How CIOs Can Utilize Predictive Analytics For The Connected Car Industry

Auto Tech Outlook | Thursday, August 06, 2020

Predictive analytics is evolving into a strong mechanism for the automotive industry to solve a vibrant array of problems.

FREMONT, CA: Predictive maintenance in the automotive industry enables to evolve of the traditional market ecosystem through different technical data analytics and statistical methodologies into an intelligent manufacturing unit. The predictive maintenance analysis provides “correct data at the right moment.” It also lays the groundwork for various innovative processes to save costs.

Networked cars are the next sizeable digital project in the automotive industry that by introducing independent driverless cars is sure to generate a technological revolution. These self-driving cars require a complicated sensor circuit where the efficient devices connected to them make the machine-to-machine communications a reality.

Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

Data and software have become essential fabrication components and stretch far beyond vital vehicle production. There is information from riders and travelers inside the vehicle, outside the car. Algorithms play the central part in influencing the next millennium of automobiles because of the significance of information collection, artificial intelligence (AI), data analysis, and then learning from it. As linked vehicles are progressively streaming information from telematics devices, infotainment systems, and the vast range of intelligent IoT devices into the cloud, each connected vehicle is capable of producing over 25 gigabytes per hour as more cloud-based facilities are available. The crucial element in wisely using this information deluge lies in car statistical analytics, and in specific predictive analytics.

Effective and Predictive Maintenance

The task for developers is how to gather, store, and process stunning quantities of information as the cars become faster. Automakers should use AI, information management, and electronic workflows to attain these innovative capacities while accelerating experimentation and simulation in the life cycle of product development. Predictive maintenance seeks to detect problems with car maintenance before they happen. By harnessing details from warranty maintenance using present car sensor information, predictive data analytics can find significant correlations that would be hard to discover for a person. An efficiency anomaly that may seem trivial when noted on a single vehicle could be a red flag when collated with dozens or hundreds of other cars having the same issue. Systems for predictive maintenance analytics can draw details from nearly every vehicle of a specified year and design and contrast that information with developments in-warranty repair.

This predictive maintenance performs a crucial part in preventing unplanned downtime, increasing income, and reducing the price of maintenance facilities. It offers a profound understanding of the health history of the automobile from when it had its first full service to the present situation of the car.

Geological Monitoring intelligence

Location intelligence in manufacturing allows automakers to manipulate place data from a portion of a fully produced item and then add intelligence to it. Various sub-assemblies produced by technologically advanced components help in manufacturing vehicles. Recognizing the physical place of these sub-assemblies and elements is essential at any time to educate the production chain and ensure that the correct sub-assemblies and components consistently reach the correct assembly line. Destination management allows employees to monitor event sites based on RFID and sensor technology information in real-time. Location intelligence also aims to ensure transparency and consistency in assessing and predicting issues before they become serious problems.

Predictive avoidance of collisions

 Technology provides drivers no function that is perhaps more valued than schemes for preventing imminent collisions. By using sophisticated detectors, large and rapid information, and car-to-car interconnection, predictive analytics technology can one day make car accidents outdated. By using sensors on the front of the automobile, the system is able to examine the distance and speed of the car traveling ahead of the vehicle, as well as the speed and direction of the next preceding vehicle typically outside the visual field of the rider. The mechanism notifies the driver with a verbal warning and clear message when either of the two following cars acts in a way that could cause the rider to brake unexpectedly. A signal is also sent in the event of contact to lock the safety belts momentarily. As designers generate apps that enhance communication between linked cars, more complicated and more efficient collision avoidance systems will arise depending on driver behavior prediction.

Connected automobile cybersecurity

With specialists predicting that there will be a half-billion linked cars on the highway by 2020, it is simple to see why they are worried. The reality is, connected vehicles are no less vulnerable to cyber assaults than any other internet-connected device, but the implications of a safety violation could be far more disastrous. One can only imagine the independent attraction cars posing for modern-day cybercriminals in particular.

