AI Technology in inDrive Transportation Services

Sun, 02 Feb 2025 08:34 | Artificial Intelligence | Editorial INTI

Jakarta, INTI - The integration of artificial intelligence (AI) is now being increasingly applied across various industrial sectors, including transportation, with the aim of enhancing efficiency and service quality.

One clear example of AI implementation can be seen in the global ride-hailing service, inDrive, which plans to adopt AI technology into its platform starting in 2025.

According to a report from Antara on Friday, January 31, 2025, inDrive will utilize artificial intelligence to improve demand prediction accuracy, optimize driver-passenger matching, and accelerate response times. With this technology, waiting times can be significantly reduced, making the user experience smoother and more efficient.

"With AI integration, inDrive is gradually reconfiguring its system within the application. This step aims to enhance speed and response accuracy, ultimately providing better service for users," said inDrive Indonesia Communication Manager, Wahyu Ramadhan, in a press statement received on Friday.

Additionally, inDrive is introducing an AI-powered chatbot designed to provide faster, more responsive, and efficient customer service for various user inquiries and complaints. Furthermore, a real-time security monitoring feature has also been implemented to enhance protection for both passengers and drivers, creating a safer and more comfortable riding experience for all.

What Features are Offered?

inDrive also implements the innovative "name your price" model, allowing users to negotiate fares directly with drivers.

This scheme provides greater flexibility for both passengers and drivers in determining a mutually agreed-upon price, creating a more affordable and fair ride experience for both parties.

Additionally, inDrive adopts a hyper-local strategy, enabling its services to adapt to the economic and cultural conditions of each region.

This approach makes inDrive more adaptive in serving various cities, including Tier 2 and Tier 3 areas that were previously underserved by conventional ride-hailing services. As a result, more people can enjoy efficient and accessible transportation services.

The integration of multiple transportation modes is another innovation introduced by inDrive. By offering multi-modal travel options—including ride-hailing, bicycles, electric scooters, and public transportation—urban mobility becomes smoother.

The AI-powered multi-modal system enables faster, more cost-effective, and environmentally friendly travel, positively impacting transportation efficiency and sustainability.

As technology continues to advance rapidly, ride-hailing applications are also evolving into super-apps, offering various additional services within a single platform.

Users can not only book rides but also access other services such as online shopping, digital payments, and logistics, making daily activities more convenient within an integrated digital ecosystem.

In the delivery and logistics sector, artificial intelligence also plays a crucial role in improving operational efficiency. AI technology enables more optimal route planning and order bundling within a single system to maximize delivery effectiveness.

Additionally, automation in logistics processes accelerates order processing at a lower cost, aligning with the growing demand in the rapidly expanding e-commerce industry.

Conclusion

With the increasing adoption of artificial intelligence across various sectors, inDrive has become one of the companies leveraging this technology to enhance efficiency and user experience in transportation and logistics services.

Through its hyper-local strategy, integration of multiple transportation modes, and super-app approach, inDrive not only focuses on mobility convenience but also creates more inclusive and affordable services.

Additionally, AI technology applied in the logistics sector helps optimize the delivery process and improve operational efficiency.

With these innovations, inDrive contributes to shaping a more advanced, flexible, and user-oriented ecosystem for transportation and digital services across various regions.