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AI use cases in logistics and freight

31 AI agents that logistics and freight companies run today, grouped by the team they work for. For each one: the process, what the AI does, where people step in and the result the company reported.

Customer service

In production · reported 2026

2/3 of LTL tracking exceptions automated

LTL tracking exception handling

US managed transportation provider

What the AI does
Works daily exception reports, pulls status from carrier portals, calls and emails carriers for PRO numbers, compares ETAs to must-arrive-by dates and flags exceptions.
Where people step in
Customer liaisons present options; customers choose to expedite, reschedule or wait.
Systems
TMS · Portal · Phone · Email

In production · reported 2026

~70% of emailed pickup requests automated

LTL pickup requests from email

US third-party logistics provider

What the AI does
Reads emailed LTL pickup requests, builds the pickup form, asks the shipper for missing details and puts the shipment in the team queue.
Where people step in
Requests missing details or belonging to another team are routed to the right people.
Systems
TMS · Email

In production

97% fewer unanswered calls

Inbound passenger contact center calls

Mexican intercity bus group

What the AI does
Answers calls on the main customer line around the clock about schedules, routes, fares and policies across five brands.
Where people step in
Out-of-scope calls transfer to humans; the human team handles complex holiday-surge cases.
Systems
Phone · CRM

In production

98% touchless load building

Load tender entry into the TMS

Canadian temperature-controlled carrier, 300+ trucks

What the AI does
Reads inbound tenders, extracts load data, checks for duplicates in the TMS, pulls consignee IDs and delivery schedules, applies customer rules and posts loads.
Where people step in
New edge cases are escalated to human operators.
Systems
TMS

In production

95% accuracy on ambiguous orders

Warehouse order entry from customer emails

US cold-chain logistics operator

What the AI does
Pulls orders from the CRM, opens attachments and resolves item codes, lot numbers and delivery instructions against the facility WMS catalog.
Where people step in
The team ran thousands of simulations before go-live.
Systems
CRM · WMS

Sales

In production

Quote response 8 min → 2 min

Spot and multi-lane freight quoting

US asset-based carrier and brokerage

What the AI does
Pulls load board and rate data into one view, writes quote replies and auto-sends quotes for repeat low-complexity spot lanes.
Where people step in
Auto-quoting runs only within preset guardrails; reps handle complex deals.
Systems
TMS · Load boards · Rate intelligence · Email

In production

66% faster quote response

Email freight quoting and rep activity tracking

PE-backed US 3PL

What the AI does
Parses quote emails as they arrive, fills in freight rates before the rep opens them, logs rep activity and surfaces customer and spot trends.
Where people step in
Reps send quotes from a single screen; management uses insights for outreach.
Systems
Email · Rating engine

In production · reported 2025

A single rep booked 50-60 loads/day

Carrier sales calls and load booking

US freight brokerage

What the AI does
Takes carrier calls and emails, pre-negotiates rates, vets carriers and books loads.
Where people step in
A carrier management team reviews the AI's actions and audits outcomes.
Systems
TMS · Carrier vetting

In production · reported 2024

21-second average response

Inbound carrier email replies and negotiation

US freight brokerage

What the AI does
Replies to carrier emails, starts rate negotiations and sends all quotes into the TMS for reps to review.
Where people step in
Reps review quotes, drop weaker offers and handle complex tasks and relationships.
Systems
TMS · Email

In production · reported 2026

24% of loads covered by automation

Carrier email replies and vetting on posted loads

US freight brokerage with trucking arm

What the AI does
Answers carrier inquiries with full load details, captures priced quotes and vets carriers so carriers reach reps informed and priced.
Where people step in
Reps negotiate rates, book loads and handle outbound procurement.
Systems
TMS · Portal · Email

Operations

In production

95% accuracy in automated field population

Vessel report re-entry into partner platforms

Maritime transportation company

What the AI does
Extracts vessel report data from the logbook system and fills partner reporting fields using semantic field mapping with rule-based guardrails.
Where people step in
People review every populated report before submission.
Systems
Logbook system · Partner reporting portals

In production · reported 2025

2x loads per rep per day

Load building, tracking and billing prep

US freight brokerage

What the AI does
Reads operators' emails, builds and tracks loads in the TMS, vets carriers, collects PODs, prepares billing and posts updates and a daily briefing in Slack.
Where people step in
Operators handle the exceptions the AI surfaces in Slack.
Systems
TMS · Email · Slack/Teams

In production · reported 2026

87% of daily track & trace volume

Load track and trace calls

Top-25 US freight broker

What the AI does
Handles dispatch, collects driver info, confirms check-in and check-out and sends in-transit updates, escalating exceptions to the right rep.
Where people step in
Reps handle escalated exceptions and complex situations that need judgment.
Systems
TMS

In production

25,000 loads tracked/month end-to-end

Full-truckload track and trace

Large US freight brokerage

What the AI does
Tracks loads through six lifecycle stages by phone, text and carrier portals, collects proof of delivery and raises alerts in a custom interface.
Where people step in
The track-and-trace team manages exceptions; relationships, judgment and escalations stay with humans.
Systems
TMS · Phone · Carrier portals · Slack/Teams

In production

Order entry 5 min → 15 seconds

Order entry from emailed tenders

US asset-based carrier with brokerage

What the AI does
Reads tenders from emails and attachments and maps stops, reference numbers and appointment windows to TMS fields.
Where people step in
A person reviews and approves each load before it goes live.
Systems
TMS · Email

