Will AI replace Transportation, Storage, and Distribution Managers?

Not as a job, but it is already doing parts of the work. Across the 60 official task statements scored for Transportation, Storage, and Distribution Managers (United States, SOC 11-3071), 52% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 57 out of 100 (range 51–63, band: partial). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

What should someone working in “Transportation, Storage, and Distribution Managers” do about AI?

Start from the ledger rather than the headline: 52% of this job's weighted core work is exposed, and roughly 29% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.

How is the AI exposure score for Transportation, Storage, and Distribution Managers calculated?

Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 60 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

US dataswitch to UK

Transportation, Storage, and Distribution Managers

supervising the activities of workers engaged in receiving, evaluating contractors or business partners for operational efficiency or safety or environmental performance records and designing, implementing. If that's your week, this page is about your job.

The honest answer

This job is splitting in two: selecting transportation routes to maximize economy by combining shipments or consolidating warehousing and distribution is work AI now does quickly and cheaply, and supervising the activities of workers engaged in receiving is work it can't touch.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 52%
changing shape: 19%
staying human: 29%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 57 out of 100 (51–63 allowing for uncertainty): partial exposure, across 60 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.

How we know this

What is measured: Every published task statement for transportation, storage, and distribution managers is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

Which half fills your week decides your exposure. The ledger below shows which rows you can move toward.

Your week, as this page understands it

Plan, direct, or coordinate transportation, storage, or distribution activities in accordance with organizational policies and applicable government laws or regulations. Includes logistics managers. The job title says “transportation”, “storage” or “distribution managers”: officially one job, several names. The real job is the part underneath: supervising the activities of workers engaged in receiving. That is the thing someone has to be right about.

The exposed part of this job is specific, and we won’t pretend it is coming back. But transportation, storage, and distribution managers is not one task. It is 60 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is supervising the activities of workers engaged in receiving, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 52%
changing shape: 19%
staying human: 29%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

4 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Shifting to AI

33 tasks

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

Defining performance metrics
This is reading one thing and writing another: performance metrics in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Define performance metrics for measurement, comparison, or evaluation of supply chain factors, such as product cost or quality.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Defining supply chain metrics draws on standard industry measures, though the right choice depends on the business.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Developing procedures for coordination of supply chain management with other functional areas
This is reading one thing and writing another: procedures in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Develop procedures for coordination of supply chain management with other functional areas, such as sales, marketing, finance, production, or quality assurance.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Writing coordination procedures between departments is standard process documentation AI drafts well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Analyzing all aspects of corporate logistics to determine the most cost-effective or efficient means of transporting products or supplies
This is reading one thing and writing another: all aspects of corporate logistics in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Analyze all aspects of corporate logistics to determine the most cost-effective or efficient means of transporting products or supplies.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Comparing transport modes and costs is a classic optimisation problem that software solves well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Establishing or monitoring specific supply chain-based performance measurement systems
This is reading one thing and writing another: specific supply chain-based performance measurement systems in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Establish or monitor specific supply chain-based performance measurement systems.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Setting up and running supply chain performance measures is reporting work on data the business already holds.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Changing shape

11 tasks

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

Determining appropriate equipment and staffing levels
The software now makes the first pass at appropriate equipment, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Determine appropriate equipment and staffing levels to load, unload, move, or store materials.” (O*NET task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Planning kit and staffing for a shift is scheduling maths, though it needs knowledge of the site.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Planning, developing or implementing warehouse safety and security programs and activities
The software now makes the first pass at warehouse safety, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Plan, develop, or implement warehouse safety and security programs and activities.” (O*NET task statement)
How this row was scored
Exposure score: 49 out of 100 (42–56 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Safety and security programmes are built from published standards, though rolling them out involves walking the site.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Collaborating with other departments to integrate logistics with business systems or processes
The software now makes the first pass at other departments, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Collaborate with other departments to integrate logistics with business systems or processes, such as customer sales, order management, accounting, or shipping.” (O*NET task statement)
How this row was scored
Exposure score: 40 out of 100 (33–47 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: The systems side is documented, but joining up departments happens through negotiation between colleagues.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.

Staying human

16 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Supervising the activities of workers engaged in receiving
This work happens in the physical world: the activities of workers, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Supervise the activities of workers engaged in receiving, storing, testing, and shipping products or materials.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Supervising a shift means being on the warehouse floor with the people doing the work.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Inspecting physical conditions of warehouses
This work happens in the physical world: physical conditions of warehouses, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect physical conditions of warehouses, vehicle fleets, or equipment and order testing, maintenance, repairs, or replacements.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (6–14 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Judging the condition of a building, vehicle or machine means going and looking at it.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Planning, organizing
The value here is that a specific person handles the work of subordinate staff and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Plan, organize, or manage the work of subordinate staff to ensure that the work is accomplished in a manner consistent with organizational requirements.” (O*NET task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Work planning can be automated, but managing a team depends on knowing and directing real people.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.

Show the other 50 tasks

Selecting transportation routes to maximize economy by combining shipments or consolidating warehousing and distribution
shifting to AI
This is reading one thing and writing another: transportation routes in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Select transportation routes to maximize economy by combining shipments or consolidating warehousing and distribution.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Route and consolidation planning is a well-solved computing problem that software does better than by hand.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analyzing inventories to determine how to increase inventory turns
shifting to AI
This is reading one thing and writing another: inventories in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Analyze inventories to determine how to increase inventory turns, reduce waste, or optimize customer service.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Inventory analysis for turns, waste and service levels is standard number work on existing data.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analyzing information about supplier performance or procurement program success
shifting to AI
This is reading one thing and writing another: information in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Analyze information about supplier performance or procurement program success.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Supplier performance data is already collected, so analysing it is routine reporting.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring forecasts and quotas to identify changes and predict effects on supply chain activities
shifting to AI
This is reading one thing and writing another: forecasts in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Monitor forecasts and quotas to identify changes and predict effects on supply chain activities.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Tracking forecasts and quotas and predicting knock-on effects is calculation on data already held.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Forecasting material costs or developing standard cost lists
shifting to AI
This is reading one thing and writing another: material costs in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Forecast material costs or develop standard cost lists.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Cost forecasting and standard cost lists are calculations on data that already sits in the system.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring inventory levels of products or materials in warehouses
shifting to AI
This is reading one thing and writing another: inventory levels of products in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Monitor inventory levels of products or materials in warehouses.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Warehouse systems already track stock levels and flag them automatically.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining metrics, reports, process documentation, customer service logs or training or safety records
shifting to AI
This is reading one thing and writing another: metrics, reports, process documentation in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Maintain metrics, reports, process documentation, customer service logs, or training or safety records.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping metrics, logs and process records up to date is routine documentation software handles well.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Examining invoices and shipping manifests for conformity to tariff and customs regulations
shifting to AI
This is reading one thing and writing another: invoices in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Examine invoices and shipping manifests for conformity to tariff and customs regulations.” (O*NET task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Checking invoices and manifests against tariff rules is exactly the sort of document matching software does quickly.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Diagraming supply chain models to help facilitate discussions with customers
shifting to AI
This is reading one thing and writing another: chain models in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Diagram supply chain models to help facilitate discussions with customers.” (O*NET task statement)
How this row was scored
Exposure score: 79 out of 100 (72–86 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Drawing clear supply chain diagrams for discussion is standard visual documentation work.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Advising sales and billing departments of transportation charges for customers' accounts
shifting to AI
This is reading one thing and writing another: sales in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Advise sales and billing departments of transportation charges for customers' accounts.” (O*NET task statement)
How this row was scored
Exposure score: 79 out of 100 (75–83 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Telling sales and billing what the transport charges are is routine data passing between systems.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Reviewing invoices, work orders, consumption reports or demand forecasts to estimate peak performance periods and to issue work assignments
shifting to AI
This is reading one thing and writing another: invoices, work orders, consumption reports or demand forecasts in, a record out. That is the shape today's tools are built for.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Review invoices, work orders, consumption reports, or demand forecasts to estimate peak performance periods and to issue work assignments.” (O*NET task statement)
How this row was scored
