খুচরা ক্রেতা
বিক্রয় ও বিপণনযুক্তরাষ্ট্র · BLS কর্মসংস্থান প্রক্ষেপণ 2025–35: এই SOC কোডটি প্রকাশিত ভুক্তিগুলির মধ্যে নেই।
AI এক্সপোজার
- ডেটার উৎস: ILOপ্রকাশকাল: 2025
0.39
0.09এখানে থাকা মানগুলোর পরিসর0.70পেশা-গোষ্ঠী পর্যায়ের মান
স্কেল, ভিত্তি ও উৎস
জেনারেটিভ AI এক্সপোজার সূচক, প্রকাশিত রূপে 0–1
ISCO-08 ইউনিট গ্রুপ — একই কোডের সব পেশা এই মানই পায়
এটি এই সাইটের হিসাব, ILO-এর প্রকাশিত সংখ্যা নয়: এই সাইট ILO ডেটাসেটের সঙ্গে যুক্ত করা ১,০১২টি পেশার মধ্যে 44% এই মানের সমান বা তার বেশি।
- ডেটার উৎস: OpenAIপ্রকাশকাল: 2023
0.400
0.000এখানে থাকা মানগুলোর পরিসর0.844স্কেল, ভিত্তি ও উৎস
Task-level exposure
15টি লুকানো কাজ দেখুন| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Monitor and analyze sales records, trends, or economic conditions to anticipate consumer buying patterns and determine what the company will sell and how much inventory is needed.13-1022 | 0.003441.2 | 0.007862.7 |
Develop strategies to advertise green products or merchandise to consumers.13-1022 | 0.003137.5 | —0 |
Obtain information about customer needs or preferences by conferring with sales or purchasing personnel.13-1022 | 0.001821.3 | —0 |
Monitor competitors' sales activities by following their advertisements in newspapers or other media. | —0 | 0.003124.6 |
Provide clerks with information to print on price tags, such as price, mark-ups or mark-downs, manufacturer number, season code, or style number. | —0 | 0.001612.7 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Provide clerks with information to print on price tags, such as price, mark-ups or mark-downs, manufacturer number, season code, or style number.O*NET Task ID 77 | 1.0 |
Monitor and analyze sales records, trends, or economic conditions to anticipate consumer buying patterns, company sales, and needed inventory.O*NET Task ID 66 | 0.5 |
Authorize payment of invoices or return of merchandise.O*NET Task ID 68 | 0.5 |
Consult with store or merchandise managers about budgets or goods to be purchased.O*NET Task ID 72 | 0.5 |
Determine which products should be featured in advertising, the advertising medium to be used, or when the ads should be run.O*NET Task ID 78 | 0.5 |
Monitor competitors' sales activities by following their advertisements in newspapers or other media.O*NET Task ID 79 | 0.5 |
Analyze environmental aspects of competing merchandise when making buying decisions.O*NET Task ID 19547 | 0.5 |
Compare transportation options to determine the most energy-efficient options.O*NET Task ID 19548 | 0.5 |
Develop strategies to advertise green products or merchandise to consumers.O*NET Task ID 19549 | 0.5 |
Identify opportunities to buy green commodities, such as alternative energy, water, or carbon-neutral products for resale to consumers.O*NET Task ID 19550 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page