

1 Read · 4 rows
2 Map columns · 12 matched
3 Strip personal data · 2 columns dropped
4 Validate · ready to import

File

sample_pms_export.csv

Rows read

4 bookings · 1 cancelled

Required fields

All required fields found

Column in your file	Maps to	Example value
Conf No	`booking_id`	VD-24117
Guest Name	Personal data · dropped	•••
Booked On	`created_at`	2026-09-02
Arr. Date	`arrival_date`	2026-10-24
Dep. Date	`departure_date`	2026-10-26
Room Cat	`room_type`	DLX
Rate Plan	`rate_code`	FEST-NRF
Market	`segment`	Leisure
Source	`channel`	Agoda
Adults	`adults`	2
Room Revenue	`room_revenue_thb`	5320
Status	`status`	Confirmed
Nationality	`country`	TH
Mobile	Personal data · dropped	•••

Names, phone numbers and emails are dropped at upload and never stored. Target schema: booking_id, created_at, arrival_date, departure_date, room_type, rate_code, segment, channel, adults, room_revenue_thb, status, cancelled_at, country.