2019 has proved that digital transformation is now a matter of survival for automotive companies — you either respond to the trends and innovate or vanish from the market. Although digital transformation is not limited to AI, it is Artificial Intelligence that has been making some dramatic changes in the automotive industry lately.
Although AI has seen massive investment and 10% of automotive companies have been deploying AI at scale during the previous year, experts still consider such automotive’s AI transformation slow, since 80% of all industry players name AI their core strategy. Thus, there is a great missed opportunity your company can tap into.
Here are 6 ways AI technology has been changing the automotive industry in recent years.
AI and autonomous driving are inseparable. While autonomous driving is making the news in the automotive industry, AI-powered driver assistance has become quite a widespread feature drivers now anticipate in their cars.
AI monitors dozens of sensors and can instantly respond to dangerous situations by alerting a driver, emergency braking or taking emergency control of the vehicle. Artificial Intelligence and machine learning have been also successfully applied in navigation software, blind-spot monitoring, and simply making a driver comfortable, for example, by adjusting a seat and mirrors and suggesting entertainment.
Recently, AI has introduced the notion of ‘predictive maintenance’ into the automotive industry. What made AI a true gamechanger in this domain is the ability to aggregate and analyze big data from multiple sources: sensor data from a vehicle, historical maintenance records, and weather data.
This way, AI allows detecting problems before they affect vehicle operation and preventing sudden failures when assets are running at their peak performance.
In recent years, the insurance industry has embraced the use of AI in connected cars to help to access risk in a real-time mode and speed up the process of filing a claim if an accident happens. AI takes account of individual driver factors and recent events rather than just driving history to create accurate risk profiles.
What is more, technology like Dingsunbao 2.0., a popular app on the Chinese auto market, has enabled drivers with guidance and tools to perform their own auto damage assessment for insurance companies.
The spread of AI has had a great impact on car manufacturing too. One of the notable changes of recent years has been the emergence of smart and wearable robots that now work with, not instead of, their human assembly line counterparts. Such collaborative robots understand what people are doing and, thus, adjust their motions avoiding injuries. In addition to that, AI-powered painting and welding robots can now identify defects in materials and alert quality control staff.
Another AI-powered technology that has become used in car manufacturing is an Automated Guided Vehicle (AGV). Relying on artificial intelligence and no human assistance, AGVs identify the loaded objects, adjust their routs and deliver materials to various parts of automotive plants.
Artificial intelligence allows automating not just predictive maintenance, but also other supply chain processes such as demand forecasting and production planning. For example, FPT-Software has developed AI-powered solutions that can
- automatically calculate the remaining space of the warehouse and recommend the best loading options for a specific type of product in a specific warehouse
- semi-automate checking and loading of parcels into the truck,
- use cognitive visual recognition to help check products before receipt in the warehouse
- automatically count the number of changeable seaport crane lifts, etc.
AI chatbots have also been successfully used to speed up the processes of completing custom documents and order queries.
While some manufacturers were focusing on helping the driver watch the road, new AI apps that watch the driver have entered the market. AI software can tell if the driver is in his vehicle as well as automatically adjust the seat, the mirrors, and even temperature when one of the regular users of a car gets into the driver’s seat.
Head position and eye openness allow the software to detect drowsiness and wake up the driver while gesture recognition has become a useful way to manage infotainment while writing. AI software can even analyze the upper body position during an accident and adjust airbags deployment accordingly.
Last but not least, AI has been increasingly used in the automotive industry to boost marketing results. For example, according to Capgemini’s report, Volkswagen has been using Artificial Intelligence to predict sales of 250 car models in 120 states. Along with growth forecasts, the software analyzed the information on economic and political conditions and meteorological data. A showroom of the future using AI and VR technologies to study the preferences and make well-tailored recommendations had a great impact on the company’s sales too.
All in all, AI has had a great impact on the automotive industry and its potential to transformation is immense. Advances in AI technology create exciting opportunities for both big businesses and startups around the world. Stay tuned to our insights to be able to meet the future needs of the automotive market.