# First-Line Supervisors of Non-Retail Sales Workers

> Directly supervise and coordinate activities of sales workers other than retail sales workers. May perform duties such as budgeting, accounting, and personnel work, in addition to supervisory duties.

- **SOC code:** 41-1012.00
- **Canonical URL:** https://singulariki.com/roles/role-41-1012-00
- **Also known as:** Customer Service Supervisor, Reservations Supervisor, Sales Leader, Sales Supervisor, Customer Service Department Supervisor, Driver Sales Supervisor, Information Center Supervisor, Inside Sales Supervisor
- **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):
- Monitor sales staff performance to ensure that goals are met.
- Provide staff with assistance in performing difficult or complicated duties.
- Formulate pricing policies on merchandise according to profitability requirements.
- Visit retailers and sales representatives to promote products and gather information.
- Prepare sales and inventory reports for management and budget departments.
- Direct and supervise employees engaged in sales, inventory-taking, reconciling cash receipts, or performing specific services.
- Examine products purchased for resale or received for storage to determine product condition.
- Examine merchandise to ensure correct pricing and display, and that it functions as advertised.
- Listen to and resolve customer complaints regarding services, products, or personnel.
- Keep records pertaining to purchases, sales, and requisitions.
- Hire, train, and evaluate personnel.
- Analyze details of sales territories to assess their growth potential and to set quotas.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Monitoring _(essential_skill)_
- Management of Personnel Resources _(transferable_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Speech Recognition _(ability)_
- Administration and Management _(knowledge)_
- Social Perceptiveness _(transferable_skill)_
- Coordination _(transferable_skill)_
- Judgment and Decision Making _(transferable_skill)_

**Skills in demand:**
- Speech Recognition _(Specialized Skill)_
- Active Listening _(Common Skill)_
- Time Management _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- English Language _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Writing _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Negotiation _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Critical Thinking _(Common 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)_
- Salesforce software _(hot technology, in demand)_
- Cisco Webex _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Project _(hot technology)_
- Microsoft Word _(hot technology)_
- SAP software _(hot technology)_
- Budgeting software
- Customer information databases

## AI exposure & outlook

- **AI task-overlap index:** 80th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 88th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 88th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 59th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 26th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 0.0% growth (About average); 24.8k annual openings; 320k → 320k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $84,130; 219,010 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 22% automation, 52% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Confer with company officials to develop methods and procedures to increase sales, expand markets, and promote business. _(1.6% of measured AI use; task iteration)_
- Listen to and resolve customer complaints regarding services, products, or personnel. _(0.9% of measured AI use; none)_
- Provide staff with assistance in performing difficult or complicated duties. _(0.7% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me confer with company officials to develop methods and procedures to increase sales, expand markets, and promote business.
- Help me listen to and resolve customer complaints regarding services, products, or personnel.
- Help me provide staff with assistance in performing difficult or complicated duties.

## 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-41-1012-00_