O*NET-SOC कोड
13-1199.06

Conduct retail activities of businesses operating exclusively online. May perform duties such as preparing business strategies, buying merchandise, managing inventory, implementing marketing activities, fulfilling and shipping online orders, and balancing financial records.

पेशों के नाम और कार्य-विवरण प्रकाशित रूप में अंग्रेज़ी में दिखाए जाते हैं। लेबल, जिनमें कार्य-प्रकार भी शामिल हैं, अनूदित हैं।

AI एक्सपोजर

  • डेटा स्रोत: BLSप्रकाशन: 2026-08

    बहुत उच्च· सापेक्ष

    कमचार सापेक्ष श्रेणियाँबहुत उच्च

    व्यवसाय-समूह स्तर का मान

    मापक्रम, आधार और स्रोत

    चार सापेक्ष बैंड (कम / मध्यम / उच्च / बहुत उच्च)

    BLS रोज़गार पूर्वानुमान तालिका के 831 विस्तृत व्यवसायों के आधार पर। मान NEM (नेशनल एम्प्लॉयमेंट मैट्रिक्स) कोड के स्तर पर दिया जाता है, इसलिए एक ही NEM कोड वाले व्यवसायों को वही बैंड मिलता है

    स्रोत डेटासेट (XLSX फ़ाइल डाउनलोड)

  • डेटा स्रोत: Anthropicप्रकाशन: 2026-03

    0.185

    0.000यहाँ दिए गए मानों की सीमा0.745

    व्यवसाय-समूह स्तर का मान

    मापक्रम, आधार और स्रोत

    प्रेक्षित एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1

    O*NET कार्यों पर मैप किया गया

    SOC 2018 व्यवसाय के स्तर पर प्रकाशित; समान SOC 2018 कोड वाले हर O*NET व्यवसाय को यही मान मिलता है

    स्रोत डेटासेट (CSV फ़ाइल डाउनलोड)

  • डेटा स्रोत: ILOप्रकाशन: 2025

    0.42–0.44· 2 ISCO-08 समूह

    मापक्रम, आधार और स्रोत

    जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1

    ISCO-08 इकाई समूह के स्तर पर प्रकाशित मान। अमेरिकी श्रम सांख्यिकी ब्यूरो (BLS) की आधिकारिक क्रॉसवॉक तालिकाओं (ISCO-08 से 2010 SOC, 2010 SOC से 2018 SOC) को प्रकाशित रूप में लागू करके इस व्यवसाय से जोड़ा गया है; यह मिलान पूर्ण या आंशिक है

    स्रोत डेटासेट (PDF फ़ाइल डाउनलोड)

यह स्रोत किस प्रकार का आँकड़ा प्रकाशित करता है

BLS की श्रेणी सापेक्ष रैंक है, निरपेक्ष स्तर नहीं, और यह प्रथम-हस्त माप भी नहीं है: यह कई प्रकाशित अध्ययनों में व्यवसाय की पर्सेंटाइल रैंकों को चार बैंडों में बांटती है। यह रोज़गार या वेतन का पूर्वानुमान नहीं है, न अपनाए जाने की संभावना, और यह स्वचालन और संवर्धन में अंतर नहीं करती।

जुड़े प्रत्येक ISCO-08 समूह का ILO मान
  • ISCO-08 2422Policy Administration Professionals0.42
  • ISCO-08 3339Business Services Agents Not Elsewhere Classified0.44

AI एक्सपोज़र (OpenAI रूब्रिक)

34 मूल्यांकित कार्य · β ≥ 0.5 वाले 31 कार्य (91.2%)

β = प्रत्यक्ष एक्सपोजर (E1) + 0.5 × उपकरण उपलब्ध होने पर एक्सपोजर (E2), स्रोत रिपॉजिटरी की परिभाषा के अनुसार।

