Hopted Calculated Columns: AI Categorization & Custom Formulas for Amazon Data in Google Sheets

For example, you may have your available inventory in one report and your current Amazon price in another report.

But if you want to estimate the total value of your available stock, you usually have to combine those numbers manually.

Hopted helps Amazon sellers bring Seller Central, Vendor Central, and Amazon Ads data into Google Sheets, and calculated columns make that data more useful by letting you create your own formulas inside the sync workflow.

In this guide, I will explain how Hopted calculated columns work, how to build a simple inventory value formula, and how AI formulas can help organize messy product titles into cleaner catalog labels.

Maximizing Data Transformation with Calculated Columns

Calculated columns are useful when the raw Amazon report does not give you the final metric you need.

Instead of exporting the data, adding formulas by hand, and repeating the same work every time the report updates, you can add a custom formula inside Hopted’s report setup.

This is helpful for metrics such as estimated inventory value, fee percentages, sales ratios, product-level KPIs, or any other calculation your team checks often.

The key benefit is consistency.

Once the formula is part of the sync setup, the report can keep applying that logic each time the data refreshes.

Step-by-Step Guide: Building a Custom Inventory Valuation Formula

A simple example is estimated inventory value.

If your sheet includes total available units from an inventory report and the current Amazon price from a listings report, you can multiply those two values to estimate the retail value of available stock.

Here is the basic workflow:

1. Open your sync setup: Go to the Hopted sidebar inside Google Sheets and edit the live data sync you want to improve.

2. Add a custom source: Scroll to the custom source area and choose the formula option.

3. Choose your fields: Select the inventory field and the price field you want to multiply.

4. Name the column: Use a clear label such as Estimated Inventory Value or Potential Inventory Value.

5. Save and test: Refresh the report and compare a few rows to make sure the calculation behaves the way you expect.

I would avoid calling this “guaranteed revenue” because it is only an estimate based on stock and price.

It does not account for conversion rate, ad spend, returns, fees, discounts, or whether every unit will sell at that price.

But as a planning metric, it can still be useful.

It gives your team a quick way to understand the potential retail value sitting in inventory.

Deploying AI Formulas for Catalog Classification

Calculated columns are not limited to basic math.

Hopted also has AI formula options that can help clean up or classify text fields, such as product titles.

This can be useful when your catalog has long, messy titles and you want cleaner labels for sorting or filtering.

For example, you could ask the AI formula to review a product title and return one simple category label.

That can help turn a large catalog into cleaner groups, especially when product names are inconsistent.

How to Create an AI Classification Column

Start by making sure your sync includes the product title or product name field from Amazon.

The AI needs that text as the base input.

1. Add the text field: Include Product Name, Product Title, or the closest available title field in your Hopted sync.

2. Add an AI formula column: Choose the AI formula option from the custom column area.

3. Write a clear prompt: For example, “Categorize this product title with one single-word label.”

4. Reference the title field: Insert the product title variable into the prompt so the AI knows what text to analyze.

5. Save and review: Let the sync run, then check the generated labels before using them for reporting decisions.

The prompt matters.

If you want one-word labels, say that clearly.

If you want the AI to choose from a fixed list of categories, include that list in your instruction.

After the labels appear in Google Sheets, you can use normal spreadsheet tools to sort, filter, or turn the labels into dropdown-style options for easier review.

Calculated Columns vs. AI Formula Columns

Use regular formula columns when you need predictable math.

Use AI formula columns when you need the system to interpret text or classify information.

Both are useful, but they solve different problems.

Math formulas are best when the logic is exact.

AI formulas are better when the data is messy and needs interpretation.

Best Practices Before You Rely on the Results

Before using calculated columns for decisions, test them on a small group of products first.

• Check that each source field is coming from the correct Amazon report.

• Confirm that formulas handle blank or missing values properly.

• Compare a few calculated results manually before trusting the whole sheet.

• Review AI labels for accuracy before using them in reporting filters.

• Keep column names clear so your team knows what each metric means.

This keeps the workflow practical.

You get automation, but you still keep human review where it matters.

Final Thoughts: Start With One Formula That Saves Time

Calculated columns are most useful when they remove a task your team repeats often.

So do not start by building a complex system.

Start with one formula that gives you a clear business answer, such as estimated inventory value, a fee percentage, or a clean product category label.

Once that first column works, you can expand the sheet with more formulas, AI labels, and custom views.

That way, Hopted becomes part of a cleaner reporting workflow instead of just another tool connected to your account.