AI in logistics and transportation — a semi truck hauling freight on Interstate 80 at dusk
Photo: “i80” by eioua · CC BY 2.0
Transport & Logistics

AI solutions for logistics that run your freight, fleet & warehouse operations

TEKHQS builds AI for logistics companies — the agentic layer inside logistics platforms: dispatch, tendering, tracking, settlement, predictive maintenance, and warehouse orchestration, running in production today. Governed. Auditable. Built to earn autonomy, not assume it.

Proven in production with LoadStop MyDriverBook
The State of Freight · 2026

Four numbers explain
where freight is going.

Not hype — operating data on how AI is transforming the logistics industry. The cost floor is at a record, the quote window is measured in minutes, the driver pool is aging out, and the agentic-AI budget line just went vertical.

$2.336 per mile to run a truck in 2025 — the highest ever recorded

Costs rose 3.4% in a year, led by tolls (+13.2%) and repair & maintenance (+8.6%) — while rates stayed soft. When the cost floor sets records and pricing doesn’t, the margin has to come from how you operate.

Source: ATRI · Operational Costs of Trucking
60% of brokers say they lose loads because they can’t quote fast enough

Shippers overwhelmingly go with the first solid answer. Automated pricing desks now respond in minutes; manual desks take hours. Speed-to-quote has quietly become the biggest revenue lever in brokerage.

AI-assisted deskminutes
Manual deskhours
Source: industry quoting studies (GoFreight, Tabi Connect)
160,000 projected truck-driver shortfall by 2030

ATA projects the shortage trending toward 160,000 drivers by 2030, with roughly 1.2 million new hires needed this decade just to keep pace with freight growth and retirements. Getting more from the trucks and drivers you already have is the growth plan.

Source: American Trucking Associations
$53B projected agentic-AI supply-chain software spend by 2030 — up from under $2B in 2025

Gartner found 72% of supply-chain organizations already deploying generative AI in early 2025 — and forecasts agentic software spend growing roughly 25× by 2030. The budget line exists now. Your competitors’ next hire is an agent.

Source: Gartner (Feb 2025 survey · 2030 forecast)

The response isn’t another dashboard — it’s a workforce. The operators compounding these advantages are deploying AI agents against every line above: pricing, coverage, utilization, and the back office.

Meet the agents ↓
See it in action

Watch our AI decide
in real time.

One load, end to end — the eight AI Toolkit modules we built for LoadStop, orchestrated by TMS Copilot: one data model, one workflow engine, one audit trail. Every action is logged and attributable — and when data is incomplete or an edge case appears, the task pauses and routes to a human with full context.