Exposure score: 79 out of 100 (72–86 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reading demand and consumption data to spot peaks is routine analysis on information already in the system.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Developing or implementing procedures or systems to evaluate or select suppliers
shifting to AI
This is reading one thing and writing another: procedures in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Develop or implement procedures or systems to evaluate or select suppliers.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Writing supplier evaluation and selection procedures is documented process work.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Conducting or overseeing the conduct of life cycle analyses to determine the environmental impacts of products
shifting to AI
This is reading one thing and writing another: the conduct of life cycle analyses in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Conduct or oversee the conduct of life cycle analyses to determine the environmental impacts of products, processes, or systems.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Life cycle analysis follows documented methods and databases, making it well suited to software support.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Investigating or reviewing the carbon footprints and environmental performance records of current or potential storage and distribution service providers
shifting to AI
This is reading one thing and writing another: the carbon footprints in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Investigate or review the carbon footprints and environmental performance records of current or potential storage and distribution service providers.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reviewing published carbon and environmental records of providers is research and comparison work.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Locating or selecting biodegradable, non-toxic or other environmentally friendly raw materials for manufacturing processes
shifting to AI
This is reading one thing and writing another: biodegradable, non-toxic or other environmentally friendly raw materials in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Locate or select biodegradable, non-toxic, or other environmentally friendly raw materials for manufacturing processes.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Searching for greener materials is research against published specifications, though samples still need testing.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Developing and documenting standard and emergency operating procedures
shifting to AI
This is reading one thing and writing another: standard in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Develop and document standard and emergency operating procedures for receiving, handling, storing, shipping, or salvaging products or materials.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Operating procedures follow well-established formats, so drafting and updating them is largely writing work.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analyzing the financial impact of proposed logistics changes
shifting to AI
This is reading one thing and writing another: the financial impact of proposed logistics changes in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Analyze the financial impact of proposed logistics changes, such as routing, shipping modes, product volumes or mixes, or carriers.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Modelling the cost effect of a routing or carrier change is spreadsheet work built on existing figures.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing management recommendations, such as proposed fee and tariff increases or scheduling changes
shifting to AI
This is reading one thing and writing another: management recommendations in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Prepare management recommendations, such as proposed fee and tariff increases or schedule changes.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Recommending fee, tariff or schedule changes is analysis and report writing from internal figures.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analyzing expenditures and other financial information to develop plans
shifting to AI
This is reading one thing and writing another: expenditures in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Analyze expenditures and other financial information to develop plans, policies, or budgets for increasing profits or improving services.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Analysing spending to build plans and budgets is number work on records already held digitally.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Planning or implementing energy saving changes to transportation services
shifting to AI
This is reading one thing and writing another: energy saving changes in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Plan or implement energy saving changes to transportation services, such as reducing routes, optimizing capacities, employing alternate modes of transportation, or minimizing idling.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Finding fuel and capacity savings in routes and loads is analysis on data the business already collects.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Evaluating contractors or business partners for operational efficiency or safety or environmental performance records
shifting to AI
This is reading one thing and writing another: contractors in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Evaluate contractors or business partners for operational efficiency or safety or environmental performance records.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Assessing contractors on efficiency and safety records is research and comparison of documented information.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Documenting physical supply chain processes
shifting to AI
This is reading one thing and writing another: physical supply chain processes in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Document physical supply chain processes, such as workflows, cycle times, position responsibilities, or system flows.” (O*NET task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Process documentation is a strong fit for software, though the detail is gathered by watching the operation.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reviewing or updating supply chain practices in accordance with new or changing environmental policies
shifting to AI
This is reading one thing and writing another: chain practices in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Review or update supply chain practices in accordance with new or changing environmental policies, standards, regulations, or laws.” (O*NET task statement)
How this row was scored
Exposure score: 66 out of 100 (59–73 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Environmental rules are published, so reviewing practice against them is document comparison before formal approval.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring product import or export processes to ensure compliance with regulatory or legal requirements
shifting to AI
This is reading one thing and writing another: product import in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Monitor product import or export processes to ensure compliance with regulatory or legal requirements.” (O*NET task statement)
How this row was scored
