Will AI replace Parts Salespersons?
Estimated risk score: 48 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (29 to 67).
For the occupation as a whole, from ratings of its 19 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 41-2022.00 · Sales and Related
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 7 of its 19 rated tasks; the first 6 are shown. In O*NET’s words.
- Prepare sales slips or sales contracts.
- Read catalogs, microfiche viewers, or computer displays to determine replacement part stock numbers and prices.
- Fill customer orders from stock, and place orders when requested items are out of stock.
- Manage shipments by researching shipping methods or costs and tracking packages.
- Receive and fill telephone orders for parts.
- Receive payment or obtain credit authorization.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 9 of its 19 rated tasks; the first 6 are shown. In O*NET’s words.
- Maintain and clean work and inventory areas.
- Mark and store parts in stockrooms, according to prearranged systems.
- Pick up and deliver parts.
- Place new merchandise on display.
- Examine returned parts for defects, and exchange defective parts or refund money.
- Locate and label parts, and maintain inventory of stock.
What the job is
Sell spare and replacement parts and equipment in repair shop or parts store.
Also called: Parts Salesman, Parts Consultant, Parts Counterperson, Parts Rep, Parts Tech, Parts Person, Sales Assist, Parts Advisor.
Closest jobs we score by hand
In the same field (Sales and Related). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate