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Operations

Data Cleaning Pipeline

Raw Data to Clean Table

Normalizes and validates raw data from email attachments with AI and writes structured output to Google Sheets.

8 business days

Setup Time

-90% data errors

Expected Impact

Integrations Used

Integration Chain

4 steps

Email attachment → GPT cleaning → validation → Sheets output.

01Trigger
Gmail

Data file attachment received

02AI Analysis
OpenAI

AI format recognition and cleaning

03Process

Validation rules applied

04Output
Google Sheets

Clean data written to Sheets

All steps automatically verified

How It Works

What does this automation do?

Partners send data in different formats. AI recognizes raw data in email attachments, cleans it, and writes standard Sheets output.

Benefits

What does this flow deliver?

  • Manual data entry eliminated

  • Consistently high data quality

  • Analysis-ready datasets

4

Data Cleaning Pipeline

Live automation preview

-90% data errors

Data file attachment received

Gmail

Data file attachment to designated address triggers flow.

AI format recognition and cleaning

OpenAI

GPT recognizes CSV, Excel, or text and normalizes.

Validation rules applied

Required field and format rules applied.

Clean data written to Sheets

Google Sheets

Clean data written to target Sheets table.

Automation Complete

-90% data errors

Data Cleaning Pipeline | AI Turka