Exposure score: 66 out of 100 (59–73 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Customs and trade rules are published, so checking shipments against them is document work before official filing.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Conferring with supply chain planners to forecast demand or create supply plans that ensure availability of materials or products
shifting to AI
This is reading one thing and writing another: supply chain planners in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Confer with supply chain planners to forecast demand or create supply plans that ensure availability of materials or products.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Demand forecasting is strong statistical ground for software, though the plan is agreed with planners.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Evaluating and selecting information or other technology solutions to improve tracking and reporting of materials or products distribution
shifting to AI
This is reading one thing and writing another: information in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Evaluate and select information or other technology solutions to improve tracking and reporting of materials or products distribution, storage, or inventory.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Comparing tracking and reporting technologies is research and evaluation against documented requirements.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Preparing and managing departmental budgets
shifting to AI
This is reading one thing and writing another: departmental budgets in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Prepare and manage departmental budgets.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Budget preparation is structured number work, though defending and managing it involves colleagues.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Implementing specific customer requirements, such as internal reporting or customized transportation metrics
shifting to AI
This is reading one thing and writing another: specific customer requirements in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Implement specific customer requirements, such as internal reporting or customized transportation metrics.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Building custom reports and metrics for a customer is configuration and analysis work.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Recommending or authorizing capital expenditures for acquisition of new equipment or property to increase efficiency and services
shifting to AI
This is reading one thing and writing another: capital expenditures in, a record out. That is the shape today's tools are built for.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Recommend or authorize capital expenditures for acquisition of new equipment or property to increase efficiency and services.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Building the case for buying new equipment is financial analysis and report writing.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Designing or implementing plant warehousing strategies for production materials or finished products
changing shape
The software now makes the first pass at plant warehousing strategies, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Design or implement plant warehousing strategies for production materials or finished products.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Warehouse layout and storage strategy is modelling work, though it depends on the physical building.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Identifying opportunities to reuse or recycle materials to minimize consumption of new materials
changing shape
The software now makes the first pass at opportunities, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Core
Source: “Identify opportunities to reuse or recycle materials to minimize consumption of new materials, minimize waste, or to convert wastes to by-products.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Finding reuse and recycling opportunities is analysis, though it relies on knowing the physical waste streams.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring suppliers' activities to assess performance in meeting quality or delivery requirements
changing shape
The software now makes the first pass at suppliers' activities, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Monitor suppliers' activities to assess performance in meeting quality or delivery requirements.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Delivery and quality performance is tracked in systems, though some checking means visiting the supplier.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Designing or implementing supply chains that support business strategies adapted to changing market conditions
changing shape
The software now makes the first pass at chains, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Design or implement supply chains that support business strategies adapted to changing market conditions, new business opportunities, or cost reduction strategies.” (O*NET task statement)
How this row was scored
Exposure score: 49 out of 100 (42–56 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Designing a supply chain around business strategy needs judgement about a specific company's situation.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Designing or implementing supply chains that support environmental policies
changing shape
The software now makes the first pass at chains, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Core
Source: “Design or implement supply chains that support environmental policies.” (O*NET task statement)
How this row was scored
Exposure score: 49 out of 100 (42–56 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Building environmental goals into a supply chain needs judgement about a particular company's operations and suppliers.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Designing, implementing
changing shape
The software now makes the first pass at product take back, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Design, implement, or oversee product take back or reverse logistics programs to ensure products are recycled, reused, or responsibly disposed.” (O*NET task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Returns and recycling programmes are designed on paper, but running them involves physical handling operations.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Identifying or qualifying new suppliers in collaboration with other departments
changing shape
The software now makes the first pass at new suppliers, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Identify or qualify new suppliers in collaboration with other departments, such as procurement, engineering, or quality assurance.” (O*NET task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Finding candidate suppliers is desk research, though qualifying them involves other departments and sometimes site visits.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Planning or implementing improvements to internal or external systems or processes
changing shape
The software now makes the first pass at improvements, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Plan or implement improvements to internal or external systems or processes.” (O*NET task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Process improvement is well documented analysis, though making changes stick involves the people doing the work.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Managing activities related to strategic or tactical purchasing
