Cashiers

Scan customers' purchases using registers or point-of-sale systems

Self-checkout systems already automate this task end-to-end. Computer vision can identify products, and barcode scanning is trivial for AI-integrated systems. The task is nearly eliminated in stores with full automation.

BLS evidence: Cashiers process payments and disburse money in retail settings using cash registers, point-of-sale systems, or related equipment.

Process payment from customers and give change and receipts

Payment processing is fully automatable through existing POS systems, card readers, and cash-handling machines. Self-checkout kiosks and automated payment terminals already perform this task with minimal human involvement.

BLS evidence: Cashiers are responsible for processing sales transactions in retail stores.

Count money in register at beginning and end of shifts

Automated cash-counting machines and POS systems can reconcile registers with high accuracy. Computer vision can count bills and coins. The task is largely automated in modern retail, with humans mainly verifying machine counts.

BLS evidence: Cashiers count the money in their register at the beginning and end of each shift or tally transaction receipts from point-of-sale systems.

Answer customers' questions and provide information about store policies

LLM-based chatbots and voice assistants can answer most routine policy questions about hours, return windows, and payment methods. Complex or emotionally-charged situations still benefit from human intervention, but 60-70% of inquiries are automatable.

BLS evidence: Cashiers must pay attention to customers' questions and explain pricing, promotions, and store policies.

Help customers sign up for store rewards or credit card programs

Digital kiosks and AI assistants can guide customers through signup flows, verify information, and complete enrollment. However, persuasion, handling objections, and building rapport for optional programs still benefit from human interaction in many contexts.

BLS evidence: Cashiers help customers sign up for store rewards, credit cards, or other programs.

Oversee self-checkout stands

AI-powered monitoring systems can detect most common self-checkout issues (unscanned items, weight mismatches) and provide remote assistance. However, physical intervention for jams, age verification, and complex problems still requires human presence on-site.

BLS evidence: Cashiers are responsible for processing sales transactions in retail stores, which also may include overseeing self-checkout stands.

Process returns and exchanges of merchandise

AI can process standard returns by checking receipts and restocking rules, but handling edge cases (damaged goods assessment, customer disputes, manager override decisions) requires human judgment. A human with AI support is substantially more productive.

BLS evidence: Cashiers typically process returns and exchanges of merchandise.

Retrieve customers' orders for in-store pickup or stock shelves

Order retrieval requires navigating physical storage areas and locating specific items, which demands mobility in semi-structured environments. Shelf stocking requires dexterous manipulation and spatial reasoning in varied conditions. Robotics can assist but humans remain primary.

BLS evidence: Cashiers may have duties related to customer assistance or store upkeep, such as retrieving customers' orders for in-store pickup or stocking shelves.

Verify age when selling age-restricted products such as alcohol or tobacco

Age verification requires physical ID inspection and real-time judgment about document authenticity and photo matching in unpredictable lighting with varied ID formats. While AI can assist, legal liability and fraud risk require human verification in most jurisdictions.

BLS evidence: When selling age-restricted products, such as alcohol or tobacco, cashiers must verify the age of the purchasing customer.

Greet customers and bag or wrap their purchases

Greeting requires social presence in physical space, and bagging/wrapping demands dexterous manipulation of varied items in unpredictable configurations. Robotics cannot yet match human speed and adaptability for physical bagging tasks in retail environments.

BLS evidence: Cashiers typically greet customers and bag or wrap customers' purchases.