Industry hub · Office services & supplies data provider

Office Services & Supplies Data Provider

Datadory covers office services & supplies data provider with 2 datasets spanning Kaggle - Superstore Sales Dataset and Office Depot / OfficeMax Product Catalog (Structured) . Delivered daily, weekly, or hourly — your call.

2 datasets 2 publishers Delivery: API, files, or your warehouse. Daily, weekly, or hourly.

The manifest

Every catch in this slice, ranked by our quality rubric — depth of documentation, freshness, breadth. Pick one, sample it, ship it.

#1 Kaggle

Kaggle - Superstore Sales Dataset

Coverage
United States
#2 Office Depot, LLC

Office Depot / OfficeMax Product Catalog (Structured)

Coverage
United States retail assortment

The lay of the water

Where office services & supplies data provider data actually comes from.

Pick your catch

Three to start with. The rest of the board is above.

Office services & supplies data provider United States · 2015-01-03/2018-12-30

Kaggle - Superstore Sales Dataset

Row ID · Order ID · Order Date …+15 more

Office services & supplies data provider United States retail assortment · Live assortment and prices at time of…

Office Depot / OfficeMax Product Catalog (Structured)

sku · name · brand …+11 more

Who fishes here

Six personas work this shelf, and each gets a dedicated page:

Frequently asked questions

Where can I get office supplies sales data?
Start with the Kaggle Superstore Sales Dataset in the Datadory catalog: 9,800 US superstore order lines spanning January 2015 to December 2018 in one flat table, including 5,909 rows tagged Office Supplies with sales values, customer segments, product hierarchy and four regional dimensions. Request a sample and the rows ship cut to your window, with the field dictionary attached.
How many office supplies products does Office Depot list online?
About 49,466 across 1,509 categories at the August 2026 review pass, spanning office supplies, paper, ink and toner, furniture, technology, printing services and promotional products. The Paper branch alone carried 2,802 items, which tells you how deep the high-turnover consumable categories run.
Is the Superstore dataset good enough for machine learning?
For teaching, prototyping and portfolio work, yes: 9,800 rows by 18 columns with order dates, ship mode, segment, region, category, sub-category and sales — the classic forecasting and segmentation bench. For production modeling it falls short on three counts: the window ends 30 December 2018, it covers one fictionalized retailer rather than the market, and it never changes. Pair it with the shelf record and the agency neighbors when a model has to meet the present.

See the rows before you commit

Any catch on this board, sampled against your own question. API, files, or your warehouse. Daily, weekly, or hourly..