staying human
The ratings behind this row put activities well outside what today's tools can do on their own.
importance 4 · Core
Source: “Manage activities related to strategic or tactical purchasing, material requirements planning, controlling inventory, warehousing, or receiving.” (O*NET task statement)
How this row was scored
Exposure score: 37 out of 100 (30–44 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Purchasing and inventory systems do much of this, but managing across the functions needs someone steering.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Implementing new or improved supply chain processes to improve efficiency or performance
staying human
The ratings behind this row put new or improved supply chain processes well outside what today's tools can do on their own.
importance 4 · Core
Source: “Implement new or improved supply chain processes to improve efficiency or performance.” (O*NET task statement)
How this row was scored
Exposure score: 37 out of 100 (30–44 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Designing a better process is well supported, but implementing it means changing how people actually work.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Developing or implementing plans for facility modification or expansion
staying human
The ratings behind this row put plans well outside what today's tools can do on their own.
importance 4 · Core
Source: “Develop or implement plans for facility modification or expansion, such as equipment purchase or changes in space allocation or structural design.” (O*NET task statement)
How this row was scored
Exposure score: 37 out of 100 (30–44 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Expansion plans need site knowledge and internal agreement, though the analysis and paperwork can be drafted.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Negotiating prices and terms with suppliers
staying human
The value here is that a specific person handles prices and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Negotiate prices and terms with suppliers, vendors, or freight forwarders.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Price negotiation depends on trust and leverage between people who deal with each other repeatedly.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Negotiating with carriers, warehouse operators or insurance company representatives for services and preferential rates
staying human
The value here is that a specific person handles carriers, warehouse operators or insurance company representatives and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Negotiate with carriers, warehouse operators, or insurance company representatives for services and preferential rates.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Rate negotiations turn on relationships and leverage built with a particular carrier or broker.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Meeting with suppliers to discuss performance metrics
staying human
The value here is that a specific person handles suppliers and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Meet with suppliers to discuss performance metrics, to provide performance feedback, or to discuss production forecasts or changes.” (O*NET task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Performance conversations with suppliers work through an ongoing business relationship.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Participating in the coordination of engineering changes
staying human
The value here is that a specific person handles the coordination of engineering changes and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Participate in the coordination of engineering changes, product line extensions, or new product launches to ensure orderly and timely transitions in material or production flow.” (O*NET task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Product launches and engineering changes are coordinated through meetings with the teams involved.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Resolving problems concerning transportation, logistics systems, imports or exports or customer issues
staying human
The value here is that a specific person handles problems concerning transportation, logistics systems and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Resolve problems concerning transportation, logistics systems, imports or exports, or customer issues.” (O*NET task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Fixing a stuck shipment usually means chasing people and making judgement calls with incomplete information.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Conferring with department heads to coordinate warehouse activities
staying human
The value here is that a specific person handles department heads and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Confer with department heads to coordinate warehouse activities, such as production, sales, records control, or purchasing.” (O*NET task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Coordinating across departments happens in meetings where relationships and give-and-take matter.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Monitoring operations to ensure that staff members comply with administrative policies and procedures
staying human
This work happens in the physical world: operations, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Monitor operations to ensure that staff members comply with administrative policies and procedures, safety rules, union contracts, environmental policies, or government regulations.” (O*NET task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Compliance data can be tracked automatically, but seeing whether rules are actually followed means being on site.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Directing inbound or outbound operations
staying human
This work happens in the physical world: inbound, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Direct inbound or outbound operations, such as transportation or warehouse activities, safety performance, and logistics quality management.” (O*NET task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Directing daily inbound and outbound operations means being close to what is happening in the building.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Interviewing, selecting and training warehouse and supervisory personnel
staying human
This work happens in the physical world: warehouse, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Interview, select, and train warehouse and supervisory personnel.” (O*NET task statement)
How this row was scored
Exposure score: 20 out of 100 (13–27 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Interviewing and training warehouse staff happens face to face on the site.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Appraising vendor manufacturing capabilities through on-site observations or other measurements
staying human
This work happens in the physical world: vendor manufacturing capabilities, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Appraise vendor manufacturing capabilities through on-site observations or other measurements.” (O*NET task statement)
How this row was scored
Exposure score: 9 out of 100 (5–13 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Judging what a factory can really do means walking the floor and seeing it working.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

