Artificial Intelligence Assistant

To address ECU errors in cars, artificial intelligence tools identify the root causes of these errors and offer appropriate solutions. Additionally, these tools assist users in extracting the specific visual reports they need from a vast amount of data.

Rapid Detection & Resolution of ECU Errors

Artificial intelligence tools can interpret and analyze error codes based on the car's model, providing the necessary steps to rectify each error. Timely and precise fault diagnosis plays a crucial role in preventing vehicle breakdowns and reducing maintenance costs. Consequently, Dolphin Company offers the unique capabilities of artificial intelligence in its cloud system to identify ECU errors in cars, determine their causes, and provide suitable solutions to fix them.

Quick Access to the Desired Reports

Artificial intelligence tools allow users to look through a vast amount of data and find the answers to their questions. The data visualization section in the Dolphin system offers a suitable response according to the user's current needs. In fact, users can access answers to their questions in a short period of time without having to face a large amount of information and charts.

Artificial intelligence solutions have revolutionized fleet management to improve vehicle performance and increase safety. This application of AI in the field of vehicle management includes vehicle and driver data analysis, vehicle troubleshooting, and more. Imagine using artificial intelligence to predict when cars require maintenance, reducing downtime and repair costs. Additionally, artificial intelligence can also be very helpful in obtaining customized reports from vehicles.

Features

Handling a substantial volume of requests simultaneously while maintaining response quality

Accurately analyzing fleet data and delivering meaningful insights based on available information

Providing relevant information in response to users' questions with quick access to vehicle fleet data

Personalizing reports and responses for users by learning from the way they request information