
Artificial intelligence is no longer just for driving assistance systems in the automotive industry; It has settled at the center of the entire value chain, from production to sales, from charging infrastructure to after-sales services processes. The automotive and mobility ecosystem in Türkiye is starting to become an important part of global transformation with artificial intelligence-supported software-defined vehicles (SDV), smart charging solutions and data-oriented services. “Artificial intelligence in automotive is no longer an R&D topic; it is a mandatory transformation area due to regulations, user expectations and cost pressures.” Sarjagel.com General Manager Selçuk Nazik said, “From production to marketing, from maintenance and repairs to damage detection, from charging stations to supply chains, artificial intelligence plays critical roles in the development of our industry.” he said.
Driving safety and experience are redefined
Sarjagel.com, one of our country’s leading electric vehicle solutions portals, conducted a comprehensive research on the integration of artificial intelligence into the automotive industry. In recent years, the most visible use of artificial intelligence in automotive has been on-board driving support and safety systems. Advanced Driver Assistance Systems (ADAS) process data from cameras, radar and sensors with artificial intelligence algorithms; It manages critical functions such as lane tracking, adaptive cruise control, collision avoidance and emergency braking. Most of the new generation vehicles sold in the Turkish market are now equipped with artificial intelligence-supported driving technologies at L2 and L2+ levels. While this increases user security, it also brings with it a constantly evolving product understanding with software updates for automotive brands.

Sarjagel.com General Manager Selçuk Nazik emphasizes that this transformation is critical not only in terms of security but also in terms of user experience: “Thanks to artificial intelligence, vehicles are no longer static products. They are turning into mobility platforms that can be updated, learn and adapt to the user. This radically changes the perception of value in the automotive industry.” OTA updates are becoming the new standard in Türkiye.
On the other hand, the sustainable use of artificial intelligence in automotive makes software-defined vehicle architectures mandatory. Thanks to OTA (Over-the-Air) updates, driving support systems, battery management, energy efficiency and even in-car multimedia functions can be improved remotely. The spread of OTA-supported systems in both imported and domestically produced vehicles in Türkiye is also changing service habits. While users can receive software updates without physically going to the service; Brands can also monitor their vehicle fleets with real-time data. Selçuk Nazik stated that this structure plays a strategic role, especially in the electric vehicle ecosystem, and said, “Software is as critical as hardware in electric vehicles. Artificial intelligence-supported OTA systems offer the opportunity to continuously improve both battery performance and charging efficiency.” he said.
Battery, energy and charging management also benefits from artificial intelligence…
With the proliferation of electric vehicles, artificial intelligence has become a key technology in battery and energy management. Artificial intelligence algorithms; It makes range estimates more accurate by analyzing battery health (SOH), charge rate (SOC) and usage habits. The rapidly growing charging infrastructure in our country works more efficiently with artificial intelligence-supported solutions. Smart charging systems enable functions such as density prediction, dynamic pricing and energy load balancing. Drawing attention to the charging infrastructure, Nazik said, “Artificial intelligence in the charging infrastructure makes it possible not only to ‘give energy’ but also to provide charging at the right time, at the right point, with the right power. This increases both user satisfaction and network efficiency.” he says. Artificial intelligence in manufacturing: quality-control, efficiency and digital factories
Artificial intelligence in automotive production stands out as one of the most widespread and fastest-returning areas. Image processing supported quality control systems; It can detect paint defects, welding errors and assembly problems much more precisely than the human eye. Saying that these systems, which directly affect the competitiveness of our country, have started to be used by manufacturers in Türkiye, Nazik said, “Artificial intelligence-supported production systems enable Türkiye to become not only an assembly country in the automotive industry, but also a center producing high technology.” He stated: OEM and supplier factories operating in our country also optimize their production lines with predictive maintenance and digital twin applications. In this way, unplanned downtimes are reduced and production costs are kept under control. Artificial intelligence in damage assessment and insurance processes: from photo to decision Artificial intelligence stands out as one of the fastest commercializing areas in automotive damage assessment and insurance processes. Image processing and deep learning-based systems can automatically detect damaged parts through photographs taken from the vehicle; It can create repair method, part replacement and estimated cost items in seconds. In Türkiye, especially on the insurance and fleet management side, these technologies speed up expert processes, reduce operational costs and reduce the risk of abuse. In addition, issues such as deliberate misrepresentation and fraud can be prevented with artificial intelligence support.
Intervention period before failure: Thanks to connected vehicles and artificial intelligence, maintenance and repair processes are turning from reactive to proactive. By analyzing sensor data, ECU error codes and usage habits; Warnings can be generated before failure occurs in critical components such as battery, brakes, suspension and drivetrain. In Türkiye, this approach is of great importance, especially in terms of protecting battery health in electric vehicles, optimizing service planning and sustainability of second-hand value. According to Nazik, this transformation creates a new business model on the after-sales services side: “AI-supported maintenance and repair transforms services from being just repair points into data-powered mobility centers. This is a long-term gain for both users and industry players.”
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