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AI Automation Index
Will AI Replace Retail Salespersons?
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Retail Salespersons. Run the upskilling simulator.
AI Vulnerability
46%
risk score
Median Salary
$35,410 / year
Growth Demand
Very High
Constituent Task Mix
We parsed O*NET's 24 constituent tasks for this occupation and classified them by AI threat risk.
High Automation Risk (Routine Tasks) 4%
Medium Automation Risk (Cognitive/Technical) 83%
Low Automation Risk (Strategy/Leadership) 13%
How would you survive?
Automate your routine tasks and design your day around strategic advisory to future-proof this score.
Simulate Upskilling →constituent Tasks
Greet customers and ascertain what each customer wants or needs.
Semi-structured task combining routine and non-routine responsibilities.
Recommend, select, and help locate or obtain merchandise based on customer needs and desires.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Compute sales prices, total purchases, and receive and process cash or credit payment.
Semi-structured task combining routine and non-routine responsibilities.
Prepare merchandise for purchase or rental.
Semi-structured task combining routine and non-routine responsibilities.
Answer questions regarding the store and its merchandise.
Semi-structured task combining routine and non-routine responsibilities.
Maintain knowledge of current sales and promotions, policies regarding payment and exchanges, and security practices.
Semi-structured task combining routine and non-routine responsibilities.
Demonstrate use or operation of merchandise.
Semi-structured task combining routine and non-routine responsibilities.
Describe merchandise and explain use, operation, and care of merchandise to customers.
Semi-structured task combining routine and non-routine responsibilities.
Ticket, arrange, and display merchandise to promote sales.
Semi-structured task combining routine and non-routine responsibilities.
Inventory stock and requisition new stock.
Semi-structured task combining routine and non-routine responsibilities.
Exchange merchandise for customers and accept returns.
Semi-structured task combining routine and non-routine responsibilities.
Watch for and recognize security risks and thefts and know how to prevent or handle these situations.
Semi-structured task combining routine and non-routine responsibilities.
Place special orders or call other stores to find desired items.
Semi-structured task combining routine and non-routine responsibilities.
Clean shelves, counters, and tables.
Semi-structured task combining routine and non-routine responsibilities.
Maintain records related to sales.
Routine cognitive or manual task with high vulnerability to automation.
Open and close cash registers, performing tasks such as counting money, separating charge slips, coupons, and vouchers, balancing cash drawers, and making deposits.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Prepare sales slips or sales contracts.
Semi-structured task combining routine and non-routine responsibilities.
Estimate and quote trade-in allowances.
Semi-structured task combining routine and non-routine responsibilities.
Bag or package purchases and wrap gifts.
Semi-structured task combining routine and non-routine responsibilities.
Help customers try on or fit merchandise.
Semi-structured task combining routine and non-routine responsibilities.
Sell or arrange for delivery, insurance, financing, or service contracts for merchandise.
Semi-structured task combining routine and non-routine responsibilities.
Estimate quantity and cost of merchandise required, such as paint or floor covering.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Rent merchandise to customers.
Semi-structured task combining routine and non-routine responsibilities.
Estimate cost of repair or alteration of merchandise.
Semi-structured task combining routine and non-routine responsibilities.
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<script src="https://giniloh.com/embed.js" async></script> O*NET Methodology
O*NET Data Source
This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.
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