To render their cars safe from cyber attacks, automakers must use technology that remains a step ahead of cybercriminals. Predictive analytics provides the ability to do that. Whether cybercriminals aim linked cars for the pure effort to profit or as a type of activism, their strategy is the same: discover deficiencies in channels and structures within the attached car environment and use them to obtain private data from passengers or to obtain command of automobile facilities. They always bring proof of their existence as cybercriminals "hack" into a scheme. Classical safety policies are relatively efficient in identifying an intruder's evidence when using the same methods as other intruders used to obtain access.

The potential to recognize metrics is what makes predictive analytics efficient in ensuring linked vehicles, where standard safety policies may fail. At some point, the behavior of each attacker will be different from the action of an authorized user. While being a very over-simplified explanation, the significant thing to understand is the ability of probabilistic data analytics to understand standard behavior models and spot divergences from such activities.

In a way, all linked apps in auto analytics constitute data management instances. Whether we are speaking about using predictive information to enhance servicing, advertising, safety, or other associated operations in the connected vehicle industry, the data must be handled in a manner that makes it helpful for the desired intent.

More in News

Mobility is a key element of both economic and personal freedom, making it essential to prioritize reliable roadside support as the number of vehicles on the road increases. An effective roadside assistance network is crucial for helping vehicles that encounter issues like breakdowns, flat tires, and dead batteries. As technology and consumer expectations evolve, these systems need to become more intelligent and interconnected, enhancing their efficiency, safety, and consistency. This shift is transforming roadside assistance into a more responsive, scalable, and transparent service. Increased Dispatch Efficiency and Real-Time Communication One of the significant advances of roadside assistance networks is better dispatch coordination. They mainly comprise call centers, paper records, and manual routing, which increased wait times and reduced service visibility. Using digital platforms, one can track and automate job assignments and streamline communication between dispatch centers, field technicians, and vehicle owners. Integrated systems apply location information to connect requests needing service with the nearest available provider, thereby slashing response times and streamlining resource deployment. Such automation enables service providers to serve larger volumes with uncompromised quality and gives customers a better view of arrival time and service status through mobile applications. This two-way communication added by these systems creates room for live updates, reducing the range of uncertainty for the ultimate experience. The dispatch system can analyze patterns in service requests and traffic conditions to forecast peak demand periods and adjust resource allocation. The operational improvements bring speedier resolutions while promoting optimized workforce utilization and reduced overhead. Data Integration and Predictive Maintenance Support Modern roadside pro-back-up solutions are becoming the core of the larger ecosystems of vehicle support. Linking such applications as telematics and vehicle diagnostics systems is a massive key towards proactive service strategies. For example, sensor-equipped vehicles connected to platforms communicate real-time information to alert of upcoming trouble before a severe failure occurs. Predictive awareness will avoid road incidents, allowing one to remind users of battery replacement, tire rotation, or any other preemptive action. From a customer perspective, technicians come to the scene informed or "armed" with all the appropriate tools or replacement parts necessary to fix the issue during their first visit, empowered by the presence of such health data concerning the vehicle. It also reduces diagnostic time at the scene since it enables better fault determination. In some cases, remote assistance may be feasible through technical support or system resets, allowing the user to avoid waiting for an actual intervention. Such features not only improve customer satisfaction but also reduce operational costs. Scalability and Customization along Multiple User Lines Roadside assistance network solutions are versatile and can work across an extensive range of users, including individual drivers, fleet operators, insurance providers, and vehicle manufacturers. Each group has specific needs and operational goals; therefore, these modern platforms support customization based on various service levels, billing models, and performance metrics. For example, roadside assistance is not merely a support service to fleet operators but an integral part of uptime management. Roadside data should then be integrated with fleet management software for continuous monitoring and speedier interventions to keep vehicles rolling and minimize downtimes. On the other hand, insurance providers would benefit from roadside assistance data to understand risk profiles better and innovate additional services for improved customer loyalty, such as tiered support packages or integration of roadside events with claims processing. Thus, the driver receives help without turning in a separate service request. It therefore creates an integrated ownership experience for the driver, having roadside support within warranty