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Trust & CompanyAnn Taylor Catalogue, Size-Level Stock & Pricing Dataset
Ann Taylor's US catalogue captured size by size — 29 columns covering price, sale price, final price, stock flag, SKU, colour, size, category, ratings and image URLs, with one row per size and colour.
Size-level stock is where the demand signal sits. In the supplied sample — suiting and shirts at $89.50 to $98 — 22 of 50 size rows were already out of stock, on styles with 500-plus ratings.
The file already exists, because this pipeline runs once a month whether you buy it or not. Most vendors start collecting after you order — which is why they quote a lead time. Here the most recent file is in your account within minutes of payment, with an API key issued at the same time.
What you get, in plain terms
Four things. This is the workwear shelf of a US mall brand, at the level where sell-through is visible.
One row per size and colour
The file is at variant level, not product level: every size and colourway of a style is its own row with its own SKU and stock flag, so you can see exactly which sizes are still buyable.
Ratings as a demand proxy
Num Ratings and Average Ratings sit on every row — one sampled shirt carried 504 ratings — so popularity and sell-through can be read together.
Style and SKU both kept
PID identifies the style and SKU the exact size-colour, so the file rolls up or drills down without extra work.
However you want it
Direct download, REST API, Amazon S3, Google Cloud, Snowflake or SFTP. The API key comes with the dataset.
Fields included in this dataset
All 29 columns, in the exact order they appear in the file — taken straight from the sample, not from a brochure. The free sample ships with a data dictionary giving an example value for each one.
Sample rows from the real file
Real rows from the sample file, not an illustration. The supplied sample has 50 variant rows with all 29 columns.
Coverage
Captured monthly across anntaylor.com. One row is one size-colour variant, identified by its SKU, with the style in PID.
| Metric | In the supplied sample | What it tells you |
|---|---|---|
| Variant rows | 50, all unique SKUs | Across 3 styles |
| Categories | Suits 39 · Tops and blouses 11 | Ann Taylor's workwear core |
| Out of stock | 22 of 50 size rows | Nearly half the size runs already broken |
| Price range | $89.50 – $98 | List and final price identical in this sample |
| Ratings | On all 50 rows | Up to 504 ratings on one style |
IsOnSale · Discount |
0 of 50 | Not populated — see the FAQ |
Only tracking suiting, dresses or a set of styles? Send the list and we will price a narrower file.
Historical data
The last 30 days come with the dataset. Beyond that we hold Ann Taylor records from February 2025 onwards.
Ask about historical dataNeed more data points?
We can extend this dataset beyond the standard 29 columns — a populated sale flag and first-seen date per style are the most requested additions.
Request custom fields“Half the sizes on their bestselling suit were gone before we had even reordered ours. Monthly size-level data is how we caught it.”
What people use this dataset for
Retail and brand pricing teams
Benchmark list prices, markdown depth and timing against a competitor's live catalogue.
Merchandising and planning
See assortment width, size depth and what is already out of stock, category by category.
Marketplace and resale sellers
Track which styles, colours and sizes disappear first to shape your own buys.
Data and AI teams
Train product matching, attribute extraction and pricing models on clean, structured catalogue data.
About Ann Taylor catalogue data
Ann Taylor is a US womenswear brand built on workwear — suiting, blouses, dresses — sold through its own site and stores. Its catalogue is a useful benchmark for anyone selling to the same customer.
Size-level stock is the signal
Of 50 sampled size rows, 22 were out of stock. That is the measure that matters: a style can look available while the sizes that actually sell are gone. Because every size is its own row, you can watch a size curve break over the weeks.
Ratings alongside stock
Every row carries the style's rating count and average — 504 ratings on one shirt at 4.0. Reading that with the stock flags separates “popular and selling through” from “listed but quiet”.
Two things to plan for
IsOnSale, Discount, Keywords, Manufacturer and UPC or EAN came through empty on every sampled row; use Price against Final Price to detect markdowns. Alternate Image URLs is filled on 29 of 50 rows.
Is collecting this data legal?
Collecting publicly visible product and price information is generally lawful in most jurisdictions. Actowiz collects only public pages, respects robots.txt and platform terms, holds no personal data, and aligns with GDPR and CCPA. We are ISO 9001 and ISO 27001 certified, and this dataset carries documented provenance so your legal team can review the source before you buy.
Frequently asked questions
Price with Final Price. The IsOnSale and Discount columns came through empty on every sampled row, so the arithmetic is the reliable test.
SKU and stock flag; PID groups them back into a style.