TMS Copilot
Click any module to jump · hover to pause
E - Mail
Inbound email — GlobalGoods Inc
Subject Quote request — CHI → ATL
Load 718 mi · Dry Van · May 8
Channel email + attachment
captured from connected inboxes · queued
Intent classifier — freight-only
quotes · tracking · POD · confirmations — off-topic mail takes no action
Agent routing
Intent: Quote Request
< 5s
Routed to Bidding Agent queue ✓
Audit trail thread action logged ✓
drafts held for approval where your rules require it
ROUTED — 99% classification accuracy · 80% less manual email work*
Request context
Lane CHI → ATL · 718 mi
Equipment Dry Van 53′
Customer GlobalGoods · contract tier
normalized into one clean record
Quote intelligence — every layer
Lane history · 47 loads · 14.1%
Market feed · DAT + Green Screen · live
Customer · 12 quotes · $3.21 avg
your history + live market, weighed in one pass
Pricing decision
AI suggested rate
$3.29/mi
Margin 13.7% · above floor ✓
Accuracy 94% vs. final invoiced rate ✓
AUTO-SEND — 4–7% avg margin lift · drafted in under 4s · low-margin holds for review*
Inbound tender
File RC_CHI_ATL.pdf · 3 pages
Source email attachment
Also accepted EDI 204 · portal · API
one intake pipeline · no manual sorting
Extraction — OCR + language models
Stops & appointments
Rate & accessorials
Equipment & weight
mapped to your TMS schema · source snippet kept per field
Load record
Load #LS-4421
92% first-pass fields
Flagged 1 field for review ✓
Reviewer sees the source snippet ✓
twelve minutes of typing, down to seconds
AUTO-CREATE — 90% faster load entry · structured record in under 8s*
Waterfall outreach
Carriers reached 24 in parallel
Channels voice · SMS · email · portal
Available 9 confirmed
preferred carriers first · your compliance rules
Bid ranking — rate × performance
Carrier A $1.98 · 96/100✓
Carrier B $2.14 · 88/100
Carrier C $2.31 · 91/100
8 bids collected in 87 seconds · normalized from every channel
Coverage decision
Best buy rate
$1.98/mi
vs. market 6.6% below DAT spot ✓
Risk flags none · on-time 98% ✓
AUTO-BOOK — 38% higher bid win rate · 47% less manual outreach*
Fleet state — one view
Drivers ready 34 · HOS-compliant
Open loads 28 awaiting assignment
Sources TMS · ELD · driver app
live capacity & demand, normalized
Match scoring — every driver, every load
HOS & qualifications
Deadhead impact
Equipment & preference
non-compliant options filtered before ranking · reason codes on every pick
Assignment
Load #LD-7821 → John M.
23% less deadhead
HOS compliance 94% on AI-assigned loads ✓
Driver app assignment pushed ✓
AUTO-PLAN — 4× dispatcher productivity · 94% HOS compliance on AI-assigned loads*
Signals — #LD-7821
GPS / ELD updates every 5–15 min
Pickup confirmed 06:14 ✓
Position I-65 · Nashville, TN
check calls automated when data goes quiet · ETA from GPS, weather & traffic
Exception engine — policy rules
ETA drift none ✓
Route progress 72%
Silent-carrier check responsive ✓
drift becomes an alert before the phone rings
Customer update
ETA Atlanta
13:42
Window 18 min ahead ✓
Shipper auto-notified ✓
TRACKED — 98% visibility · 87% fewer check calls · exceptions caught 34 min earlier*
Documents in — #LD-7821
POD_7821.pdf driver app
BOL_7821.pdf email capture
rate_confirmation.pdf on file
auto-attached to the right load
Validation — matched vs. load record
Signature regions present ✓
Consignee & dates match ✓
Rate vs. rate con match ✓
OCR + layout models · failures hold the load out of billing
Billing readiness
Document set
3/3 valid
Exceptions zero ✓
Queue cleared for invoicing ✓
caught at delivery, not at invoice dispute
AUDIT-READY — 99.2% document accuracy · 90% fewer AR/AP exceptions*
Delivery closeout
Delivered 13:42 · POD confirmed ✓
Documents audit-ready ✓
Rate matched · zero discrepancies ✓
triggered automatically on POD — no queuing
Charge detection — nothing left behind
Base freight · CHI → ATL $2,362.00
Detention 2h 15m · from ELD $225.00
Fuel surcharge in base rate
accessorials inferred from ELD & timestamps, not memory
Invoice #INV-4821
Total due · Net 30
$2,587
Sent 16 min after delivery ✓
AR & factoring synced ✓
BILLED — 3× faster invoice cycle · 100% accessorials captured*
Photo: “Two lanes open” by OregonDOT · CC BY 2.0

Illustrative walkthrough of the modules TEKHQS built for LoadStop, shown with sample operational data. *Performance figures as published by LoadStop at loadstop.com.

Our Agents

Explore our AI agents for logistics

Seven agents, one line — the workflow modules from LoadStop’s own platform, orchestrated as a single AI layer from inbound email to delivered POD. The vehicle-intelligence stack powers MyDriverBook’s fleet platform.

TEKHQS Orchestration Layer Sample activitybringing agents online…

Reads every inbound email — quote requests, rate cons, check calls — answers routine ones, routes edge cases to a human.

Saves 2–4 hrs / dispatcher / day*

Prices the lane from 90-day lane history, live market data, and customer margin rules — spot, contract, multi-stop, LTL, intermodal.