  • स्रोत इकाई: O*NET 27.2 के कार्य → O*NET 31.0 का पेशा कोड
  • सभी मूल्यांकित कार्य O*NET 31.0 की कार्य-सूची में हैं।
स्रोत
OpenAI "GPTs are GPTs" exposure rubric
संस्करण
gh-main-0471612
लाइसेंस
MIT License, Copyright (c) 2024 OpenAI

कार्य

O*NET® 31.0 Database के कार्य-विवरण, मुख्य कार्य पहले।

कार्यप्रकारβ (OpenAI)
Upload digital media, such as photos, video, or scanned images to online storefront, auction sites, or other shopping Web sites.मुख्य0.5
Order or purchase merchandise to maintain optimal inventory levels.मुख्य0.5
Maintain inventory of shipping supplies, such as boxes, labels, tape, bubble wrap, loose packing materials, or tape guns.मुख्य0
Determine and set product prices.मुख्य0.5
Disclose merchant information and terms and policies of transactions in online or offline materials.मुख्य1
Deliver e-mail confirmation of completed transactions and shipment.मुख्य1
Create, manage, or automate orders or invoices, using order management or invoicing software.मुख्य1
Create or maintain database of customer accounts.मुख्य1
Collaborate with search engine shopping specialists to place marketing content in desired online locations.मुख्य0.5
Cancel orders based on customer requests or inventory or delivery problems.मुख्य0.5
Promote products in online communities through weblog or discussion-forum postings, e-mail marketing programs, or online advertising.मुख्य0.5
Fill customer orders by packaging sold items and documentation for direct shipping or by transferring orders to manufacturers or third-party distributors.मुख्य0
Measure and analyze Web site usage data to maximize search engine returns or refine customer interfaces.मुख्य0.5
Investigate products or markets to determine areas for opportunity or viability for merchandising specific products, using online or offline sources.मुख्य0.5
Develop or revise business plans for online business, emphasizing factors such as product line, pricing, inventory, or marketing strategy.मुख्य0.5
Determine location for product listings to maximize exposure to online traffic.मुख्य0.5
Correspond with online customers via electronic mail, telephone, or other electronic messaging to address questions or complaints about products, policies, or shipping methods.मुख्य0.5
Compose images of products, using video or still cameras, lighting equipment, props, or photo or video editing software.मुख्य0.5
Calculate purchase subtotals, taxes, and shipping costs for submission to customers.मुख्य1
Receive and process payments from customers, using electronic transaction services.मुख्य0
Prepare or organize online storefront marketing material, including product descriptions or subject lines, optimizing content to search engine criteria.मुख्य1
Purchase new or used items from online or physical sources for resale via retail or auction Web site.मुख्य0.5
Compose descriptions of merchandise for posting to online storefront, auction sites, or other shopping Web sites.मुख्य1
Calculate revenue, sales, and expenses, using financial accounting or spreadsheet software.मुख्य1
Participate in online forums or conferences to stay abreast of online retailing trends, techniques, or security threats.पूरक0.5
Integrate online retailing strategy with physical or catalogue retailing operations.पूरक0.5
Create or distribute offline promotional material, such as brochures, pamphlets, business cards, stationary, or signage.पूरक0.5
Transfer digital media, such as music, video, or software, to customers via the Internet.पूरक1
Select and purchase technical web services, such as web hosting services, online merchant accounts, shopping cart software, payment gateway software, or spyware.पूरक0.5
Investigate sources, such as auctions, estate sales, liquidators, wholesalers, or trade shows for new items, used items, or collectibles.पूरक0.5
Initiate online auctions through auction hosting sites or auction management software.पूरक1
Implement security practices to preserve assets, minimize liabilities, or ensure customer privacy, using parallel servers, hardware redundancy, fail-safe technology, information encryption, or firewalls.पूरक1
Devise, select, or purchase domain name and web address.पूरक1
Design customer interface of online storefront, using web programming or e-commerce software.पूरक1

व्यावसायिक जानकारी

स्रोत और श्रेय

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: 13-1199.06 Online Merchants

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.

पूर्ण श्रेय और लाइसेंस