AI Import Wizard

Import customers, services, and appointments from another booking system using AI

AI Import Wizard

The AI Import Wizard helps you easily migrate your data from another booking system (Fresha, Treatwell, Square, etc.) to Bookinda. The artificial intelligence automatically recognizes file columns and maps them to the appropriate Bookinda fields.

Supported file formats

  • CSV (.csv) - comma, semicolon, or tab separated values
  • TSV (.tsv) - tab separated values
  • TXT (.txt) - text files with delimiter
  • Excel (.xlsx, .xls) - Microsoft Excel workbooks

The system automatically detects the delimiter character (comma, semicolon, tab).

How it works

Step 1: Upload file

Drag and drop a file onto the upload area, or click to browse. The system automatically detects the file format and shows a preview of the first few rows.

Step 2: AI analysis

Click the "Analyze with AI" button. The AI will:

  • Detect the source system (Fresha, Treatwell, etc.)
  • Automatically map columns to Bookinda fields
  • Assign a confidence score to each mapping
  • Display warnings if issues are detected

If you prefer not to use AI, click "Map manually" to set up field mappings yourself.

Step 3: Review and adjust

The AI-suggested mapping is shown in a table:

  • CSV column name - the original file header
  • Sample data - data from the first row
  • Maps to - the Bookinda field it's assigned to

Low-confidence mappings are highlighted in amber. You should review these. You can change any mapping using the dropdown, or skip a column ("Skip" option).

The Live Preview section shows how your data will look in Bookinda.

Step 4: Import

Click "Start Import". The system processes the data and shows a summary:

  • Imported (green) - successfully imported rows
  • Skipped (amber) - rows skipped due to duplicates or missing data
  • Errors (red) - detailed error information per row

Importable data

Customers

FieldDescriptionRequired
Last nameCustomer last nameYes
First nameCustomer first nameYes
EmailEmail addressNo
PhonePhone numberNo
Date of birthDate of birthNo
GenderMale/Female/OtherNo
NotesInternal notesNo
TagsComma-separated tagsNo
SourceCustomer sourceNo

Services

FieldDescriptionRequired
NameService nameYes
DescriptionDetailed descriptionNo
DurationDuration in minutesYes
PriceService priceYes
CategoryService categoryNo
ColorCalendar colorNo

Appointments

FieldDescriptionRequired
Customer name/emailCustomer identificationYes
Service nameBooked serviceYes
Staff nameAssigned staff memberNo
DateAppointment dateYes
Start timeStart timeYes
DurationDuration in minutesNo
StatusAppointment statusNo
PriceAppointment priceNo
NotesNotesNo

Recommended import order

For best results, follow this order:

  1. Customers - Import customers first, as appointments and sales reference them
  2. Services - Then services, as appointments are based on these
  3. Appointments - Finally appointments, which reference already imported customers and services

The system automatically looks up related customers and services by name or email address.

Supported source systems

The AI automatically recognizes export formats from these systems:

SystemAuto-detection
FreshaYes
TreatwellYes
SquareYes
PlanfyYes
SalonBizYes
OtherYes (generic CSV)

It can also process CSV/Excel files exported from any other system, with headers in Hungarian, English, or other languages.

Cost

The AI analysis cost is minimal: less than $0.001 per import. The amount is deducted from your AI credit balance.

Troubleshooting

"Could not recognize columns"

  • Make sure the first row of the file contains headers
  • Check that the file format is CSV, TSV, TXT, or Excel

"Missing required field"

  • Verify that required fields (e.g., name, email) are mapped to a column

"Duplicate email address"

  • If an email address already exists in the system, that row will be skipped
  • This prevents creating duplicate customers

"Invalid date format"

The system recognizes these date formats:

  • YYYY-MM-DD (e.g., 2026-04-13)
  • DD.MM.YYYY (e.g., 13.04.2026)
  • DD/MM/YYYY (e.g., 13/04/2026)

Where to find it

Settings > Data Import button (at the top of the page)

Or directly: /manager/settings/import

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