Product listing quality check

Audit product titles and descriptions for missing attributes and mismatches before a marketplace or Google Shopping feed goes live.

Run this on your file Download the template CSV

Columns to upload

Name the columns in your CSV like this. Extra columns are fine: every column of the row is sent with the questions.

Column	What it holds
`title`	Product title
`description`	Product description
`category`	Category in your feed

Questions

Each question adds a column to your file. The answer is one of the listed values, or Unsure when the model's confidence is below the cutoff: 70% for pick-one and scale questions, 80% for yes or no.

New column	Question	Possible answers
`title_complete`Scale	Count which of these three the title gives: a brand name, the product type, and a size, color or material.	has one or none of the three has two of the three has all three Lowest to highest
`category_fits`Yes or no	Does the category fit the product in the title?	yes The category matches the product no The category is wrong or too broad
`promo_text`Yes or no	Does the title or description contain promotional text such as sale, free shipping or best price?	yes It contains promotional text no It contains none
`description_matches`Yes or no	Does the description describe the same product as the title?	yes Both describe the same product no They describe different products or variants

Example row

Column	Value
`title`	FREE SHIPPING Wine Glasses
`description`	Set of 4 crystal Bordeaux glasses, 650 ml, dishwasher safe.
`category`	Home & Garden > Kitchen & Dining

Answers from a test run on this row

Column	Answer	Confidence
`title_complete`	Unsure	59%
`category_fits`	yes	91%
`promo_text`	yes	99%
`description_matches`	yes	89%

More ecommerce use cases

Use case	What it does	New columns
Product reviews	Find out what reviews say about each product and pick the ones you can quote on the product page.	`aspect` `sentiment` `defect` `quotable`
Product catalog tagging	Fill in missing tags and filters on a product catalog from titles and descriptions.	`audience` `season` `giftable` `description_quality`
Return reasons	Code the free-text reasons on returns and find the ones better product pages could prevent.	`reason` `preventable` `warehouse_fault`
Order notes	Pull the order notes that need someone to act before the order ships.	`note_type` `needs_action` `date_given`
Competitor product matching	Check whether the competitor listings you matched to your products are the same item before you compare prices.	`match` `same_size` `bundle`