WirelessCar’s Automotive, The number of connected vehicles on the road is expected to increase from 125 million in 2020 to more than 470 million by 2025. 안전한 카지노사이트
The push for electric vehicles is hastening the emergence of a new era of modern vehicle architectures that are more centralized, with fewer distributed electronic control units
As a result of the introduction of domain controllers. We’re also seeing more centralization into zonal architectures, which means less cabling, weight, and complexity.
This shift from hardware to software will only fuel customer demand for more personalized in-car experiences.
Amazon Web Services (AWS) is assisting automakers in becoming software-driven companies by providing differentiated services, solutions, and support
And AWS Partner WirelessCar is running connected vehicle services on AWS.
WirelessCar, which has been developing connected vehicle solutions for cars, commercial vehicles, and fleet management services since 1999
Will have connected more than eight million vehicles in over 75 countries by July 2021.
Customers such as Volkswagen, Jaguar Land Rover, Daimler, Nissan, and Volvo Cars can now take advantage of the full value of connected services on AWS.
Call center services for emergency/SOS, breakdown, service, and concierge/convenience are becoming increasingly important for brand customer experience
And customer loyalty to original equipment manufacturers among connected vehicle services (OEMs). More information can be found in this article.
WirelessCar created a solution that automates the contact flow, or a customer’s interaction with a contact center, from beginning to end.
The solution makes use of Amazon Connect, a simple omnichannel cloud contact center, and Machine Learning on AWS
A collection of machine learning services and supporting cloud infrastructure that puts machine learning in the hands of every developer, data scientist, and expert practitioner.
WirelessCar has increased customer satisfaction and loyalty, reduced OEM costs, and provided qualitative insights to OEMs by utilizing these services.
This blog will concentrate on emergency and breakdown services.
Proposition de valeur
When it comes to roadside assistance, stolen vehicle recovery, or emergency response, connected vehicles
Allow essential data to be shared directly with the automaker to streamline the customer experience.
Equally important, this customer-to-OEM interaction can be largely automated, resulting in a 24/7 response time.
Using connected car data to provide these essential services provides automakers
With a tremendous opportunity to deliver services that are frequently outsourced to third parties.
Call services for connected vehicles establish a direct link between the driver and the vehicle manufacturer.
These services, such as roadside assistance (RSA) or stolen vehicle assistance, are becoming more difficult to provide as vehicle systems become more complex
But they also present a lot of potential. Vehicle manufacturers must find a solution.
Regulations and Customer Protection
According to European regulation EU 27: 112, new vehicles must have an emergency call service.
Calls are currently routed to a staffed call center, where the operator must determine the severity of the situation by speaking with the driver.
When a hard impact or airbag deployment is detected, a solution that uses vehicle data can automate the call to the emergency response center.
Critical information such as impact speed, number of deployed airbags, vehicle operation status, and even video footage can be instantly transmitted to the operator.
Even if the driver is unresponsive, emergency services can be dispatched based on predetermined criteria.
Enhancement of the Customer Experience
Lifelike conversational services for vehicle breakdown, emergencies, vehicle-related questions and notifications
And concierge services are becoming more popular in order to provide a rich experience in the car.
These services provide customers with convenience and a sense of personal service, as well as increasing customer loyalty. 카지노사이트
Amazon Connect’s natural language processing (NLP) and transcription capabilities will aid in the generation of qualitative insights.
OEMs can use machine learning-powered speech analytics to access live call transcripts, understand customer sentiment, and identify call reasons in near-real time
As well as identify trends such as common parts failures before they escalate to a broader recall.
Contact centers can also set up rules to generate tasks in near-real time to route issues to consumer affairs or other relevant teams.
Amazon Connect, Amazon Machine Learning solutions for NLP, and Alexa Skills Kit SDKs—software development tools
And libraries that provide programmatic access to Alexa features—can automate the contact flow for convenience and concierge services.
For example, an electric vehicle driver can use voice commands to learn the best route that will provide the least amount of charging time while allowing the driver to enjoy their vehicle.
Solution and Architecture
WirelessCar’s call center services solution enables vehicle OEMs to provide call center services for emergency assistance, RSA, stolen vehicle assistance, and driver assistance.
The solution is hosted on AWS and includes portals and APIs to enable seamless integration between vehicles and call centers.
Integration efforts are reduced due to a standardized approach for connecting vehicles with call centers.
This provides businesses with opportunities for greater agility when selecting the right partners to set up call center networks capable of supporting a diverse service portfolio with global coverage.
In this solution, in the event of an emergency or a breakdown
A call is automatically initiated from the car, along with a snapshot of the car and user information
Which is sent to the connected car backend. The customer care agent receives the call as well as the user and car information via the WirelessCar user interface (UI)
Allowing them to provide direct assistance to the user. Instead of contacting a call center agent, a user will first contact a virtual call center or Amazon Connect.
Depending on the scenario, the contact flow may be launched automatically to meet the user’s needs.
The use cases section that follows explains the scenarios.
WirelessCar offers APIs that allow call centers to retrieve important information about the car or user in the system.
Emergency/SOS (eCall), breakdown (bCall), service (hCall), and concierge/convenience (cCall) call options are available in various ways in each car
If these buttons are pressed, or if the airbags or other sensors detect an emergency situation, a snapshot of the car sensor data and events is sent to the WirelessCar backend.
At the same time, the car activates eCall (as shown in Figure 3: Architecture Diagram). Every type of call service from a car has its own phone number.
Amazon Connect detects the type of call based on the number and initiates the call’s automatic contact flow.
The solution will then assign the call an incident case number and place it in a queue to be handled by a call center agent.
Simultaneously, the WirelessCar backend will compare the incident case number to the data snapshot received from the call.
The car snapshot contains information about sensor data, vehicle information, location data, and user data.
In some cases, the car dials the Amazon Connect number. The customer hears the call acknowledged and the purpose of the call confirmed.
The contact flow automates Amazon Connect customer calls, and in an emergency, the call is forwarded to the call agent. In the event of a breakdown
The call will be routed directly to a call center agent or RSA services.
Companies can configure which calls they want to analyze in the Amazon Connect contact flow by selecting the speech analytics check box in the “set recording and analytics behavior”
Block through Contact Lens for Amazon Connect, a feature that helps companies better understand the sentiment and trends of customer conversations.
Customers can also use Contact Lens to conceal sensitive information.
The call recording and analysis are saved in an Amazon S3 bucket
Which is an object storage service that provides industry-leading scalability, data availability, security, and performance.
This solution also performs postcall analysis using Amazon Comprehend—a natural language processing (NLP) service that uses machine learning
To uncover information in unstructured data—to gain additional insights about the customer call. All of these insights can be visualized on Amazon QuickSight
A scalable, serverless, embeddable machine learning-powered business intelligence service, for monitoring, quality control, and trend analysis. 카지노 블로그
Contact flow for service and concierge calls can both work in this configuration.