Graphen Automotive

Transform the Automotive Repair Industry with AI

In 2020, the automotive repair and maintenance services industry had an annual revenue of about $115 billion in the US alone. The global market is expected to grow from $641.4 billion in 2020 to $690.07 billion in 2021 at a compound annual growth rate (CAGR) of 7. There is a huge demand to advance the technology used in the industry.

Graphen partnered with one of the largest enterprises in the industry and developed an advanced Car Doctor for car repair and maintenance with advanced AI technology.

There are two major problems the automotive repair and maintenance market faces that are affecting the efficiency:

difficulty in finding maintenance information;

low efficiency in fault diagnosis.

Graphen integrates advanced AI to solve these problems. By establishing the diagnosis database through advanced, domain specific graph database, Graphen is able to see the complex information for each vehicle including its maintenance history, geographical influence, etc. Graphen's technology establishes the model through machine learning and deep learning, largely increases the efficiency in diagnostics. It can also provide further failure risk prediction and proactively suggest and provide customers with maintenance services in advance.

Conversational Car Assistant While You Drive

Graphen developed a voice-based Aica Car Assistant dialog app available on smart phones. This advanced AI system can handle voice or text questions and answers:

uses Ardi tools to provide adequate natural language understanding capability and generic knowledge to get answers;

compatible with some of the available voice communication platforms including Alexa, Siri, Google Assistant, etc;

searches internal database to provide answers;

utilizes Ardi Knowledge for general questions, if the internal database does not have the answer;

composes responses with user's natural language speaking and responds with information accessible through the existing database, provides a continuous conversation to help get the information needed, able to present choices and/or ask follow-up questions to help clarify user's intent.