The need for automatic data enrichment arises in every team—spreadsheets that are mostly accurate but missing critical pieces of information. Maybe it’s a missing industry tag in a CRM export, or a region field that was never filled in during lead capture. Sometimes the team column is left blank in a company directory, or the category column is missing in a product catalog.
And when data is incomplete:
- Dashboards break
- Filters fail
- Segmentation stops working
You’re stuck manually guessing, Googling company names, or writing formulas to patch gaps one row at a time. The result is hours of cleanup, inconsistent entries, and lost opportunities.
With Sheetgo’s AI Data Processor, you can perform automatic data enrichment by intelligently filling in missing spreadsheet data using the information already present in each row. This isn’t just autocomplete—it’s context-aware enrichment powered by Artificial Intelligence (AI).
The Pain of Incomplete Data: The Manual Research Loop
A spreadsheet with empty columns isn’t just incomplete; it’s a productivity black hole. When you don’t have a system for automatic data enrichment, you’re left with only one option: manual research. This is the painful, repetitive cycle of:
- Seeing a blank cell (e.g., an empty “Industry” column next to a company name).
- Opening a new browser tab and searching for the information.
- Finding the data and copying it.
- Switching back to your spreadsheet and pasting it into the correct cell.
- Repeating the process for every single row.
This manual loop is fundamentally broken. It’s slow, breaks your focus, and is prone to inconsistency—one person might classify a company as SaaS, while another uses Enterprise Software. This guesswork creates a messy, unreliable dataset that undermines your ability to perform accurate analysis.
Sign up for Sheetgo
First, you’ll need a Sheetgo account. It’s free to get started, and the process takes less than a minute.
- >> Click here to sign up for Sheetgo
- Once you’re signed in, you’ll land on the main dashboard. From there, click the + Create workflow button and select Start from scratch to build your first automatic data enrichment workflow.
Use Case 1: Use Case 1: Automatic Data Enrichment for Sales Leads
The Scenario: A marketing team has a list of 500 company names from a recent trade show. To create targeted outreach campaigns for the sales team, they need to segment this list by industry, but that column is currently empty.
The Goal: To use automatic data enrichment to have the AI identify and fill in the primary industry for each company on the list.
Sample Google Sheets file
Our sample sheet represents a simple lead list. It contains two columns, Company Name, and Description.
1. Start Your Workflow : In your Sheetgo dashboard, click the + Create workflow button and select Start from scratch.
2. Click Select source. Choose Google Sheets and then find and select your spreadsheet named Trade Show Lead List. Make sure to select the tab containing the leads and click Next.
3. Click the (+) button below your source connection to add the next step. From the menu that appears, select AI data processing.
4. A configuration panel will appear. This is where you will give the AI its instructions. In the text box, paste the prompt specific to your goal. This is the most important step, as it tells the AI exactly what you want to achieve.
Based on the company name in the @Company Name column and Description in the @Description column, infer the company’s primary industry and place it in a new column called Industry.
5. Click the (+) button again and select Google Sheets as the destination. You can either choose to create a new spreadsheet and give it the name, or name continue within the current spreadsheet and select a new tab. Once done, click Finish and Save.
6. Immediately after saving, you’ll see a screen indicating that the workflow is running. A message at the top will confirm the workflow’s progress.
In just a few moments, your new, organized data is ready. To view your results, you have two easy options:
- From the Sheetgo Dashboard: Your destination file in the workflow view is now a clickable link. Simply click on it to open your new Google Sheet directly.
- In your Google Drive: Locate the Trade Show Lead List spreadsheet in your Google Drive. This spreadsheet now contains two tabs: one with your original data and another labeled Sheetgo_Leads (which you can rename) where the AI has seamlessly integrated an Industry column alongside your initial data.
Use Case 2: Use Case 2: Automatic Data Enrichment for HR & Onboarding
The Scenario: An HR team is onboarding a new batch of employees. Their spreadsheet has the employee names and their official job titles, but the “Department” column is blank. This information is needed for IT setup, payroll, and internal reporting.
