HVNHAI

AI agents for Logistics

AI in logistics: fewer queries, cleaner paperwork.

Dispatch and customer service in logistics fight the same questions and the same paperwork every day. Our digital employees take over both — integrated into your existing software.

The short answer

AI agents relieve logistics companies exactly where the most time is lost: they answer shipment status enquiries automatically, read consignment notes and delivery notes, capture them in a structured way and consolidate route and utilisation KPIs in one dashboard. That significantly reduces the phone and email workload.

A glimpse of processes we take over for Logistics

Sound familiar?

The most common time sinks in Logistics

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“Where is my shipment?” blocks the phone and the inbox

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Freight documents are typed off by hand

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Subcontractor documents arrive unstructured

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Route KPIs only exist at the end of the month

Each of these is a recurring process — and therefore automatable. Which one costs you the most time?

Concrete use cases

Typical problems in Logistics — and how our agents solve them

This is just a glimpse: we automate any process that regularly costs you time. Tell us your biggest time sink — we'll tell you honestly what's possible.

01

Shipment status agent

Customer status enquiries are answered automatically with real tracking data — by email, web form or portal.

02

Freight document capture

Consignment notes, delivery notes and proof-of-delivery documents are extracted, validated and transferred directly into your systems.

03

Subcontractor settlement

Incoming documents and credit notes are matched, checked and prepared for settlement.

04

Route dashboard

Utilisation, punctuality and cost per route in one live overview instead of a monthly report.

05

Demurrage documentation

Waiting and standing times at the ramp are documented with timestamps and evidence, and the demurrage claim is prepared ready to send — money that is otherwise lost for lack of proof.

06

Multilingual driver communication

Instructions, route details and queries are translated automatically into the driver's language and replies summarised for dispatch — fewer misunderstandings, fewer phone calls.

07

Pallet account management

Exchange receipts are captured, pallet balances per customer and partner are kept up to date and discrepancies are flagged — before open pallets turn into silent losses.

Practical examples

What projects in Logistics look like in practice

Typical project scenarios the way we implement them — from starting point to outcome. Real projects (without client names for confidentiality) are in our case studies.

01Status agent: "Where's my shipment?" answers itself

Starting point

The phone rings non-stop and status emails pile up in the inbox — even though the answer has been sitting in the TMS or telematics all along. Someone still has to look up the shipment, check the status and reply by hand, right in the middle of dispatch planning.

How we implement it

A status agent recognises incoming requests from email, portal or web form, pulls the current status from the TMS, telematics or tracking data, and replies in the language of the request. Complaints and sensitive cases go to your team with a prepared summary.

Typical outcome

Most standard status requests get answered without any human involvement — evenings and weekends included. Dispatch is interrupted far less often, and customers get faster, more consistent answers.

02Freight-document agent: CMR notes and delivery notes without retyping

Starting point

Waybills, delivery notes and receipts come back into the office as photos, scans or paper. Someone has to manually match line items, quantities and signatures against the order and key them into the system — a source of errors that repeats every day.

How we implement it

A document agent reads photos and scans of CMR waybills and delivery notes, matches the line items against the order and transfers the data into the TMS or accounting system in a structured way. Discrepancies are flagged for review instead of being waved through.

Typical outcome

Data entry now happens on the side instead of as a separate retyping session in the evening. Mismatches between the order and the freight document surface immediately, not at the next complaint.

03Demurrage agent: documenting waiting time without gaps

Starting point

Waiting time at the loading dock gets noted by the driver, sometimes forgotten, often too vague to bill. Demurrage that's rightfully owed regularly never gets invoiced at all.

How we implement it

A demurrage agent captures arrival and departure times from driver messages, telematics or timestamps, compares them against the agreed loading times and, when they're exceeded, prepares a documented demurrage line item — evidence included, ready for billing.

Typical outcome

Demurrage gets tracked systematically instead of remembered by chance. Customers receive a traceable invoice with timestamps, which noticeably shortens disputes over the amount.

04Route-planning agent: a proposal instead of mental arithmetic

Starting point

Route planning hangs on one dispatcher's experience. Every rush order or vehicle breakdown throws the day's plan into chaos and means manually re-sorting orders, time windows and capacity all over again.

