Automotive industry accelerates in digital
In an increasingly complex environment, the automotive industry requires technologies capable of offering a competitive advantage. The Internet of Things (IoT) is essential for developing advanced functions and services that provide optimization and efficiency at all stages of the automotive production process
The automotive industry is undergoing significant transformation. With a changing landscape driven by technological advancements, software-based business models incorporating connectivity and other technologies into their products and services, thanks to the Internet of Things (IoT), large automotive manufacturers have sought partnerships to address these new challenges and opportunities in their production processes.
The shift from hardware-driven to software-driven technologies in this field has allowed vehicles to become software centers, integrated with smartphones, advanced information and entertainment systems, and driver assistance functions. This translates into a more personalized and seamless driving experience.
Moreover, these companies have also found that digital technology must be part of their sales and after-sales services, including the technical aspects and all post-manufacturing processes such as transportation (distribution), salesrooms, customer service, and additional services associated with maintenance and issue resolution.
For example, AZLOGICA®, a leading IoT solutions company in Latin America, developed the Deep Eye platform for the South Korean multinational company KIA in Colombia, revolutionizing its automotive management by providing reliable and real-time data for decision-making in its business processes.
With advanced tracking and control technology, KIA uses the AI-based monitoring system, Deep Eye, to measure and identify various aspects of a customer’s journey through a KIA showroom in real-time. The system collects and analyzes data within the showroom to provide accurate information about traffic, customer satisfaction, interest in a vehicle, and through heat maps, the efficiency of the showroom’s design.
By accurately identifying customers and their preferences, Deep Eye allows the automotive company KIA to optimize the sales process and improve customer service quality. For example, the system identifies high-traffic areas in the showroom and suggests improvements to achieve greater productivity.
AZLOGICA®’s Deep Eye solution for KIA is equally effective in the service modules. It ensures efficient operations in the workshop area by accurately tracking the availability of technicians, managing their schedules, absenteeism, or free time, generating greater efficiency and profitability, measuring productivity, and optimizing service times. The platform also provides real-time information to capture customer satisfaction levels.
With this technology, employing IoT and AI implemented by AZLOGICA®, facial recognition is also achieved, streamlining processes and enhancing personalization. Thanks to Deep Eye, KIA also recognizes specialized equipment, tracks its usage, and generates heat maps to visualize traffic flows within the workshop.
Consulting and analysis firms such as Deloitte, Accenture, and McKinsey & Company emphasize that the adoption of digital technology by automakers requires partnerships with technology companies. Moreover, these companies need to focus on data management to become more competitive in all their production processes.
Therefore, connectivity, associated with fundamental factors such as performance, safety, and efficiency, is essential as a solution in the field of the automotive industry. It is crucial, for example, in shared mobility, efficient operations, and vehicle tracking. Similarly, it plays a vital role in energy management to achieve efficient charging and facilitate the integration of electric vehicles into a network. Lastly, connectivity is crucial in digitization to enable a continuous flow of data, facilitating remote diagnostics and even software updates.
The automotive industry is becoming increasingly complex and requires skills and specialization. This is why it now shares risks, knowledge, and resources with software and technology companies capable of providing advanced digital functions to gain a competitive advantage by meeting customer expectations at various stages of the production chain.
The essence of the Internet of Things
With its various digital tools of 4.0 technology, AZLOGICA® offers several options in the automotive sector. For example, its IoT system for Renault, called Renault Conectado Movilidad Sostenible, utilizes its iCON® solution to provide visualization and management of data generated by the vehicles, benefiting users and managing connected fleets of the brand.
This customized platform provides real-time information about vehicle performance, fuel consumption, maintenance, and driving. Additionally, through its ECODRIVE® solution, it monitors energy consumption to reduce emissions of polluting gases.
Prioritizing these technologies to create innovative solutions is necessary for automakers to remain competitive and meet customer expectations by developing new products and services. This is where the Internet of Things (IoT) becomes important as an essential technology in developing advanced functions and services, thanks to its potential to provide real-time data, keeping track of various factors in all aspects of the automotive industry.
Thus, with its cutting-edge position in connectivity, data analysis, and services from its platforms, AZLOGICA® is capable of providing services to the automotive industry to develop and implement IoT solutions that provide competitive advantages and tangible benefits.
By adopting AZLOGICA®’s platforms and their ability to connect various types of static, mobile, or semi-automated assets with machine learning and artificial intelligence, online reports can be generated, early alerts can be generated, management actions can be undertaken, variables can be controlled, and added values such as remote diagnostics, predictive maintenance, and fleet management can be achieved.
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