14.07.2026

How AI Is Changing Logistics: 7 Real-Life Examples

How many times in the past week have you manually copied cargo details from a Viber message into a website form — route, weight, date, body type — even though it was all already in the chat? Just five years ago, artificial intelligence in freight transport was a topic for articles about the future, not a working tool. Today it's different: drivers dictate orders by voice right behind the wheel, dispatchers upload screenshots of correspondence instead of entering data manually, and systems pick the most profitable return trip on their own. Let's look at seven concrete examples of how AI is already working in logistics — and how these capabilities are implemented in practice on Lardi-Trans.

1. Recognizing Cargo from a Screenshot

Most shipping orders don't arrive as a neatly filled-out form — they come as a messenger chat: text, a photo of a form, a scanned waybill. In the past, a dispatcher had to manually transfer this data into the system, spending several minutes on each order. AI image recognition lets you upload a screenshot of a conversation or a photo of a paper document — and the system determines the route, cargo type, weight, dates, and contacts on its own. On Lardi-Trans, this feature is built into the AI Import tool: just paste in an image, and the order is created automatically, with no manual entry required.

2. Voice Orders for Drivers on the Road

A driver behind the wheel can't comfortably type, yet it's often on the road that information about a profitable return load comes in. Speech recognition lets them simply dictate the details — route, body type, weight, date — and the system turns it into a complete order with all the parameters filled in. This isn't a distant prospect: voice input through Lardi-Trans's AI tools is already available and used by carriers every day, saving the time that used to go into calling a dispatcher or stopping to enter data.

3. Finding Cargo and Transport Without Manual Filters

Searching for the right cargo or transport on an exchange usually means filling in several filters — direction, body type, weight, dates — and scrolling through dozens of listings by hand to find a match. AI Search changes the way the request itself works: just describe what you need in plain text, a voice message, or a photo — for example, "need a load from Kraków to Kyiv, tarp, 20 tons, from Monday" — and the system shows matching offers on its own, with no need to set up filters manually. This is especially handy for people searching from their phone on the go who don't want to deal with a filter interface.

4. Data-Driven Counterparty Reliability Assessment

Checking the reliability of a carrier or shipper used to take hours: phone calls, searching for reviews, checking registries. Data-driven systems analyze a company's history of cooperation, how quickly it resolves disputes, the reputation of review authors, and how long it has been operating, producing a comprehensive rating in seconds. One click, and the platform pulls data from registries, court rulings, public databases, and Google reviews into a ready-made report. This is exactly how the AI Report in Lardi-Trans's Reliability Zone works, letting you decide whether to work with a partner quickly and with solid grounds — even before the first phone call.

5. Current Demand by Direction

Manually tracking where demand is currently higher and where the market has softened takes a lot of time, especially if you work several routes at once. Cargo Statistics on Lardi-Trans shows listing trends over the past 30 days: which directions currently have more loads being posted, and where supply is outpacing demand. This isn't a forecast for the season ahead, but an up-to-date snapshot of the market over the last month — one that makes it easier to decide where it pays to drive this week, instead of relying on intuition or memories of past trips.

6. An Order from an Ordinary Message

Real orders rarely look like a perfectly filled-out form. More often it's a short message like "need 15t from Poznań to Lviv Mon–Tue pallets" — unstructured, full of abbreviations, sometimes with typos. Natural language processing (NLP) can identify all the key parameters in such text: direction, volume, packaging type, deadlines. This frees dispatchers and drivers from having to rewrite the information in a formal format — all you need to do is copy the message from Telegram, Viber, or WhatsApp into AI Import, and the system builds a structured order on its own.

7. Bulk Import of Loads from Files

Large shippers and logistics companies often track shipments in Excel spreadsheets or receive order lists in Word format. Manually creating dozens of individual orders from such a file takes hours of routine work. AI document-structure analysis can automatically recognize a table or list and turn each row into a separate order with correctly assigned parameters. This is especially valuable for companies handling large volumes of cargo that need to get onto the transport market quickly without manually duplicating data into the platform's AI tools.

What This Means for Business Today

None of these examples requires a carrier or shipper to have technical expertise or to invest in their own infrastructure. These are ready-made tools built into a platform that companies already use every day. The real value of AI in logistics isn't the complexity of the technology — it's the time saved on routine tasks: creating an order, checking a counterparty, filling in a search form by voice, text, or photo instead of manually setting up filters. The final decision — which option to choose, who to call, who to work with — still rests with the person: AI removes the routine work around that decision, not the decision itself.

What If I Haven't Tried AI Tools Yet?

This is the most common reason the benefit stays only on paper. Let's address three typical concerns.

"It's complicated, I'd need to learn the technology" — in practice, sending a voice message or a screenshot from a chat takes fewer steps than filling out a form by hand. If you know how to send a photo in Viber, you already know how to use AI Import.

"It's something new and untested" — in reality, this isn't experimental technology at all, but functionality that carriers and shippers already use on Lardi-Trans every day, processing tens of thousands of orders.

"Everything already works for me, why change a process I'm used to" — your usual process isn't going anywhere; the manual-entry forms stay right where they are. AI tools are simply a faster route to the same result: you can start with a single order and gradually use them more if you like how it works.

Conclusions

Carriers and shippers who started using these capabilities ahead of their competitors gain a real advantage: fewer empty runs, faster decisions on cooperation, and more time for the actual work instead of admin tasks. Artificial intelligence in logistics is no longer a question of the future — it's a tool you can start using today, without changing your usual workflow, simply making it faster.

Useful AI- and data-analytics-based tools on Lardi-Trans: