# Parts Salespersons

> Sell spare and replacement parts and equipment in repair shop or parts store.

- **SOC code:** 41-2022.00
- **Canonical URL:** https://singulariki.com/roles/role-41-2022-00
- **Also known as:** Parts Consultant, Parts Counterperson, Parts Salesman, Parts Salesperson, Parts Advisor, Parts Counter Salesperson, Parts Counterman, Parts Person
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Receive payment or obtain credit authorization.
- Assist customers, such as responding to customer complaints and updating them about back-ordered parts.
- Fill customer orders from stock, and place orders when requested items are out of stock.
- Receive and fill telephone orders for parts.
- Locate and label parts, and maintain inventory of stock.
- Prepare sales slips or sales contracts.
- Read catalogs, microfiche viewers, or computer displays to determine replacement part stock numbers and prices.
- Determine replacement parts required, according to inspections of old parts, customer requests, or customers' descriptions of malfunctions.
- Examine returned parts for defects, and exchange defective parts or refund money.
- Manage shipments by researching shipping methods or costs and tracking packages.
- Mark and store parts in stockrooms, according to prearranged systems.
- Maintain and clean work and inventory areas.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Sales and Marketing _(knowledge)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Administration and Management _(knowledge)_
- Near Vision _(ability)_
- Administrative _(knowledge)_
- Computers and Electronics _(knowledge)_
- Persuasion _(transferable_skill)_
- Written Comprehension _(ability)_

**Skills in demand:**
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- English Language _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Mathematics _(Common Skill)_
- Writing _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Word _(hot technology, in demand)_
- Adobe Acrobat _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- SAP software _(hot technology)_
- Inventory control system software _(in demand)_
- Inventory management systems _(in demand)_
- Customer information databases
- Inventory tracking software
- SmugMug Flickr

## AI exposure & outlook

- **AI task-overlap index:** 55th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 46th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 44th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 78th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 97th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 3.1% growth (About average); 30.2k annual openings; 272.1k → 280.6k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $37,440; 265,060 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 17% automation, 29% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Receive payment or obtain credit authorization. _(0.7% of measured AI use; learning)_
- Assist customers, such as responding to customer complaints and updating them about back-ordered parts. _(0.4% of measured AI use)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me receive payment or obtain credit authorization.
- Help me assist customers, such as responding to customer complaints and updating them about back-ordered parts.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-41-2022-00_