or connected car services. Scalability is also important to provide growth and meet seasonal fluctuating demand. Roadside assistance platforms, supported by cloud-based infrastructure and modular service options, can enlarge or shrink according to what is used at a given moment, while ensuring uniform performance without incurring excess cost. Because third-party service providers can be integrated into a network through standardized APIs, seamless growth of networks occurs while ensuring that controls over operations remain unified. This means that network operators can expand service geographically while controlling service quality across regions through a consistent oversight by centralized performance monitoring. These developments represent the more general trend towards smart mobility and the overall digitization of transport systems. Viewed as a reactive service, roadside assistance is now becoming proactive and is enabled using data to allow it to travel more safely and reliably. Improving coordination, emerging predictive technologies, and building strategy-scalable solutions tied directly to the numerous user needs will ensure that roadside assistance readies itself for the future of connected transportation. ...Read more
Technology is a fundamental component at every stage of the customer journey, contributing to operational efficiency and wealth maximization. For automotive dealerships, the pertinent question is not whether to adopt digital tools, but rather how to evaluate and implement technology solutions that align with specific business objectives. Innovations influence all phases of the sales and service processes, encompassing lead generation, online financing, inventory management, and after-sales support. The selection of an appropriate platform can significantly impact future growth and foster customer loyalty. Defining Dealership Goals and Expectations from the Customer The first step is defining the approach to evaluating technology from the dealership's point of view, internal goals, and external customer expectations. Today, dealerships are selling much more than a car; they must be able to define by convenience, transparency, and speed the buyer's world, which is increasingly knowledgeable and digitally experienced, often going to the showroom with a great deal of research done on the Internet. Any technology solution contemplated should accommodate that connection between the online and offline touchpoints. Whether digital retailing platforms, real-time communication tools, or automated customer follow-ups, the right solution must meet the full spectrum of customer interaction while aligning with the dealership's brand experience and sales objectives. System Integration and Data Connectivity Generally, the most frequent pitfalls seen during the implementation of dealership technology are disparate, non-communicating systems. Duplicate tasks usually occur, and this accounts for a siloed data environment and inconsistent reporting. With well-evaluated solutions, the existing dealership operations, such as customer relationship management, inventory management, finance and insurance, and service scheduling, will be integrated. That way, customer data flow becomes a consistent element throughout the system and provides personalized customer service, resulting in better decision-making about customer-related concerns. In addition, from centralized data access, faster responses address customer inquiries, inventory management, and overhead reduction; ultimately, that will lead to a more agile and responsive dealership environment. Measure Long-Term Value and Scalability While the long-term value of scalability must be considered equally as a cost determinant and functionality justifying worth investment now, upfront costs and immediate functionality determine purchase decisions. The solution should have the capacity to be changed over time in accordance with new trends emerging in the market, customers' use innovations for transacting, and future scale growth of the dealership. Scalability becomes especially important when developing digital distribution channels for the dealership or entering new markets. Also critical are the support and training the technology provider provides for a smooth solution onboarding and continuous optimization over time. Those solutions that are flexible, subject to regular updates, and provide responsive support are likely to yield much larger benefits and keep the costs of transition very low when costly transitions become unavoidable in the future. ...Read more
The automotive industry is evolving, and technological advancements are transforming how dealerships operate. While these innovations provide significant opportunities for growth and efficiency, they also introduce unique challenges. Dealerships must understand and navigate these challenges to thrive in an increasingly digital landscape. Adapting to Rapid Technological Changes One of the most significant challenges facing automotive dealerships today is the rapid pace of technological change. New software, platforms, and tools are consistently emerging, making it difficult for dealerships to keep up. The integration of advanced technologies, such as customer relationship management (CRM) systems, inventory management solutions, and digital marketing tools, requires dealerships to adapt their business processes continually. To effectively navigate this challenge, dealership leadership must prioritize ongoing training and development for their staff. By investing in training programs that focus on new technologies, dealerships can ensure their employees remain proficient and confident in using modern systems. Additionally, staying