Corrugated box plant order desk and quote threads, 13 firms

Summary

Quote requests, spec changes and order desk email from independent corrugated sheet plants and box makers, joined to CRM deal records and the ERP orders they became. The threads show how customer service reps spec board grades, flutes and print, push back on rush dates and handle short shipments. Useful for sales and customer service agents in make-to-order manufacturing. Customers, people and all prices are replaced or masked.

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
10.6MCRM records, emails and order lines
Size
25.2 GB
Tokens, estimated
2.4B
Years
2017 to 2025
Firms
13
Owner profile
13 US independent corrugated packaging plants, 30 to 150 staff each, Midwest, Northeast and Southeast
Industry
Manufacturing
Data type
Sales and CRM
Headcount
30 to 150 staff per firm
Region
United States (Midwest, Northeast, Southeast)
Languages
English
Formats
JSONL, Parquet
Updated

Sources

SystemKindRecords
HubSpot record exportsCRM1.3M deals, contacts and activities
Microsoft 365 mailEmail7.9M messages
EpicorAccounting and ERP1.4M sales order lines

Good for

  • training quoting agents to turn box requests into complete specs with style, board grade, flute and print
  • drafting order desk replies on lead times, rush requests and spec changes
  • evaluating CRM agents that log activity and update deal stages from email
  • forecasting reorders from customer order history

Fields

FieldTypeDescription
thread_idstringEmail thread id
firm_codestringPool member code
customer_codestringPlaceholder for the box buyer
request_typeenumnew quote, reorder, spec change, rush or complaint
deal_stageenumCRM stage when the thread closed
specobjectBox style, inside dimensions, board, flute and print
quantityintQuantity requested
messagesintMessages in the thread
excerptstringKey message body, quoted text stripped
order_linesarray<string>Linked ERP sales order lines, prices removed

Example record

{
  "thread_id": "TH-2022-198344",
  "firm_code": "CRG-11",
  "customer_code": "[COMPANY_63]",
  "request_type": "spec change",
  "deal_stage": "closed won",
  "spec": {
    "style": "RSC",
    "inside_dims_in": "18 x 12 x 10",
    "board": "44 ECT",
    "flute": "C",
    "print": "2 color flexo, 1 panel"
  },
  "quantity": 7500,
  "messages": 7,
  "excerpt": "Their new product packs out at 38 lb and the 32 ECT boxes are crushing on the bottom tier at 4 high in their warehouse. Moving them to 44 ECT C flute. Same print plate, no new tooling. We can run the 7,500 next Wednesday on the flexo folder gluer if [PERSON_2] signs off today.",
  "order_lines": [
    "SO-55120-1 7,500 RSC 18x12x10 44ECT C kraft 2C"
  ]
}
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-36974

Organization type
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