Turns emails, PDFs, EDI 204 tenders, portal and API input into a dispatch-ready load record — five-stage extraction pipeline.

Tenders the load — waterfall, broadcast, or direct — across DAT, Truckstop, and carrier portals; tracks acceptance, auto-escalates.

One FleetOps board: every truck, driver, HOS clock, and open load — queue multiple assignments, commit in one move.

Confirms the load, assigns the driver, generates the rate con and BOL, and runs carrier comms by email, SMS, or EDI 204.

Watches every load via ELD, Macropoint, FourKites, or driver check-ins; milestone alerts, exceptions flagged early.

Check calls ↓ 60–80%*
Any agent can hand off to your team — every exception lands in one audit trail.

*Roster and workings per LoadStop’s Workflow Module Reference — every agent is configurable and can be switched on or off per customer.

Freight & TMS AI

Deploy an end-to-end AI layer inside your TMS — quoting to settlement.

Vehicle Intelligence

Predictive maintenance, compliance & fuel-tax reporting, driver safety scoring, and live tracking at the vehicle level.

Warehouse AI

Smart slotting, live utilization, real-time task control, and instant alerts inside your WMS.

Orchestration

One decision layer from dock to delivery, across your systems.

Custom

A custom agentic system designed for your operation.

Vehicle Intelligence

Watch it catch a failure before it happens.

One truck, one day — the vehicle-intelligence features we’re building into MyDriverBook’s fleet platform: predictive maintenance, maintenance alerts, IFTA fuel tax reporting, compliance, driver safety scoring, and live GPS tracking — surfaced from the data the fleet already generates.

Fleet Intelligence
Click any module to jump · hover to pause
Telemetry
Live signals — Unit #T-118
Coolant temp
Pump current
Fan duty cycle
Ambient temp
captured continuously from the vehicle
Predictive Maintenance model
reads the pattern across live telematics
Maintenance call
Coolant pump
Flagged
Action inspection before failure ✓
Load impact none — caught early ✓
PREDICTIVE MAINTENANCE — issues surfaced before they strand a load
Alert raised — Unit #T-118
Component coolant pump
Vehicle file full history attached ✓
Source live telematics
raised automatically — nobody had to notice
Routing — right person, full context
Fleet manager notified ✓
Service history attached ✓
Queue maintenance · prioritized ✓
an alert with context — not an inbox blast
Response
Alert acknowledged
Scheduling in the manager’s hands ✓
Trail alert logged ✓
MAINTENANCE ALERTS — the issue reaches the right person, history attached
Fuel & mileage data
Fuel purchases auto-captured ✓
Miles by jurisdiction from GPS ✓
Manual entry none ✓
fuel & mileage records, collected as the fleet runs
IFTA engine
Miles per state
Gallons reconciled
Rates applied
the quarterly filing assembles itself
Quarterly return
IFTA report
Ready
Reconciliation zero manual work ✓
Records audit-ready ✓
IFTA FUEL TAX REPORTING — quarterly filing without manual reconciliation
Compliance signals
HOS logs live from the ELD ✓
DVIR digital pre/post-trip ✓
Active violations none ✓
FMCSA-approved ELD platform
Compliance engine
HOS violation risk flagged up to 1 h ahead
Driver & safety staff both notified ✓
Reports assembled automatically ✓
violations prevented, not just recorded
Fleet status
Compliance
Clear
Early warnings active ✓
Reporting automated ✓
AUTOMATED COMPLIANCE — impending HOS violations flagged up to an hour ahead
Driving events — from the ELD
Hard braking
Speeding
Idling & cornering
captured continuously on every trip
Driver Behavior Analysis
Event patterns weighed ✓
Trend over time tracked ✓
Trip context applied ✓
produces the Driver Safety Score
Driver Safety Score
Scorecard
Updated
Used for coaching conversations ✓
Not used for surveillance ✓
DRIVER SAFETY SCORE — a coaching input, not surveillance
Position stream
GPS fix I-80 W · mile 412
Speed 61 mph
Coverage entire fleet · live
location, speed & miles travelled
Smart Route Planning
planned route · live position · miles travelled
Live status
Depot arrival
18:42
Location & speed live ✓
Miles travelled logged ✓
REAL-TIME GPS TRACKING — location, speed & miles travelled, live
Photo: “i80” by eioua · CC BY 2.0

Illustrative walkthrough with sample operational data, aligned to MyDriverBook’s published feature set.

