IRN Logistic case study: a fleet management system for 113 assets in Batam
IRN Logistic runs INDUSIA's fleet management system and TMS for 23 trucks and 90 chassis, 113 assets on one screen, across container, crane and condor jobs in Batam.
Published
- Trucks and chassis shown on one screen
- 113 assets
- Each with GPS and a fuel sensor on its tank
- 23 trucks
- Each paired to its container by QR code
- 90 chassis
- Container trucking, crane and condor orders in one system
- 3 job types
About the client
Who is IRN Logistic and what does it run in Batam?
IRN Logistic is a container trucking company in Batam. It moves containers with 23 trucks and 90 chassis, and it also takes crane and condor jobs. INDUSIA built the fleet management system and transport management system that IRN uses every day.
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The company operates from Batam, one of Indonesia's busiest industrial and port areas. Trucks, chassis, drivers and paper delivery notes all move through a few busy sites every day. That makes a trucking operation easy to run but hard to see as a whole.
IRN Logistic is the first company to run the INDUSIA platform for trucking and the reference operation for our fleet management system. The company name and logo appear here with its agreement.
What problem did the trucking operation need to solve?
A trucking owner has many things to watch at once: where each truck is, which chassis carries which container, how much diesel each tank holds, and whether each delivery was signed for. INDUSIA brought these views into one system so the owner no longer needs separate tools.
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Before one system, these questions live in different places: a phone call to a driver, a paper delivery note, a diesel receipt, a note at the gate. Each source can be late or incomplete, and nobody sees the whole picture on one screen.
The goal was simple to state. Every truck, chassis, order and tank should show up in one place, in near real time, and every delivery should leave a record that people can check later.
What did INDUSIA build for IRN's fleet management system?
INDUSIA built one connected system. It has a live fleet map with GPS, a driver app on the App Store and Play Store, attendance, orders and delivery notes, e-POD, an RFID gate, QR pairing of container and chassis, a fuel sensor on each tank, OCR of delivery notes, and a WhatsApp AI assistant for the owner.
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The pieces share one database. An order created by the dispatcher is the same order the driver accepts in the app, the same order the gate sees, and the same order that ends in the e-POD. Nobody retypes data between tools.
The table below lists what runs at IRN today. Each row is a system that is live in daily work, not a plan.
| System | What it does |
|---|---|
| Live fleet map and GPS | Shows every truck on one map |
| Driver app (App Store and Play Store) | Drivers accept jobs, scan steps, sign e-POD and clock in |
| Orders and delivery notes | One order from dispatch to proof of delivery |
| RFID gate | Reads trucks at the yard without a tap |
| Container and chassis QR pairing | Links each container to the chassis carrying it |
| Fuel sensor per tank | Reads diesel level on every truck |
| OCR of delivery notes | Reads paper delivery notes into the system |
| WhatsApp AI assistant | Answers the owner's questions from recorded data |
How does the system run on a normal working day?
On a normal day the dispatcher creates an order, a driver accepts it in the INDUSIA app, and GPS puts the truck on the live map. The gate reads the truck by RFID, the container is paired to its chassis by QR code, and the driver closes the job with an e-POD signed on the phone.
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The driver app walks the driver through each job step by step, with a scan at each step. The driver's attendance starts from the first job accepted that day, so it follows the real work instead of a separate sheet.
While trucks run, the fuel sensor on each tank is read together with GPS. Paper delivery notes are read by OCR into the same record. At the end of the day the data is already in the system, not in a pile of paper.
What do IRN's people do with the system?
IRN's people use INDUSIA's system as their daily tool. Dispatchers create and follow orders, drivers work through the app, gate staff rely on the RFID reader, and the owner watches the live map and asks the WhatsApp AI assistant questions about the fleet.
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The AI assistant reads recorded data. It does not change orders on its own. Suggestions about trucks and drivers are for a person to approve. The people stay in control of the operation.
INDUSIA also stays close to the team after go-live. Our team works with IRN's staff in the field so the system fits how the yard really works.
How big is the system, and when will results be published?
INDUSIA's system at IRN covers 23 trucks and 90 chassis, which is 113 assets on one screen. It runs container, crane and condor jobs in Batam. Before and after results will be published here once they are measured. We do not publish numbers we have not measured.
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Scale is the one thing we can state today, and it is a fact IRN can check: every truck and chassis in the operation is on the same screen.
If you run a trucking fleet and want to see the system working, the INDUSIA team can show the live system and explain how a similar setup would fit your yard. Start with the fleet management system page or contact us.
The system behind this case
Fleet & TransportationFleet management for container, crane rental, cargo, repo and condor jobs: RFID gate, GPS, fuel sensor, workshop, e-POD and invoice.Talk to us about your site
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