Finance

In production

94% of invoices one touch or less

Supplier invoice processing for AP

US logistics provider, ~$1bn revenue

What the AI does
Reads each invoice, extracts header and line details, assigns branch and job, applies customer and branch rules, catches duplicates and files it in the ERP.
Where people step in
Only cases needing a human decision escalate; AP specialists handle disputes and supplier relationships.
Systems
ERP

In production

61% complete with one or fewer touches

Supplier and carrier invoice processing

Global transport and logistics provider

What the AI does
Identifies incoming invoices, extracts header and line data, checks costs against live shipments, reconciles accruals and posts to jobs using country tax rules.
Where people step in
The finance team handles genuine exceptions.
Systems
ERP · Email · Spreadsheets

In production

80% invoices auto-approved

Carrier invoice audit and approval

US freight brokerage

What the AI does
Categorizes each carrier document, extracts and links data, makes billing decisions on preset rules and flags exceptions with explanations.
Where people step in
The finance team resolves exceptions using the context provided.
Systems
TMS · Carrier APIs

In production · reported 2021

94% payments auto-applied

Cash application and deduction coding

Global foodservice distributor

What the AI does
Captures remittance information, applies payments straight through to the ERP and identifies and codes deductions.
Where people step in
Cash application analysts handle payments that are not auto-applied.
Systems
ERP

In production · reported 2026

Days to bill 9 → 3

Freight document capture for billing

US trucking carrier

What the AI does
Ingests, classifies and extracts data from variable freight documents such as BOLs and PODs into structured JSON for billing.
Where people step in
Staff manage exceptions and monitor improvement instead of doing data entry.
Systems
Document processing platform · Downstream systems

Procurement

In production

3,000+ sourcing events handled annually

Sourcing events across spend categories

Global container logistics company

What the AI does
Automates routine sourcing tasks, runs sourcing events and computes optimal vendor and lane award scenarios.
Where people step in
The team focuses on strategic initiatives while bots run routine tasks.
Systems
Sourcing optimizer

In production

Intake improved 96%

Invoice intake, coding and PO matching

US aviation ground services company

What the AI does
Reviews invoices arriving in a central AP inbox, codes them and sets them up for PO matching.
Where people step in
The AP team checks prepared invoices for accuracy before processing.
Systems
Procurement platform · Email

Supply chain

In production

10+ live use cases

Carrier tracking and ETA confirmation calls

Global contract logistics provider

What the AI does
Calls carriers to collect pickup and delivery ETAs and updates the TMS in real time.
Where people step in
The AI agents route escalations; teams focus on exception handling.
Systems
TMS · Phone

In production

80% invoices auto-approved

Carrier invoice audit and approval

US freight brokerage

What the AI does
Categorizes each carrier document, extracts and links data, makes billing decisions on preset rules and flags exceptions with explanations.
Where people step in
The finance team resolves exceptions using the context provided.
Systems
TMS · Carrier APIs

In production

99.8% accuracy, 1,000 docs/day

Inbound warehouse receiving document capture

Large temperature-controlled warehouse operator

What the AI does
Reads BOLs, POs, arrival notices and packing lists, including handwriting and photos, and extracts about 40 fields per packet for the WMS.
Where people step in
Coordinators focus on customers and exceptions.
Systems
WMS

In production

85%+ of order workflows fully automated

Email order entry through delivery notices

European B2B frozen bakery supplier

What the AI does
Extracts order details from emails and attachments, enters orders in the ERP, generates transport and delivery notices and updates email categories.
Where people step in
About 15% of order workflows still need human intervention.
Systems
ERP · Email · Document management

In production

95% no-touch invoice approval

Freight document ingestion and invoice audit

US food producer with private fleet

What the AI does
Ingests carrier documents in any format, extracts and normalizes data, links documents, applies GL codes and audits billing.
Where people step in
A dedicated account team handles carrier compliance conversations.

HR

In production

Result described without a number

New-hire orientation and exit interview calls

Global logistics group

What the AI does
Calls new hires before onboarding to confirm attendance and logistics, and runs structured exit interviews with a summary report for HR.
Where people step in
HR receives the summarized reports.

Claims

In production

23K claims emails/month

Fleet claims email intake and extraction

EMEA fleet claims processor

What the AI does
Processes inbound claims emails end to end, extracting data from PDFs, spreadsheets, scans and images across vehicles, drivers and legal entities, in several languages.
Where people step in
Low-confidence cases are flagged for human review.
Systems
Email · Claims system · RPA

Anonymised summaries of public case studies published from 2023 to 2026. Company and vendor names are withheld. Figures are as the companies reported them; they are not Retexa results.

Questions

AI in logistics and freight

What are the most common AI use cases in logistics and freight?

In the 31 public cases we collected, AI agents in logistics and freight work mostly in customer service, sales and operations. Examples: ltl tracking exception handling; ltl pickup requests from email; inbound passenger contact center calls.

Where do people stay in the loop?

Each card says where people step in. In this industry, for example: customer liaisons present options; customers choose to expedite, reschedule or wait; requests missing details or belonging to another team are routed to the right people.

Are these Retexa results?

No. These are anonymised summaries of public case studies from 2023 to 2026, with company and vendor names withheld. Figures are as the companies reported them. Retexa builds the same kind of agents on top of the systems you already run.

Other industries

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