Material recording clerks

$46k median pay1.3M US jobsHigh school diploma or equivalent
7
out of 10
AI-Powered

This occupation is highly exposed because its core functions—tracking data, scheduling, and inventory reporting—are digital information-processing tasks that AI and automated systems excel at. While some physical presence is required to inspect goods or handle packages, the rapid integration of AI-driven logistics software, RFID technology, and computer vision for quality control is already leading to a projected decline in employment.

Task breakdown

AI can do now32%
AI can assist24%
Human domain44%

Based on 15 O*NET work activities for this occupation

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Tools built for this work

1
Gather AIPricing not publicEmployer-deployed

Flies drones and mounts forklift cameras to count warehouse inventory continuously, replacing the periodic manual cycle count with live shelf-to-record data.

Learn more

3 ways to level up

1

Automate your reporting pipeline

Connect your data sources to AI-powered reporting. Generate weekly summaries, dashboards, or client updates automatically. Focus your time on analysis, not assembly.

Moves you from 7 → 8
2

Deploy AI agents for routine decisions

Identify decisions that follow clear rules (scheduling, triage, categorization) and set up AI agents to handle them. You review exceptions, not every case.

Frees 5+ hours per week
3

Train your team on AI-first workflows

Run a 1-hour workshop showing your team how you use AI. Share your best prompts and workflows. The compounding effect of team-wide adoption far exceeds individual use.

Multiplies your impact across the team

Estimated time savings

8.4hours per week

Conservative estimate based on AI exposure score and a 40-hour work week. Assumes 30% of exposed tasks produce real time savings today.

Personalized plan

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AI Score measures how much AI opportunity your role has. Higher scores mean more potential for AI-assisted productivity gains. Scores are derived from O*NET task data across 342 occupations. This is a starting point, not a verdict. Tool recommendations are based on industry fit and are not endorsements.

Methodology · jobsdata.ai