The Role of AI in Optimizing ISO Tank Fleet Management in Jakarta
Jakarta is the capital city and the most prominent central business district in Indonesia, making the city crowded. Because of that, traffic jams are one of the things they cannot easily avoid. Badan Pusat Statistika DKI Jakarta (2023), reported the number of motor vehicles increased by 4% compared to the previous year. Jakarta's growing traffic problem makes it harder to ship goods for import and export.
According to The Jakarta Post (2024), Indonesia's logistics costs are also considered high compared to neighboring countries. We also can’t really rely on city development, as it would take years to fully develop. Hence, we should use what’s available to help solve the issue. One of the most used tools in this era is AI. The rise of AI usage, such as ChatGPT, Gemini, Deepseek, etc., indicates that AI benefits us in our daily work.
AI could help you take minutes of meetings in an instant after you finish, create a report on your work, or simply give you recipes for the most delicious food based on what you have in your fridge right now. It’s efficient, fast, and versatile, indeed a great innovation in this era.
In logistics, AI could help optimize decision-making. For instance, it could help find the best route by considering the weather, rush hour, traffic jams, maintenance predictions, and driver behavior. With the help of AI, we could also save more energy and cut many costs. Especially in the rainy season, some parts of Jakarta tend to flood, making route optimization even more critical.
A study by Patrício et al. (2025) about integrating machine learning in failure prediction and operational efficiency, shows a 100% increase in the mean time between failures and a 67% reduction in the mean time to repair. It also decreases 37.4% of the maintenance cost and reduces 71.4% in unplanned downtime costs. That’s such a big number for businesses, and it shows how much machine learning would help. This also means that AI prediction could be more precise and save more cost, energy, and time.
While AI could help in many ways, we must consider the installment process. Adding new tools to the system won't be as easy as snapping a finger. We have to take notes on the cost and the learning process, which could take time and resources. We don't even know if the AI is already precise, which could lead to problems in the future.
However, AI implementation has been used by some ISO tank operators to track their trucks in real-time when transporting cargo from one place to another, with enhanced safety systems and sensors to monitor tire pressure for automated tire management and solar panels to recharge the batteries, ensuring uninterrupted system operations. The sensors can also eliminate blind spots for the truck, adding more safety features for the driver.
Source:
Badan Pusat Statistik Provinsi DKI Jakarta. (2023). Jumlah Kendaraan Bermotor Menurut Jenis Kendaraan (unit) di Provinsi DKI Jakarta 2022. Retrieved 20 February 2025, from https://jakarta.bps.go.id/id/statistics-table/2/Nzg2IzI=/jumlah-kendaraan-bermotor-menurut-jenis-kendaraan-unit-di-provinsi-dki-jakarta.html
The Jakarta Post. (2024). Driving Economic Growth to 8 Percent by Reducing Land Logistics Cost. Retrieved 20 February 2025, from https://www.thejakartapost.com/front-row/2024/12/13/driving-economic-growth-to-8-percent-by-reducing-land-logistics-cost.html
Patrício, L., Varela, L., & Silveira, Z. (2025). Proposal for a Sustainable Model for Integrating Robotic Process Automation and Machine Learning in Failure Prediction and Operational Efficiency in Predictive Maintenance. Applied Sciences, 15(2), 854. https://doi.org/10.3390/app1502085