What this job pays, and how many people do it

Median pay: $107,230a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
People doing this job: 221,180in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: transportation routes in, a record out. The rows above are exactly that shape: selecting transportation routes to maximize economy by combining shipments or consolidating warehousing and distribution and defining performance metrics. What it cannot do is be there in the room, and that is still where the activities of workers get done. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

The exposed part of your job is the biggest part, and I am not going to dress that up: selecting transportation routes to maximize economy by combining shipments or consolidating warehousing and distribution is work today's tools do quickly and cheaply, and that is not coming back.

So, given all that: 52% of this job's task weight sits in rows the software is already learning, 19% in rows that change shape rather than disappear, and 29% in rows it is nowhere near. That is the position, measured across 60 scored tasks. It is not a forecast about you.

What you have that the software does not is supervising the activities of workers engaged in receiving, plus the years of knowing when something looks wrong before you can say why. That is the raw material for everything below.

This week: one thing

Sit on the machine's side of the desk. Pick one real piece of transportation routes you would normally do yourself, let whatever software you already have take the first pass at it, and then go through what it produced and write down every single thing it got wrong. One evening this week. Do not fix anything yet. Just catch it.

What you end up holding: a written list of the machine’s mistakes, in your handwriting
How long it takes: an evening, or an hour if you pick one job rather than one client

If you can’t run software on your employer’s or your clients’ data: Do the same hunt on paper. Take one printed piece of transportation routes, work through it the way you always do, and mark every point where you made a call rather than followed a rule. Same evening, same list, nothing to log into and nobody to ask permission from. That list is the same artifact: it is the judgment written down.

Over the next 90 days

Change one sentence about what you do. Not on a CV. Out loud, to whoever pays you. From “my job is selecting transportation routes to maximize economy by combining shipments or consolidating warehousing and distribution” to “I check what the software does and tell you what it means.” Your error list from this week is what makes that sentence true instead of a claim, so use it: show it once, to one person, inside the next ninety days. Same skills, priced as judgment rather than as typing.

Over the next 12 months

Walk toward the end of this job that answers for things, and get it recognised. Pick the one part of supervising the activities of workers engaged in receiving you are already best at, and spend the year making it formal: a qualification, a named responsibility, a specialism people ask for by name. Price it honestly: that is evenings, it is months rather than weeks, and the seats are competitive because everyone in your position is looking at the same door. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest US occupations to transportation, storage, and distribution managers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was first-line supervisors of production and operating workers: only about 2% of its durable work is work you already do and it pays 30.6% less. Your own job splits about 52/48: that share of the list sits in the top exposure band and the rest does not. On this evidence the honest move is inside the job rather than out of it. Become the person who owns “supervise the activities of workers engaged in receiving, storing, testing, and shipping…”, and let the exposed end go.