The Goal: To perform automatic data enrichment by having the AI infer the correct department for each new hire based on their job title.
Sample Google Sheet
This sheet represents an onboarding tracker. It contains the Employee Name column and a Job Title column with various roles, Start Date column.
1. Start Your Workflow : In your Sheetgo dashboard, click the + Create workflow button and select Start from scratch.
2. Click Select source. Choose Google Sheets and then find and select your spreadsheet named New Hire Onboarding Tracker. Make sure to select the tab containing the list of new employees and click Next.
3. Click the (+) button below your source connection to add the next step. From the menu that appears, select AI data processing.
4. A configuration panel will appear. This is where you will give the AI its instructions. In the text box, paste the prompt specific to your goal. This is the most important step, as it tells the AI exactly what you want to achieve.
Read the @Job Title column. Assign each person to one of the following departments: Engineering, Sales, Marketing, or HR, and place the result in a new Department column.
5. Click the (+) button again and select Google Sheets as the destination. You can either choose to create a new spreadsheet and give it the name, or name continue within the current spreadsheet and select a new tab. Once done, click Finish and Save.
6. Immediately after saving, you’ll see a screen indicating that the workflow is running. A message at the top will confirm the workflow’s progress.
In just a few moments, your enriched spreadsheet is ready — each new hire now has a department assigned based on their job title. No guesswork, no back-and-forth with managers. Just fast, consistent classification that streamlines onboarding. To view your results, you have two easy options:
- From the Sheetgo Dashboard: Your destination file in the workflow view is now a clickable link. Simply click on it to open your new Google Sheet directly.
- In your Google Drive: Locate the New Hire Onboarding Tracker spreadsheet in your Google Drive. This spreadsheet now contains two tabs: one with your original data and another labeled Sheetgo_New-List (which you can rename) where the AI has seamlessly integrated a Department column alongside your initial data.
Use Case 3: Use Case 3: Automatic Data Enrichment for E-commerce Products
The Scenario: An e-commerce manager has a long list of new products to upload to their online store. Each product has a name, but the “Category” field is blank. This category is essential for website navigation, filtering, and sales analysis.
The Goal: To leverage automatic data enrichment to have the AI analyze each product name and assign it to the correct store category.
Sample Google Sheet
This sheet represents a new product import list. It contains a Product Name column with a variety of different items, and an empty Category column.
1. Start Your Workflow : In your Sheetgo dashboard, click the + Create workflow button and select Start from scratch.
2. Click Select source. Choose Google Sheets and then find and select your spreadsheet named Product Import – July 2025. Make sure to select the tab containing the list of new products and click Next.
3. Click the (+) button below your source connection to add the next step. From the menu that appears, select AI data processing.
4. A configuration panel will appear. This is where you will give the AI its instructions. In the text box, paste the prompt specific to your goal. This is the most important step, as it tells the AI exactly what you want to achieve.
Analyze the @Product Name column. In a new column called ‘Category’, classify each product into one of these categories: Electronics, Clothing, Home Goods, or Groceries.
5. Click the (+) button again and select Google Sheets as the destination. You can either choose to create a new spreadsheet and give it the name, or name continue within the current spreadsheet and select a new tab. Once done, click Finish and Save.
6. Immediately after saving, you’ll see a screen indicating that the workflow is running. A message at the top will confirm the workflow’s progress.
In just a few moments, your enriched product sheet is ready — each item is now labeled with the correct category, inferred intelligently from its name. To view your results, you have two easy options:
- From the Sheetgo Dashboard: Your destination file in the workflow view is now a clickable link. Simply click on it to open your new Google Sheet directly.
- In your Google Drive: Locate the Product Import – July 2025 spreadsheet in your Google Drive. This spreadsheet now contains two tabs: one with your original data and another labeled Sheetgo_products (which you can rename) where the AI has seamlessly integrated a Category column.
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