Warehouse Intelligence

Watch the warehouse run itself.

One shipment, dock to dispatch — the warehouse-intelligence services we’re building into Magic WMS: inbound receiving, smart slotting, real-time task control, instant alerts, and auto-invoicing — every step scan-verified and traceable.

Warehouse Intelligence
Click any module to jump · hover to pause
Inbound
Inbound shipment — PO-7734
ASN 14 cartons declared
Dock 2 arrived · 08:12
Smart Scanner barcode / QR capture ✓
every carton scanned at the dock door
Match & verify — PO ↔ ASN ↔ received
PO lines matched ✓
Quantities 14 / 14 ✓
Carton 7 damage — flagged & photographed
discrepancies caught at the dock, not at billing
Putaway
Received
14/14
Putaway tasks created ✓
Lot & expiry traced ✓
RECEIVED — traceable from dock to bin
SKU signals — SKU-4418
Velocity A-mover · trending up
Dimensions cubed & weighed ✓
Zone utilization
live space utilization, per zone
Slotting optimizer
Pick frequency
Travel distance
Zone balance
fast movers forward — the same square footage earns more
Bin assignment
SKU-4418
→ A-12
Pick path shorter ✓
Replenishment scheduled ✓
SLOTTED — fast movers up front
Order queue
Open orders prioritized · same-day first
Assignment by zone & workload
Device mobile scanner app ✓
work lands on the right handset, in order
Pick → Pack → Verify
Pick scan-confirmed ✓
Pack carton suggested ✓
Verify item-level check ✓
every step scan-verified — wrong item never ships
Dispatch
Order #SO-2291
Verified
Courier label & handoff synced ✓
Status live on the dashboard ✓
DISPATCHED — pick, pack, verify, done
Live events
Dock delay carrier 22 min late
Damage report carton 7 · photo attached
Urgent action cycle count due · zone B
delays, damages, urgent actions — as they happen
Alert engine
Rules matched ✓
Owner right role picked ✓
Escalation timer armed ✓
never buried in an end-of-day report
Routed
3 alerts
Routed
Ops lead notified ✓
Trail logged ✓
ALERTED — the right person, in the moment
Billable activity
Storage pallet-days metered ✓
Handling receipts & picks counted ✓
Value-added labeling captured ✓
every billable event captured as it happens
Billing rules — per client
Rate card applied ✓
Charges assembled ✓
Review exceptions only ✓
billing built from scans, not from memory
Invoice
Client invoice
Ready
ERP synced ✓
Dispute trail documented ✓
INVOICED — nothing billable left behind
Photo: “Amazon España por dentro” by Alvy · CC BY 2.0

Illustrative walkthrough with sample operational data, aligned to Magic WMS’s published feature set.

Built, not promised —
running in production today.

24
AI capabilities
in production
3
client platforms
running our AI
6
step methodology,
frame to observe
Photo: “Stormy Deliveries” by Stumbling Photographer · CC BY 2.0

We don’t ship dashboards. We ship decisions.

What We Build

From AI dispatch automation to supply chain AI — everything we build for logistics.

AI dispatch automation

Loads assigned by lane profitability, hours of service, and vehicle health — dispatch that never sleeps.

AI route optimization software

Routes and multi-stop plans re-optimized in real time as traffic, hours, and order mix change.

AI load matching

The right truck for the right load, matched automatically inside rules you set.

AI for freight brokers

Coverage, quoting, and margin discipline for brokerage operations — without a call-down list.

AI for trucking companies

Carrier-side automation from tender acceptance through delivery and settlement.

AI document processing for logistics

Rate cons, BOLs, and PODs read, validated against the load, and filed automatically.

Predictive analytics in logistics

Machine learning for freight rate prediction, capacity forecasting, and failure risk — before they bite.