How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

First-Line Supervisors of Production and Operating Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already confer with department heads to coordinate warehouse activities, and their equivalent is to confer with other supervisors to coordinate operations and activities within or between departments. Across both published task lists that is about 2% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 2% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $74,450 against your $107,230, 30.6% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
General and Operations Managers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already confer with department heads to coordinate warehouse activities, and their equivalent is to direct and coordinate activities of businesses or departments concerned with the production, pricing…. Across both published task lists that is about 2% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 2% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Industrial Engineers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already supervise the activities of workers engaged in receiving, storing, testing, and shipping products…, and their equivalent is to direct workers engaged in product measurement, inspection, and testing activities to ensure quality…. Across both published task lists that is about 2% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 2% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 52% of its task weight, across 60 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
“It’s too late for me to become something else”
You are not starting from zero, and the page shows why: supervising the activities of workers engaged in receiving is work the software cannot do and you already do it. The move above is a repricing of what you know, not a new career. Nobody who has just left college has that.
“I should learn to code”
Almost certainly not. The value in your job is moving toward checking, deciding and answering for the output, not toward writing the software. A weekend of Python will not change your position; the error list from this week will.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

If you run a team doing this job

If you run a team doing this job, the conversation you owe them is the one on this page, and sooner than feels comfortable. Show them the ledger rather than a reassurance: the rows moving toward the software are selecting transportation routes to maximize economy by combining shipments or consolidating warehousing and distribution, and the rows that are not are where you want your people visible. Ask each of them to do the this-week move and bring the list to your next one-to-one. It turns a rumour into a piece of work, and it tells you which parts of your team's week are actually at stake. And say the thing out loud that a team lead usually leaves unsaid: a shrinking team is your exposure too, so do the move yourself as well.

You are reading the United States figures

The United Kingdom splits this work across more than one official group, of which Directors in logistics, warehousing and transport is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United Kingdom page →partial match

The other groups this work is counted across:

In UK official statistics this job is counted as Directors in logistics, warehousing and transport, Managers in transport and distribution, Managers in logistics, Managers in storage and warehousing and Purchasing managers and directors. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
Free

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for transportation / storage / distribution managers, and we are not going to point you at the nearest one and call it a fit.

There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 52% of the work on this page is already inside what they can do.

Try The AI Authority free →

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

The AI Authority is a general community about working with AI, not a course for transportation / storage / distribution managers. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.

Noted, and thank you. We’ll email you if a Space for transportation / storage / distribution managers launches. Nothing else.

That did not look like an email address, so nothing was saved. Have another go below.

We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.

No Space for transportation / storage / distribution managers yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for transportation / storage / distribution managers existed, with researched problems, courses and people in the same boat, would you want in?

Your email

We use your email address for one thing: to tell you if a Space for transportation / storage / distribution managers launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Transportation, Storage, and Distribution Managers?: Not as a job, but it is already doing parts of the work. Across the 60 official task statements scored for Transportation, Storage, and Distribution Managers (United States, SOC 11-3071), 52% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 57 out of 100 (range 51–63, band: partial). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Transportation, Storage, and Distribution Managers” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Select transportation routes to maximize economy by combining shipments or consolidating warehousing and distribution” (93/100, very high); “Analyze inventories to determine how to increase inventory turns, reduce waste, or optimize customer service” (93/100, very high); “Analyze information about supplier performance or procurement program success” (93/100, very high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Transportation, Storage, and Distribution Managers” stay human?: About 29% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Appraise vendor manufacturing capabilities through on-site observations or other measurements” (9/100, minimal); “Inspect physical conditions of warehouses, vehicle fleets, or equipment and order testing, maintenance, repairs, or replacements” (10/100, minimal); “Supervise the activities of workers engaged in receiving, storing, testing, and shipping products or materials” (14/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Transportation, Storage, and Distribution Managers” do about AI?: Start from the ledger rather than the headline: 52% of this job's weighted core work is exposed, and roughly 29% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
How is the AI exposure score for Transportation, Storage, and Distribution Managers calculated?: Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 60 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

Worth knowing about these figures

The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
4 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights: onet-db (im-rt-with-imputed)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-04.
Pay and employment: bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

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Using these figures?

Cite this

Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.