# Logisticians

> Analyze and coordinate the ongoing logistical functions of a firm or organization. Responsible for the entire life cycle of a product, including acquisition, distribution, internal allocation, delivery, and final disposal of resources.

- **SOC code:** 13-1081.00
- **Canonical URL:** https://singulariki.com/roles/role-13-1081-00
- **Also known as:** Client Services Administrator, Logistician, Production Planner, Supply Management Specialist, Acquisition Analyst, Automated Logistics Specialist, Delivery Coordinator, Demand Planner
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Maintain and develop positive business relationships with a customer's key personnel involved in, or directly relevant to, a logistics activity.
- Develop an understanding of customers' needs and take actions to ensure that such needs are met.
- Manage subcontractor activities, reviewing proposals, developing performance specifications, and serving as liaisons between subcontractors and organizations.
- Develop proposals that include documentation for estimates.
- Review logistics performance with customers against targets, benchmarks, and service agreements.
- Direct availability and allocation of materials, supplies, and finished products.
- Explain proposed solutions to customers, management, or other interested parties through written proposals and oral presentations.
- Redesign the movement of goods to maximize value and minimize costs.
- Perform managerial duties such as hiring and training employees and overseeing facility needs or requirements.
- Direct team activities, establishing task priorities, scheduling and tracking work assignments, providing guidance, and ensuring the availability of resources.
- Collaborate with other departments as necessary to meet customer requirements, to take advantage of sales opportunities or, in the case of shortages, to minimize negative impacts on a business.
- Report project plans, progress, and results.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Transportation _(knowledge)_
- Critical Thinking _(essential_skill)_
- English Language _(knowledge)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Problem Sensitivity _(ability)_
- Deductive Reasoning _(ability)_
- Inductive Reasoning _(ability)_
- Information Ordering _(ability)_
- Administration and Management _(knowledge)_
- Customer and Personal Service _(knowledge)_

**Skills in demand:**
- Information Ordering _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- English Language _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Active Listening _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Mathematics _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Systems Analysis _(Specialized Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- SAP software _(hot technology, in demand)_
- Autodesk AutoCAD _(hot technology)_
- Intuit QuickBooks _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Project _(hot technology)_
- Microsoft SharePoint _(hot technology)_
- Microsoft SQL Server _(hot technology)_
- Microsoft Visio _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 75th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 87th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 79th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 55th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 8th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 16.7% growth (Growing fast); 26.4k annual openings; 241k → 281.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $80,880; 235,640 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 26% automation, 47% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Support the development of training materials and technical manuals. _(0.7% of measured AI use; task iteration)_
- Develop an understanding of customers' needs and take actions to ensure that such needs are met. _(0.6% of measured AI use; task iteration)_
- Develop and implement technical project management tools, such as plans, schedules, and responsibility and compliance matrices. _(0.4% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me support the development of training materials and technical manuals.
- Help me develop an understanding of customers' needs and take actions to ensure that such needs are met.
- Help me develop and implement technical project management tools, such as plans, schedules, and responsibility and compliance matrices.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-13-1081-00_