AI voice agents for carrier check calls

Automated check calls that keep tracking current — no phone bank, no gaps.

Supply chain AI automation

Shipper-side orchestration from warehouse waves and yard moves to outbound freight.

TMS AI integration

Agents that plug into the TMS and ERP stack you already run — not another silo.

Work With Our Team

Build with our engineering team.

TEKHQS is a logistics software development company and AI build partner — custom logistics software development, supply chain AI consulting, and custom AI agent development for logistics. We don’t hand you a model and walk away: our team frames the decision, grounds the AI in your data, and stays until the agents are running — governed — inside your platform. From custom TMS features to transportation software development services, it ships inside the stack you already run.

Agentic AI Systems
AI that acts, not just answers.
AI Integration & Enablement
Into your stack, not beside it.
AI Governance & Trust Engineering
Human-in-the-loop autonomy, every action logged.
Engagement modelFrame → Ship → Govern
RolloutRecommend-first
AutonomyGraduated, not assumed
Every actionLogged & attributable
Hand-offYour team can run it
How We Build

Six steps. One AI decision layer.

1

Frame

We start from the decision, not the model.

2

Ground

Agents grounded in your operational data, not general knowledge.

3

Architect

An orchestrator coordinates specialist agents with tool access.

4

Prove

Every action survives an evaluation harness before it can act.

5

Graduate

Autonomy is earned in production, paced by your override rate.

6

Observe

A full audit trail, drift monitoring, continuous improvement.

Bring A Real Lane

See it decide, live.

Bring a real lane, a real breakdown, or a real shipment — we’ll show you the agent handling it, and getting corrected.

Settlement Agent
Rate confirmation received. Load details uploaded to TMS.
Just now · logged to audit trail
Running In Production

Powering AI inside real logistics platforms.

TMS Copilot and the AI Toolkit — the AI suite we built, live in their production cloud TMS and in front of carrier customers today.

TMS CopilotAI InboxAI QuotingAI Cover & BiddingAI Load BuildAI Dispatch PlannerAI TrackingAI InvoicingAI Document Validation
Client Engagement

The vehicle-intelligence layer of their fleet platform — predictive maintenance and driver intelligence, surfaced from the data the fleet already generates.

Predictive MaintenanceDriver Behavior AnalysisAutomated Compliance & ReportingDriver CompanionReal-Time GPS TrackingIFTA Fuel Tax ReportingMaintenance Alerts
Client Engagement

Smart slotting, live space utilization, and real-time task control — pick, pack, verify, dispatch — running inside their warehouse platform.

Smart SlottingLive Space UtilizationReal-Time Task ControlSmart ScannerInstant AlertsAuto-InvoicingInbound Receiving
Client Engagement
FAQ

Questions logistics teams ask us.

How is AI transforming the logistics industry?

The biggest shift is from software that displays data to AI that acts on it. The strongest AI use cases in transportation and logistics today are dispatch automation, freight quoting, document processing, predictive maintenance, and warehouse orchestration — decisions made automatically inside guardrails, with humans handling exceptions.

What are the benefits of AI in freight operations?

Fewer manual check calls, faster quote turnaround, loads covered without call-down lists, documents that file themselves, and breakdowns predicted before they strand a load. The teams that win reduce dispatcher workload with AI and redeploy that time to exceptions and customers.

Can you integrate AI into our existing TMS?

Yes — TMS AI integration is our default approach, not rip-and-replace. We build agents that plug into the TMS, ERP, and telematics stack you already run, with documented APIs and clear data boundaries. AI freight quoting automation and AI exception management in freight typically land inside your current workflows.

Do you build custom AI agents for logistics?

That is exactly what we do. TEKHQS is an AI development company for logistics — custom AI agent development for dispatch, brokerage, LTL freight operations, last mile delivery optimization, and warehouse and yard management, delivered as a build partner rather than a software license.

Where does generative AI fit in supply chain management?

Generative AI in supply chain management works best where language meets operations: reading tender emails, drafting carrier communication, automating carrier onboarding with AI, and turning messy documents into structured records — always with an audit trail, and always reversible.