informed about industry trends and participating in relevant workshops or conferences can help dealership employees understand best practices and innovative solutions that are on the market. Balancing Technology and Customer Experience While technology can enhance operational efficiency, dealerships must maintain a strong focus on the customer experience. The implementation of sophisticated systems, such as online purchasing options and virtual showrooms, can sometimes lead to a disconnect between customers and sales personnel. A common challenge is striking the right balance between automation and the personal touch that customers expect when making significant purchases, such as vehicles. To address this challenge, dealerships should strive to create seamless digital experiences while preserving meaningful interactions with customers. This involves encouraging staff to utilize technology to enhance their engagement with customers rather than replace it. For instance, sales representatives can leverage CRM tools to gather insights about a customer's preferences and tailor their approach accordingly. By blending automation with human interaction, dealerships can offer a more personalized service that fosters trust and cultivates long-term relationships. Overcoming Integration Issues As automotive dealerships adopt new technologies, integrating these systems with existing infrastructure can pose a significant hurdle. Different platforms may not always communicate effectively with one another, leading to data silos and inefficiencies. For example, a dealership might have separate solutions for inventory management, accounting, and customer outreach, making it challenging to have a unified view of operations. To minimize integration issues, dealerships should carefully evaluate the technology solutions they invest in. Opting for platforms that offer easy integration capabilities or are specifically designed for the automotive sector can alleviate many of the common pitfalls associated with technology adoption. Furthermore, involving IT professionals during the selection and implementation process can help identify potential compatibility issues beforehand. Providing a clear roadmap for implementation and encouraging collaboration among teams can also facilitate a smoother transition when integrating new technologies. ...Read more
The automotive industry is experiencing a technology-driven transformation, prompting dealerships to adapt to a rapidly changing environment. Traditional sales models face challenges due to shifting consumer expectations, the emergence of electric vehicles, and connected technology advancements. Dealers must embrace a new era focused on digital engagement, tech-savvy customers, and evolving service requirements. Progressive dealerships are adopting innovative solutions to optimize operations, improve customer experiences, and keep pace with the changing landscape of automotive technology. Tackling Digital Disruption and Customer Expectations Buyers now conduct extensive online research before visiting a dealership, expecting transparency, speed, and convenience. The traditional in-person sales approach no longer appeals to customers who want seamless digital interactions, real-time pricing, and online financing options. From virtual showrooms and live video consultations to AI-powered chatbots and self-service portals, the tools enable customers to explore inventory, schedule test drives, and complete purchases from the comfort of their homes. The growing complexity of auto tech with electric vehicles (EVs), autonomous features, and connected car systems requires dealership staff to become more knowledgeable and tech-savvy. Customers expect expert advice and clear explanations when dealing with advanced in-car technologies. Many dealerships are investing in ongoing training and certification programs for their sales and service teams to meet this demand. They can tailor marketing campaigns, recommend relevant services, and foster long-term customer relationships by tracking browsing behavior, service history, and purchase patterns. Embracing Innovation in Service and Sustainability EVs, for example, require less routine maintenance but demand specialized knowledge in battery systems and software diagnostics. As a result, dealerships must update their service bays, invest in new diagnostic tools, and train technicians on high-voltage safety and electric drivetrains. Some are partnering with manufacturers or third-party providers to gain access to the latest training, tools, and technical support. Traditional dealership processes such as inventory management, repair scheduling, and paperwork can be time-consuming and error-prone. Companies like Gold Standard Automotive Network are helping dealerships adapt by integrating innovative repair and maintenance solutions tailored for electric vehicle technologies. Modern dealerships are solving these issues by implementing cloud-based dealer management systems (DMS) that centralize operations and automate repetitive tasks. With integrated software solutions, they can track inventory in real-time, manage customer appointments more efficiently, and reduce administrative overhead. Many dealerships align their operations with environmental goals by installing EV charging stations, transitioning to paperless workflows, and using energy-efficient lighting and building systems. The efforts reduce ecological impact and appeal to eco-conscious consumers who prioritize sustainability in their buying decisions. Nichirin specializes in high-performance automotive components, offering sustainable solutions for electric vehicle powertrains and ensuring optimal efficiency. ...Read more