Wholesale and Retail Buyers, Except Farm Products
Business and Financial Operations Occupations- O*NET-SOC 代码
- 13-1022.00
Buy merchandise or commodities, other than farm products, for resale to consumers at the wholesale or retail level, including both durable and nondurable goods. Analyze past buying trends, sales records, price, and quality of merchandise to determine value and yield. Select, order, and authorize payment for merchandise according to contractual agreements. May conduct meetings with sales personnel and introduce new products. May negotiate contracts. Includes assistant wholesale and retail buyers of nonfarm products.
职业名称和任务陈述按其发布时的英文原文显示。标签（包括任务类型）为译文。
AI暴露度
- 数据来源: ILO发布时间: 2025
0.39
0.09此处所载数值的范围0.70职业群单位数值
尺度 · 母数 · 来源
生成式AI暴露度指数，按发布原值0–1
按 ISCO-08 细类（4 位）发布的数值。按原样应用美国劳工统计局（BLS）的官方对照表（ISCO-08→2010 SOC、2010 SOC→2018 SOC）关联到本职业，对应关系为全部或部分对应
- 数据来源: OpenAI发布时间: 2023
0.400
0.000此处所载数值的范围0.844尺度 · 母数 · 来源
AI 暴露度（OpenAI 评分标准）
已评分任务 20 项 · β ≥ 0.5 的任务 18 项（90.0%）
β = 直接暴露（E1）+ 0.5 × 借助工具时的暴露（E2），依据原始代码库的定义。
- 原始单位：O*NET 27.2 任务 → O*NET 31.0 职业代码
- 已评分任务中有 4 项不在 O*NET 31.0 任务列表中，其分数按 O*NET 27.2 的发布值保留。
- 来源
- OpenAI "GPTs are GPTs" exposure rubric
- 版本
- gh-main-0471612
- 许可
- MIT License, Copyright (c) 2024 OpenAI
任务
来自 O*NET® 31.0 Database 的任务陈述，核心任务在前。
| 任务 | 类型 | β（OpenAI） |
|---|---|---|
| Monitor and analyze sales records, trends, or economic conditions to anticipate consumer buying patterns, company sales, and needed inventory. | 核心 | 0.5 |
| Authorize payment of invoices or return of merchandise. | 核心 | 0.5 |
| Consult with store or merchandise managers about budgets or goods to be purchased. | 核心 | 0.5 |
| Buy merchandise or commodities for resale to wholesale or retail consumers. | 核心 | 0.5 |
| Negotiate prices, discount terms, or transportation arrangements with suppliers. | 核心 | 0.5 |
| Examine, select, order, or purchase merchandise consistent with quality, quantity, specification requirements, or other factors, such as environmental soundness. | 核心 | 0.5 |
| Recommend mark-up rates, mark-down rates, or merchandise selling prices. | 核心 | 0.5 |
| Obtain information about customer needs or preferences by conferring with sales or purchasing personnel. | 核心 | 0.5 |
| Collaborate with vendors to obtain or develop desired products. | 核心 | 0.5 |
| Inspect merchandise or products to determine quality, value, or yield. | 核心 | 0.5 |
| Train or supervise sales or clerical staff. | 补充 | 0 |
| Provide clerks with information to print on price tags, such as price, mark-ups or mark-downs, manufacturer number, season code, or style number. | 补充 | 1 |
| Determine which products should be featured in advertising, the advertising medium to be used, or when the ads should be run. | 补充 | 0.5 |
| Monitor competitors' sales activities by following their advertisements in newspapers or other media. | 补充 | 0.5 |
| Analyze environmental aspects of competing merchandise when making buying decisions. | 补充 | 0.5 |
| Conduct sales meetings to introduce new merchandise. | 补充 | 0 |
职业信息
来源与署名
This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.
Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.
O*NET OnLine: 13-1022.00 Wholesale and Retail Buyers, Except Farm Products
KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.