7 Impactful Use Cases of AI in the Automotive Industry

The profound influence of AI has clearly taken over a large area. In every industry, people are looking for the same level of intelligence that is present in smart phones and computers. AI in medical devices, AI to prevent financial fraud, AI for automatic code writing, and many more applications have already been seen in the recent past. Along with these, there has been a lot of advancement in the automotive industry since the rise of AI. AI-driven vehicles and industrial robots in production houses are just a few to highlight AI’s significant impact. Big names like Volvo, Mercedes, Tesla, etc. have started embracing and leveraging AI development services to elevate customer experiences. But the question is: what role does AI play in the automotive industry?

AI can be utilized in varied manners in the automotive industry. Right from the design of the vehicle to its final production, marketing and selling it to the end customer is something that AI is capable of. Leading automotive brands are utilizing AI so that they can attract more customers with the enhanced performance of the vehicle and customer satisfaction.

Let’s see in brief some of the common use cases of artificial intelligence in the automotive industry.

1) Preventive Measures for Drivers: With the help of sensors, the AI system helps in detecting any abnormalities or blind spots ahead. It also guides the steering and keeps a watch ahead, as if there is an animal or pedestrian walking. With this assistance, the driver remains well informed about the dangers and reduces the risk of accidents.

2) Adjustments as per Driver: The AI-based algorithms detect who is sitting in the driver’s seat. It remembers information about the driver and adjusts the seat accordingly. Along with that, it sets the AC temperature and mirror angle as per the earlier preference set by the driver, giving the necessary comfort one wants. AI also detects the position of the head and the condition of the eye. If anything, as usual, is found, it immediately starts an alert.

3) Self-Driving Vehicle: By leveraging technologies like machine learning, deep learning, and big data, a pinnacle in the AI industry—autonomous vehicles—has come up. Self-learning and self-driving cars have taken center stage, although there are many underlying regulatory challenges. The widespread adoption of these cars is because they require minimal human intervention and follow traffic norms and regulations religiously.

4) Personal Assistant: Just like Siri or Alexa assists us in our daily tasks, AI-assistants learn continuously from our preferences about AC temperature, music choice, guide us about distance travel, navigate the roads, etc., providing us with personalized experiences. This can be done by leveraging AI technologies like NLP and computer vision.

5) Supply Chain Management of Vehicle Components: The supply chain management of vehicle parts has been made really easy with the help of AI-based, fully automated systems. It leverages AI and ML to transport the components to any part of the world with optimum volumes and suggest the best route.

6) Vehicle Insurance: AI can help both drivers and insurance companies claim the insurance quickly. It makes it easier for drivers to fill out the insurance claim by providing appropriate details about the incident. For the insurance company, it helps by analyzing the damage to the vehicle, leading to a faster claim process.

7) Quality Check: AI-based inspection systems help to detect the slightest defect at an early stage. This saves a lot of time and helps in delivering the best quality to the end customers. The quality control of the vehicle at each stage helps reduce the turnaround time. 

Wrapping Up:

The wide adoption of AI development services in the automotive industry is a result of these above-mentioned use cases. It is safe to invest in AI and innovation to deliver a vehicle that is safe and highly efficient on the roads. This is just the beginning; we anticipate many more advancements coming soon.