How we implement it

A route-planning agent bundles open orders, vehicle capacity and customer time windows into a fully calculated route proposal and recalculates automatically whenever something changes. The dispatcher reviews, adjusts and approves.

Typical outcome

Half an hour of re-planning after a disruption becomes a few minutes of review. Empty miles and unused capacity become visible instead of only showing up on the fuel bill.

05Quoting agent for freight enquiries: from scattered request to draft

Starting point

Freight enquiries rarely arrive complete — weight, delivery address or date are often missing. By the time all the details are gathered and a calculation is done, hours have passed while customers are asking several carriers at once.

How we implement it

A quoting agent structures incoming freight enquiries, asks targeted follow-up questions for missing details and produces a preliminary calculation and quote draft based on your stored pricing logic. Sales or dispatch review it, adjust terms and send it out.

Typical outcome

Standard enquiries get a quote within hours instead of the next day. Sales time shifts from gathering basic data to the actual negotiation.

06Driver-cover agent: a replacement driver in minutes, not a phone round

Starting point

When a driver calls in sick, a round of phone calls begins: who still has driving-time budget left, who's qualified, who's nearby? Under time pressure, driving-time rules aren't always checked properly, and customers often only learn about delays when they call to ask.

How we implement it

A driver-cover agent proposes suitable replacement drivers based on driving-time account, qualification and location, automatically checks legal eligibility, and proactively informs affected customers about delays. The dispatcher picks a driver and approves.

Typical outcome

Re-planning after a no-show takes minutes instead of a half-hour of phone calls. Customers are informed before they call in, and driving-time violations under time pressure become rarer.

07Customs-document agent: less retyping, fewer queries at the border

Starting point

Every non-EU shipment requires a matching commercial invoice, packing list and certificate of origin — the underlying data already sits in the system but still gets typed into the forms by hand. Mistakes here trigger queries and delays at the border.

How we implement it

A customs-document agent reads order data, commercial invoice and packing list, cross-checks them automatically, and prepares drafts for the certificate of origin and export accompanying document, including a suggested customs tariff code. Trained staff review and file them.

Typical outcome

The same data no longer gets transferred by hand multiple times, and discrepancies surface before filing. Documents are typically ready for approval the day before pickup rather than under time pressure on the day itself.

08Damage-report agent: a complete case file instead of a puzzle

Starting point

A transport damage claim comes in by phone, email or a WhatsApp photo — usually incomplete. Photos or the damage note on the CMR waybill are missing, and by the time all the evidence is together, the tight deadline for the damage notice is already tight.

How we implement it

A damage-report agent takes in reports from multiple channels, matches them to the right order, actively requests missing evidence and flags the relevant CMR deadline in good time. It assembles the complete case file for your team or the insurer.

Typical outcome

Damage cases are more fully documented from day one, and deadlines are met more reliably. Resolution with the customer or insurer speeds up because the basis is complete from the start instead of pieced together afterwards.

09Empties agent: pallet accounts running continuously, not once a year

Starting point

Pallet accounts are kept in spreadsheets or not tracked systematically at all. Discrepancies between your own stock and what customers owe often only surface at the annual reconciliation — by which point clearing them up is tedious and the numbers are long out of date.

How we implement it

An empties agent automatically books pallet exchanges from delivery notes and pallet slips to the respective customer's account, keeps the balance current and flags discrepancies for review. Once a threshold is exceeded, it prepares a settlement proposal.

Typical outcome

Pallet balances per customer are always up to date instead of painstakingly reconstructed once a year. Discrepancies become visible early, which makes pallet reconciliations with customers noticeably less tense.

For context: these are typical scenarios from our project work — your business, your systems and your process shape the actual implementation. Let's talk about your case.

100 % integration — even without APIs

The most common objection: “Our software can't do that.” Our approach: if there is no interface, our agents work with documents, exports, emails or directly on the user interface — like a human employee. That's why “impossible” isn't in our vocabulary.

See all services

100 %

connectivity to your systems

24/7

on duty — no holidays, no sick days

+10 hrs

back per week (typical result)

How it works

From intro call to digital employee — in four steps

01

Initial consultation

You tell us which process in your day-to-day Logistics work costs the most time — free and with no obligation.

02

Process analysis (fixed price)

We look at systems, data sources and edge cases. The result is an implementation plan with a fixed price.

03

Pilot within weeks

Your first digital employee goes into test operation on your real data — with your approval at every critical step.

04

Operation & expansion

Once the pilot runs, the agent takes over for good. Then we automate further time sinks step by step.

GDPR-compliant on German servers or in your environment
Approval loops: nothing goes out without your OK
Every agent step is logged
Fixed price instead of hourly rates — full predictability

Frequently asked questions

AI in Logistics: the key answers

Does this work with our transport management software?

Usually, yes. We integrate into legacy TMS landscapes as well — via interfaces, exports or the existing user interface.

How reliable is the extraction of freight documents?

Very reliable — and honestly: the agent flags unclear cases for review instead of silently guessing. You stay in control.

Can multilingual enquiries be answered?

Yes, the shipment status agent replies in the language of the enquiry — practical in international transport.

What about night and weekend enquiries?

The agent works 24/7. It delivers the biggest relief precisely outside office hours.

How much effort is the rollout?

We start with one process (e.g. status enquiries) and expand after the first measurable success — typically a few weeks to the pilot.

Dig into your industry

The biggest time sinks in Logistics — in detail

Each article tackles one pain point: what it costs, how AI agents solve it and what that delivers in practice. Click a card to keep reading — the band pauses on hover.

See all articles
Blog5 min read

Pallet Accounts Under Control: Empties Management Without the Spreadsheet Chaos

Automate empties management: how AI agents keep per-customer pallet and cage accounts, spot discrepancies and trigger settlement — without the year-end scramble.

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Blog6 min read

Enforcing Demurrage: Documenting Waiting Time Without Gaps

Stop giving away demurrage for free: how AI agents document waiting time at the loading dock with timestamps and evidence, and prepare demurrage claims ready to send.

Read article
Blog5 min read

Reporting Transport Damage Without Form Chaos: Structured Claims Handling

Handle transport damage reports and claims with AI agents in a structured way: complete case data, clear deadlines, less arguing over liability.

Read article
Blog5 min read

Customs Papers and Export Documents: Less Retyping, Fewer Errors at the Border

Digitise customs and export documentation: how AI agents read commercial invoices, certificates of origin and export documents, and check them for accuracy.

Read article
Blog6 min read

Digitising Freight Documents: CMR Notes and Delivery Notes Without Retyping

Digitise waybills and delivery notes: how AI agents read freight documents, validate them and transfer them into the TMS — without retyping or hunting for paperwork.

Read article
Blog5 min read

Driver Called in Sick, Route on Hold: AI-Assisted Cover Management

Handle driver call-outs without a phone-tag fire drill: how AI agents suggest replacement drivers, notify customers and track driving-time limits.

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Blog6 min read

Answering Freight Enquiries Faster: From Inbox Chaos to a Finished Quote

Automate preliminary pricing for freight enquiries: how AI agents structure requests, pull rates from your pricing logic and prepare quote drafts for review.

Read article
Blog6 min read

Route Planning with AI: When the Dispatcher Stops Building Every Route by Hand

Route planning with AI agents: how digital employees automatically bundle orders, vehicles and time windows into routes — without replacing the dispatcher.

Read article
Blog6 min read

"Where's My Shipment?" — Answering Status Requests Automatically

Automatically answer shipment status requests: how AI agents resolve "where's my load?" with real tracking data and take the load off dispatch and customer service.

Read article

AI Potential Check

Where is the automation potential hiding in your Logistics business?

Our AI assistant asks you 5 targeted questions and instantly identifies which processes in your business are eating up time — free, in under 3 minutes. Our agent knows the typical time-wasters of your industry — and works just as well for any other: we automate every recurring process.

  • Free & no obligation
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Which process costs you the most time?

In a free intro call we'll tell you honestly whether and how automation pays off — specifically for your business.

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