Identify how a connect car consolidates, drills down, and slices and dices data to help drivers make better decisions.
Connected cars consolidate information that helps drivers make better decisions by using the Internet of Things (IoT) connected sensors to gather real-time traffic and crash data, weather conditions, school zones, work zones, and weather conditions to help drivers make better decisions (Zhao et al., 2018) . IoT-connected sensors can also help identify signs of fatigue, detect lane departure by an inattentive driver, and monitor blind spots. Through analytics and artificial intelligence, connected cars through their infotainment systems and connected mobile applications will alert drivers on any imminent danger before it happens (Baltzan, 2020) . Today's connected cars can share destinations and relative speeds with their manufacturers, making it possible to intelligently determine the best routes with safe breaking patterns and breaking distances that helps motorists avoid traffic and save time (McGrath, 2019) . Also, connected cars can run diagnostics on themselves before and after they break down, notifying drivers of the exact problem and how it can be fixed.
Delegate your assignment to our experts and they will do the rest.
Explain how connected cars are using cloud computing.
Cloud technology allows connected cars to exchange information in real-time with other cars and original equipment manufacturers about the information on themselves and their surroundings that must be aggregated, analyzed, shared in real-time to maintain consistent road dynamics. Thus, cloud computing ensures that vehicle data is continuously and seamlessly recorded to help prevent accidents, update software, inform the driver about weather conditions and the road, update traffic information and maps (Baltzan, 2020) . Also, the cloud can be used to automatically schedule maintenance checks and notify the driver when the vehicle is due for service. The data collected and stored in the cloud can be sued to formulate patterns and reports about the car that can be used for improvements (Zhao et al., 2018) . For example, if a vehicle is frequently involved in road accidents, the manufacturer can use the reports to get to the root cause of the problem (McGrath, 2019) . Cloud computing helps vehicles drive themselves, identify obstacles on the road, and route passengers quicker to their destinations.
Argue for or against the following statement: Technology companies will invade driver privacy by collecting data from connected cars without the consent of the drivers.
Car manufacturers must collect consent from vehicle users regarding the personal data that is to be collected. Technology companies collect vast amounts of data from connected vehicles such as driving habits and driver performance that are remotely sent to third-parties (McGrath, 2019) . Although the driver has a right to privacy, technology companies may sell this data to third-parties without the driver's consent (Baltzan, 2020) . According to car manufacturers, initial consent justifies further processing personal information without basing the processing on legal grounds or obtaining new consent from the driver. As a result, the data obtained on drivers is transmitted to third-parties without their knowledge. Additionally, connected car manufacturers do not specify whose personal data is to be collected and processed in the case of the regular driver of the vehicle, the owner of the vehicle, the renter of the vehicle, or the passengers (Zhao et al., 2018) . Thus, irrespective of the terms, car manufacturers obtain personal information from their users without their consent.
Why is CRM important to the technology companies, automobile manufacturers, and telecommunication companies all competing for the connected car market? How can they use CRM to improve sales?
CRM is vital to technology companies, telecommunication companies, and automobile manufacturers in the connected car market because:
It creates meaningful relationships with consumers through constant communication increasing customer loyalty (Zhao et al., 2018) .
It provides a holistic view of consumers across different channels when their interests are analyzed, results in a personalized car-buying experience (McGrath, 2019) .
It provides inventory management for companies in the automotive industry. It helps foster customer loyalty through inventory management practices such as the delivery of optimized workflows for test drives, repairs, servicing, car sales, and insurance claims (McGrath, 2019) .
It boosts automobile sales through increased lead generations and automated and customized solutions that provide premium services for car enthusiasts. This is achieved through the customer vehicle buying journey with car dealers from the purchase, delivery, and post-sales interactions (Zhao et al., 2018) .
Explain how connected cars can use robotics to improve the supply chain.
Autonomous technology in the supply chain applies to moving objects without human intervention. The connected car sector can use robotics to drive value in their supply chains for executing routine and repetitive tasks (Baltzan, 2020) . This will increase efficiency, improve productivity and quality levels by performing tasks that humans take time to complete or should not do (Zhao et al., 2018) . The adoption of robotics will drive supply chain value and innovation by minimizing direct and indirect operating costs and improve the bottom line by:
Improving the safety of employees (McGrath, 2019) .
Reducing risk rates and errors (McGrath, 2019) .
Minimizing contact with hazardous work environments for employees.
Improve order fulfillment rates and delivery speeds, resulting in customer satisfaction (McGrath, 2019) .
Also, robotics will improve the supply chain of connected cars by helping car manufacturers decrease long-term costs, improve picking, sorting, and storing times, reduce the frequency of inventory checks, and provide labor and utilization stability (McGrath, 2019) .
Identify how connected cars can impact the supply chain.
Autonomous cars will impact the supply chain by solving the driver shortage problem in the trucking industry as there is a shortage of truck drivers (Zhao et al., 2018) .
Autonomous vehicles will reduce costs by eliminating the need for drivers to be present in long-distance travel. Although drivers need to be present, the vehicles will be self-guided, requiring fewer skills to navigate.
Autonomous vehicles will automate the supply chain through loading and unloading. This will lead to increased efficiency and reduced costs with costs and labor associated with human capital (Baltzan, 2020) .
Autonomous vehicles will lead to the deployment of platoon-based truck fleets. Platoon trucks will be guided by a lead truck and driving in processing, thus arriving at a destination simultaneously. This will reduce delays in delivering large shipments and reduce the need to have multiple people controlling individual vehicles (Zhao et al., 2018) .
References
Baltzan, P. (2020). Business driven technology (8th ed.). McGraw-Hill Education.
McGrath, M. (2019). Autonomous vehicles: Opportunities, Strategies and Disruptions .
Zhao, J., Liang, B., & Chen, Q. (2018). The key technology toward the self-driving car. International Journal of Intelligent Unmanned Systems , 6 (1), 2-20. https://doi.org/10.1108/ijius-08-2017-0008
