Record sales or transactions data.
Detailed work activity
Record sales or transactions data. is a detailed work activity in O*NET — a concrete unit of work shared across 6 occupations and seen in 9 occupation-specific tasks. It rolls up into the broader work activity Maintain sales or financial records. in Documenting/Recording Information .
Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.
AI exposure
Of the 9 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 8 (89%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).
Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.
Member tasks
Occupation-specific tasks O*NET maps to this detailed work activity, most important first.
- Post charges against guests' or patients' accounts. · Cashiers · importance 4.4 · exposure with tools
- Record and report demonstration-related information, such as the number of questions asked by the audience or the number of coupons distributed. · Demonstrators and Product Promoters · importance 4.3 · no direct exposure
- Prepare daily reports of fuel, oil, and accessory sales. · Automotive and Watercraft Service Attendants · importance 4.2 · direct LLM exposure
- Record information, such as cash receipts and ticket fares, and maintain log book. · Bus Drivers, Transit and Intercity · importance 4.1 · direct LLM exposure
- Record sales or delivery information on daily sales or delivery record. · Driver/Sales Workers · importance 4.0 · direct LLM exposure
- Collect money from customers, make change, and record transactions on customer receipts. · Driver/Sales Workers · importance 4.0 · exposure with tools
- Maintain customer records and follow up periodically with telephone, mail, or personal reminders of services due. · Automotive and Watercraft Service Attendants · importance 3.7 · direct LLM exposure
- Write customer orders and sales contracts according to company guidelines. · Driver/Sales Workers · importance 3.7 · direct LLM exposure
- Create itemized invoices to record amounts due for services rendered. · Disc Jockeys, Except Radio · direct LLM exposure
Occupations that perform this
- Cashiers
- Demonstrators and Product Promoters
- Automotive and Watercraft Service Attendants
- Bus Drivers, Transit and Intercity
- Driver/Sales Workers
- Disc Jockeys, Except Radio
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Record sales or transactions data.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/detailed-activities/record-sales-or-transactions-data
Singulariki. (2026). Record sales or transactions data.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/record-sales-or-transactions-data
@misc{singulariki-record-sales-or-transactions-data,
title = {Record sales or transactions data.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/detailed-activities/record-sales-or-transactions-data}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.