Receive, store, and issue materials, equipment, and other items from stockroom, warehouse, or storage yard. Keep records and compile stock reports.
22 of 22 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Receive and count stock items, and record data manually or using computer.
AI: Fully automatable - Barcode/RFID scanning, automated weigh/count systems and inventory software can reliably receive, count, and record stock without human intervention in most settings.
Mark stock items using identification tags, stamps, electric marking tools, or other labeling equipment.
AI: Fully automatable - Label printing and automated applicator equipment can fully perform tagging and marking tasks across standard workflows.
Prepare and maintain records and reports of inventories, price lists, shortages, shipments, expenditures, and goods used or issued.
AI: Fully automatable - ERP and AI tooling already prepare and maintain inventories, price lists, shortages, shipments, and expenditure reports from transactional data.
Determine proper storage methods, identification, and stock location based on turnover, environmental factors, and physical capabilities of facilities.
AI: Fully automatable - Optimization algorithms and warehouse management AI can determine appropriate storage methods, identification, and slotting using turnover, environmental, and facility constraints.
Compile, review, and maintain data from contracts, purchase orders, requisitions, and other documents to assess supply needs.
AI: Fully automatable - NLP/OCR and rules engines can compile, review, and maintain contract, PO, and requisition data to assess supply needs and forecast demand.
Recommend disposal of excess, defective, or obsolete stock.
AI: Fully automatable - As of 2025 AI systems can analyze inventory, valuation, obsolescence rules, and regulatory constraints to generate disposal recommendations automatically.
Determine sequence and release of back orders according to stock availability.
AI: Fully automatable - Inventory management systems with AI can sequence and release backorders automatically based on stock availability and priority rules.
Keep records on the use or damage of stock or stock-handling equipment.
AI: Fully automatable - Integrated AI with scanners, OCR, and IoT/ERP systems can automatically log and maintain records of stock use and reported damage from available inputs.
Advise retail customers or internal users on the appropriateness of parts, supplies, or materials requested.
AI: Fully automatable - AI recommendation engines and knowledge bases can advise retail customers and internal users on appropriateness and compatibility for most routine parts and materials queries.
Pack and unpack items to be stocked on shelves in stockrooms, warehouses, or storage yards.
AI: Partial - Robotic pick-and-pack systems and computer vision can perform packing/unpacking in structured warehouses, but general-purpose, varied stockrooms still require human dexterity and judgment.
Store items in an orderly and accessible manner in warehouses, tool rooms, supply rooms, or other areas.
AI: Partial - Automated storage/retrieval systems can place items orderly in many facilities, yet ad-hoc or highly variable storage environments still need human handling and decision-making.
Examine and inspect stock items for wear or defects, reporting any damage to supervisors.
AI: Partial - Computer-vision inspection systems can detect many types of wear or defects and auto-report them, but subtle, subjective, or novel defects and contextual judgments still need human review.
Verify inventory computations by comparing them to physical counts of stock, and investigate discrepancies or adjust errors.
AI: Partial - Software can reconcile records and flag or auto-correct straightforward discrepancies, but physical verification and root-cause investigations often require human intervention.
Issue or distribute materials, products, parts, and supplies to customers or coworkers, based on information from incoming requisitions.
AI: Partial - Automated picking, conveyor and fulfillment systems can handle many distribution tasks, but varied requisitions, exceptions, and on-site handoffs frequently need human action.
Provide assistance or direction to other stockroom, warehouse, or storage yard workers.
AI: Partial - AI tools can provide instructions, scheduling and decision support to workers, but real-time leadership, coordination and nuanced interpersonal direction remain human-led.
Dispose of damaged or defective items, or return them to vendors.
AI: Partial - Return-authorizations, labeling and some disposal workflows can be automated, yet disposition decisions, vendor negotiations and certain handling steps typically require human oversight.
Prepare products, supplies, equipment, or other items for use by adjusting, repairing or assembling them as necessary.
AI: Partial - Preparing, adjusting, repairing, or assembling physical items requires on-site manual dexterity and situational judgment that AI/robots can only partially automate in 2025.
Clean and maintain supplies, tools, equipment, and storage areas to ensure compliance with safety regulations.
AI: Partial - Autonomous cleaning and some predictive maintenance systems can handle routine tasks, but comprehensive maintenance and safety-compliance activities need human inspection and judgement.
Confer with engineering and purchasing personnel and vendors regarding stock procurement and availability.
AI: Partial - AI can draft messages, summarize availability, and surface options, but real-time cross-functional negotiation and vendor relationship management still require human involvement.
Purchase new or additional stock, or prepare documents that provide for such purchases.
AI: Partial - AI and e‑procurement systems can prepare purchase documents and execute routine buys, but complex purchasing decisions and approvals typically need human oversight in 2025.
Sell materials, equipment, and other items from stock in retail settings.
AI: Partial - AI systems can handle many sales tasks (e.g., online chat, POS, recommendations, payment processing) but cannot fully replicate in‑person retail selling, complex negotiations, and physical interactions across all settings as of 2025.
Drive trucks to pick up incoming stock or to deliver parts to designated locations.
AI: Partial - Autonomous trucking technology can handle constrained routes and highways in limited deployments, but general pickup and delivery in mixed, last‑mile environments is not fully automated by 2025.