Why Do Transport Companies Waste Time Where They Shouldn't?
If you manage a logistics or transport company in Lithuania, you probably know this scenario well: your best dispatchers and coordinators—the people you pay a significant salary to for solving complex problems, optimizing routes, and generating revenue—spend up to 70% of their workday acting as mere telephone operators.
They perform repetitive, routine calls that have absolutely minimal value for business growth itself. "Where are you?", "Have you loaded?", "When will you be at the unloading point?", "What light is on that GPS device?". This is not strategic work. These are hundreds of calls per day, thousands of working hours per year, and tens of thousands of euros wasted simply on gathering routine information. In today's highly competitive market, **transport automation** is no longer a luxury that only giant corporations can afford—it is a matter of survival and maintaining profitability. This is where **AI logistics calls** come to the rescue.
The POSKAI platform was built with a deep understanding of this specific problem faced by Lithuanian businesses. We have created an artificial intelligence phone assistant that doesn't just text or react to commands but performs and receives real, live phone calls. It calls your drivers, answers your customers, coordinates routes, and solves technical problems. Let's look at real, everyday use cases that show how POSKAI transforms the daily work of transport companies.
Morning Dispatch: How a 2-Hour Task Becomes 5 Minutes
Every transport coordinator's morning typically begins with a long and exhausting marathon of calls. They need to call 20, 30, or even 50 drivers, check their status, ensure they are loaded, confirm there are no technical obstacles, and find out exactly when they will depart for their planned route. Calling one driver, having a brief conversation, and noting down the information takes at least 3-5 minutes. If you have 30 drivers, a dispatcher spends up to 2 hours every morning just to collect basic data. And this repeats every single day.
**With the POSKAI AI phone assistant:** Artificial intelligence calls all your drivers simultaneously, for example, exactly at 7:00 AM. Since our platform can support more than 500 synchronous calls at once, the entire process takes exactly as long as one short conversation—about 1-2 minutes. The conversation feels completely natural, without a robotic voice:
POSKAI AI: "Good morning, Jonas. This is the dispatch assistant. I'm calling for a quick check to see if the cargo has been successfully loaded and if you are ready to depart for the Warsaw logistics center?"
Driver: "Yeah, hello, it's loaded, I'm just sorting out the CMR documents now, I'll be moving in about 15 minutes."
POSKAI AI: "Understood, great, I'm logging that in the system. Is everything okay with the equipment, do you have any issues?"
Driver: "Everything is fine, no problems."
POSKAI AI: "Alright, have a good and safe journey. If anything changes, be sure to let us know. Goodbye."
What happens after these 5 minutes? Your dispatcher simply opens the POSKAI control panel (dashboard) or a connected spreadsheet on their computer and sees a full, clear summary: 28 drivers are moving successfully, 1 is delayed due to documents being processed, and 1 did not answer the call at all. The dispatcher picks up the phone and personally calls ONLY those two with exceptional or problematic situations. Instead of losing two valuable morning hours, they lose just 5 minutes and can immediately start planning routes, coordinating new orders, or communicating with strategic clients.
"Where's My Cargo?" – 24/7 Customer Inquiry Automation
How many times a day does your dispatch or customer service phone ring just for a customer to ask the same trivial question: "Hello, this is from Company X, I wanted to ask – where is my cargo right now and when exactly will it arrive?" These calls are absolutely essential for maintaining customer satisfaction, but they constantly interrupt your team's deep work. Furthermore, these inquiries often come in after standard working hours, in the evenings, or on weekends, when no one is in the office, and customers, not receiving an answer, remain dissatisfied and uncertain.
POSKAI completely solves this logistics classic through deep integration with your company's GPS tracking equipment and transport management systems (TMS). When a customer calls, our AI assistant automatically identifies them by their phone number or politely asks for the order number.
Example of a real conversation:
Client: "Hello, I'm waiting for a shipment to the Kaunas warehouse, the order number is 4452. Can you tell me when it's scheduled to arrive, as we need to plan the unloading ramps?"
POSKAI AI: (Instantly checking the tracking system) "Hello! Yes, I see your order number 4452. The truck is currently moving on the highway and is about 50 kilometers from Kaunas. According to current traffic conditions, the estimated arrival is between 2:30 PM and 3:00 PM. Would you like the driver to call you personally 15 minutes before arriving at the ramp?"
This is the best example of **inbound logistics call automation**, operating 24 hours a day, 7 days a week, without any days off or holidays. Your customers receive instant, accurate answers without waiting in line listening to background music, and your dispatchers are forever rid of dozens of disruptive, routine calls every day. This way, you ensure top-class service without hiring a single additional employee.
GPS Tracker Troubleshooting: A "Decision Tree" for Colored Indicators
One of the most time-consuming and frustrating tasks for technical support teams in logistics companies is remote equipment troubleshooting. Often, a GPS tracker stops working for a driver on the road, a tablet freezes, or an electronic toll collection device malfunctions. The driver, agitated, calls the dispatcher or technical support, and a long, tedious game of "what's burning there and what do you see?" begins.
A POSKAI AI assistant can be programmed to operate according to very complex "Decision Tree" algorithms. This means the assistant systematically, step-by-step, diagnoses the problem exactly as your most patient IT specialist would, but without stress, emotions, and annoyance.
