Order notes

Pull the order notes that need someone to act before the order ships.

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
`order_id`	Order ID
`note`	The note the customer added at checkout

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
`note_type`Pick one	What kind of note is this?	gift message Text to print or include for the recipient delivery Where or when to deliver product request A change to the items: swap, add, remove complaint A problem with a past order other Anything else
`needs_action`Yes or no	Does the note ask the store to do something before shipping?	yes It asks for an action before shipping no It needs no action
`date_given`Yes or no	Does the note give a date the order must arrive by?	yes It gives a date or deadline no It gives none

Example row

Column	Value
`order_id`	#10510
`note`	It's a birthday gift, please leave out the invoice and make sure it arrives by Oct 3.

Answers from a test run on this row

Column	Answer	Confidence
`note_type`	delivery	74%
`needs_action`	yes	93%
`date_given`	yes	99%

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`
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`
Product listing quality check	Audit product titles and descriptions for missing attributes and mismatches before a marketplace or Google Shopping feed goes live.	`title_complete` `category_fits` `promo_text` `description_matches`