Automation index
How much of a Retail salesperson’s job can AI already do?
Today an AI or a robot can barely cover part of a shift. Pace, the physical space, and dealing with people still are the job.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Retail salesperson
28%
AI can already do 28% of this job.
#91 / 623
View rankingRetail salesperson
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Greet customers and ascertain what each customer wants or needs.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Bag or package purchases and wrap gifts.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Open and close cash registers, performing tasks such as counting money, separating charge slips, coupons, and vouchers, balancing cash drawers, and making deposits.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Compute sales prices, total purchases, and receive and process cash or credit payment.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Answer questions regarding the store and its merchandise.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Recommend, select, and help locate or obtain merchandise based on customer needs and desires.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Prepare merchandise for purchase or rental.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Describe merchandise and explain use, operation, and care of merchandise to customers.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 46% | 28% | +12.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- sales argumentation
- characteristics of products
- e-commerce systems
- product comprehension
- types of written press
- guarantee customer satisfaction
- carry out products preparation
- operate cash register
- ensure compliance with legal requirements
- examine merchandise
Sources for this job· O*NET 41-2031.00· ESCO/ISCO 5223
IS WORK OVER?
Mobile developer
28%
#92 / 623
View rankingMobile developer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514