POSKAI AI: "Hello, this is technical support. What problem are you encountering?"
Driver: "Listen, that GPS box isn't working for me, it's not showing that I'm driving, the system is stuck."
POSKAI AI: "Please look at the front panel of the box. What colors are the lights currently lit or blinking?"
Driver: "One is solid green, and the other is constantly blinking red."
POSKAI AI: "A blinking red light means that the device is currently not finding a GSM mobile network connection. Please check if the small black antenna is not loose. If it is securely screwed in, unplug the power cord from the box, wait 10 seconds, and plug it back in. Tell me when you've done that, I'll wait."
Practice shows that even 70–80% of such technical problems are completely standard and solvable within minutes using simple, structured instructions. The AI assistant completely takes over this primary level of technical support. Only if the problem still persists after all "Decision Tree" steps (e.g., the device is completely burnt out), the assistant automatically switches the call to a live technical specialist and provides all the already collected information: "To driver Tomas, truck ABC123, red light is on, restart didn't help, antenna in place, connect with engineer for detailed inspection." This drastically saves valuable IT and support team time.
Multilingualism for Drivers: When Your Team Speaks 5 Different Languages
It's no secret that the modern Lithuanian, like the entire European, transport and logistics market cannot survive without foreign labor. Your company's drivers may be from Ukraine, Poland, Uzbekistan, Germany, or Kazakhstan. How can you effectively coordinate their work if your dispatchers only speak fluent Lithuanian and a little English or Russian?
Hiring dispatchers who professionally speak four or five different languages is incredibly expensive, and often simply impossible—such unique specialists are simply scarce in the labor market. This is where POSKAI creates an absolute, hard-to-replicate advantage. Our AI phone assistant has **"Native Multilingual" support**. It can start a conversation in Lithuanian, and if the driver responds in Ukrainian, the system instantly, without any delay, switches to fluent Ukrainian, without a synthetic accent and with the correct logistics context.
The process looks like this: Your dispatcher enters all instructions, loading addresses, and times into the platform in Lithuanian. POSKAI AI calls the driver from Poland and provides all the information to them in correct Polish. The driver confirms in Polish: "Tak, będę na miejscu o 14:00". The system translates this response, processes it, and displays it in Lithuanian on your dispatcher's screen: "Confirmed – will arrive at 14:00". This completely eliminates any language barriers in your company, allows you to fearlessly expand hiring from entirely new countries, and guarantees that no costly mistakes will occur simply due to a basic misunderstanding or a poor accent.
Route Confirmations Between Warehouses, Drivers, and Customers
Finally, logistics by its very nature is a continuous, daily process of communication and coordination. "Can you accept the cargo at 2 PM instead of 12 PM?", "Will warehouse X have a free ramp tomorrow morning?", "Does the refrigerator temperature meet the requirements?". For everything to run smoothly, dozens of such short coordination calls are needed daily.
The POSKAI assistant becomes your reliable virtual coordinator, who can perform these coordinations fully automatically. Imagine a real situation: a truck is delayed due to an accident on a German road. The dispatcher simply notes in the TMS system that the truck will be 2 hours late. POSKAI AI reacts instantly: it automatically calls the loading location, the unloading location, and the final customer, explains the situation in natural language, sincerely apologizes, and confirms the new, updated arrival time. This means zero stress for your team and 100% professional informing for all supply chain participants.
Comparison: Why Logistics Leaders Choose POSKAI, Not Other AI Tools?
Today, you can find dozens of American AI calling platforms (such as Vapi, Synthflow, Bland) or small local tools offering "voice bots" on the market. However, logistics companies don't need an IT experiment, but an industrial-grade, stable solution. A solution that strictly complies with EU law, works flawlessly with local Baltic and Eastern European languages, and allows for massive, reliable outbound calls.
| Platform | Lithuanian Language Quality | Outbound (Mass Outgoing Calls) | GDPR and EU Data Residency | Technical and Service Model |
|---|---|---|---|---|
| POSKAI | ✅ Natural, Native-level conversation | ✅ Up to 500+ calls simultaneously | ✅ 100% EU servers, full data encryption | Fully managed (SaaS) service, we implement everything |
| AInora | ✅ Supports (focused on LT) | ❌ Usually only handles inbound calls | ⚠️ Depends on specific integration | Partial implementation / Admin. assistant |
| US platforms (Synthflow, Vapi, etc.) | ⚠️ Robotic, with a strong accent, incorrect grammar | ✅ Available, but limited accessibility and cost for EU numbers | ❌ Data sent to the USA (high legal risk) | "Do It Yourself" (DIY) tools for programmers |
POSKAI is not another "do-it-yourself" platform that will require your IT department (which you may not even have) to launch and maintain it. We are your technological partners. We implement the system, configure it according to your unique processes, set up integrations, and continuously support your logistics AI assistant. Furthermore, absolutely all your company's call data, driver phone numbers, and routes remain exclusively within the European Union territory, protected from any GDPR infringement risks and penalties often associated with the irresponsible use of American platforms.
AI logistics calls are not a distant future. They are the present for the most efficient companies. Transport companies that implement smart automation today not only directly save tens of thousands of euros in their salary fund but also free up their teams for tasks that build strong customer relationships and generate real profit, instead of senselessly burning hours on the phone.