Purchasing desk email and PO change threads, industrial equipment maker

Summary

Fifteen years of purchasing and planning mail from one maker of industrial pumps and fluid handling skids, joined to the purchase orders, receipts and vendor records each thread is about. It captures expediting, PO change negotiations, supplier delay notices, substitutions and first article disputes as they really happen. Suppliers, customers, people and all prices are replaced with placeholders. The archive closes in 2025 and is not refreshed.

Collected to order. We collect it from US companies for your order. Scope, volume and timing are confirmed in writing before you sign.

Pricing on request

Request scope and pricing

At a glance

  • Planned scope. Volume, sources and timing are confirmed in writing before you sign.
Records
3.9Memails, purchase orders, receipts and documents
Size
10.4 GB
Tokens, estimated
1.1B
Years
2011 to 2025
Firms
1
Owner profile
One US industrial equipment manufacturer, 150 to 300 staff
Industry
Manufacturing
Data type
Logistics and supply chain
Headcount
150 to 300 staff
Region
United States
Languages
English
Formats
JSONL, Parquet
Updated

Sources

SystemKindRecords
Microsoft 365 mailEmail3.1M messages
NetSuiteAccounting and ERP164K purchase orders, 590K receipts
Shared drivesShared files38K supplier agreements and first article reports

Good for

  • training procurement agents to expedite late purchase orders and negotiate dates
  • extracting promised dates, quantities and change requests from supplier email into PO updates
  • evaluating supplier risk reasoning across years of delivery history
  • testing long-context retrieval over threads that span quotes, POs and receipts

Fields

FieldTypeDescription
thread_idstringEmail thread id
po_numberstringPurchase order the thread is about
vendor_codestringPlaceholder for the supplier
topicenumexpedite, PO change, delay notice, substitution, quality issue or invoice question
messagesintMessages in the thread
first_message_attimestampFirst message in the thread
last_message_attimestampLast message in the thread
promised_date_changesarray<string>Each promised date the supplier gave, in order
excerptstringBody of the latest message, quoted text stripped

Example record

{
  "thread_id": "TH-2021-044817",
  "po_number": "PO-118862",
  "vendor_code": "[COMPANY_31]",
  "topic": "delay notice",
  "messages": 9,
  "first_message_at": "2021-09-02T08:14:00-05:00",
  "last_message_at": "2021-10-12T15:51:00-05:00",
  "promised_date_changes": [
    "2021-09-24",
    "2021-10-15",
    "2021-11-05"
  ],
  "excerpt": "[PERSON_8], the 6 in ANSI 300 flanged ball valves now show 11/5 ship from the factory. That puts the [SITE_3] skid past its ship date. Can you split the order and send the 4 in valves you already have on the shelf? Please also confirm the WCB bodies come with 3.1 material certs, our customer rejects without them."
}
One record, de-identified. Placeholders such as [PERSON_12] and [COMPANY_4] stay the same across the whole dataset, so threads still read correctly.

Licenses available

  • Exclusive

    One buyer. Nobody else can license it during the exclusive term, usually 2 years.

  • Non-exclusive

    Licensed to more than one buyer.

  • First look

    One buyer gets 2 to 4 weeks to make an offer before anyone else sees the dataset.

What ships with it

  • Datasheet: what it is, what it is good for, verified size, sources, years, format and limits.
  • Provenance file: the owner shown by code, staff notice and consent status, exclusions, mapped to the EU AI Act Article 53 training-data summary and California AB 2013.
  • Manifest with a hash for every file.
  • QC report and de-identification report.
  • Your own copy, with unique canary records.

How it is de-identified

Default exclusions removed, files flattened to text, identifiers found in three layers and replaced with consistent placeholders, and the result measured against a 99% bar for each identifier type in each source.

The full method

Request scope and pricing

We confirm scope, volume and timing in writing before you sign. Samples go out under evaluation terms after a short buyer check, once the first records are in.

Dataset: NK-38164

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