When new and/or updated booking revenue distribution in Smily, sync it to SQL Server.

Sync booking revenue distribution updates from Smily to SQL Server tables.

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

Smily Explore Smily →

Triggers

New booking made

Fires when a new booking or appointment is made in Smily.

Booking rescheduled or canceled

Fires when a booking in Smily is changed or canceled.

New customer

Fires when a new customer books for the first time in Smily.

Actions

Create a booking

Creates a new booking or appointment in Smily.

Cancel or reschedule a booking

Cancels or moves a booking in Smily.

Create or update a customer

Creates or updates a customer record in Smily.

Add the booking to a calendar

Adds a booking from Smily to a connected calendar.

SQL Server Explore SQL Server →

Triggers

New row inserted

Fires when a new row is added to a table in SQL Server.

Row updated

Fires when an existing row changes in SQL Server.

Query result ready

Fires when a scheduled query in SQL Server finishes running.

Actions

Run a query

Runs a SQL query against SQL Server and returns the result.

Insert or update a row

Writes a new or updated row to SQL Server.

Sync a table

Syncs a table in SQL Server with data from another source.

Log new bookings into central analytics database rows When a new booking is made in Smily, automatically insert a corresponding record row in SQL Server for real-time revenue and capacity reporting. See details

Create customer profiles in scheduling apps from database inserts When a new customer row is inserted into SQL Server, automatically create or update the client account in Smily to streamline future bookings. See details

Update database entries when appointments are canceled or rescheduled When an appointment is rescheduled or canceled in Smily, automatically update the matching database record in SQL Server to maintain accurate scheduling metrics. See details

See all Smily + SQL Server integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “When new and/or updated booking revenue distribution in Smily, sync it to SQL Server.” between Smily and SQL Server?

Yes — describe it in the box above and Knit's Integrations Agent researches Smily and SQL Server's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

Why sync booking platforms with data warehouses?

Linking SQL Server and Smily ensures all customer appointments and schedule changes are backed up for reporting, business intelligence, and centralized customer tracking.

Can database updates drive customer appointment scheduling?

Yes, when new records are added or updated in SQL Server, matching customer profiles and bookings can be created automatically in Smily.