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What is Journeyware?

The forthcoming connected car experience revolves around thin client applications and cloud-based frameworks that facilitate consumer commerce, in-car multimedia experiences, mobile applications, and enterprise services. With the Xevo Journeyware platform, a range of multimedia applications and AI-enhanced contextual recommendations can be utilized for efficient content delivery. This versatile platform is compatible across cloud infrastructures, vehicles, and mobile devices, and it opens new avenues for revenue generation for automotive manufacturers. The Journeyware platform’s components are integrated into over 25 million vehicles globally, showcasing its widespread adoption. Utilizing Journeyware's advanced automotive AI technology, the Xevo Context recommendation engine creates a dynamic and hyper-contextual experience for users. This system delivers highly relevant suggestions and offers tailored to drivers’ preferences, their historical behaviors, vehicle locations, current routes, and additional factors, ensuring a personalized driving experience. Ultimately, the integration of these technologies will significantly enhance how consumers interact with their vehicles and the services they provide.

What is OpenText Connected Vehicle Platform?

Technological progress has brought about remarkable changes in the automotive industry. Consumer preferences are increasingly shifting towards electrification, enhanced global connectivity, diverse mobility options, and autonomous driving features. As cars evolve into integrated platforms that improve customer experiences, the digital dimension of driving will be pivotal in influencing consumer loyalty and brand selection. Effectively managing the user experience inside vehicles is crucial for achieving success in this competitive landscape. Today's consumers expect a connected driving experience that reflects the smooth interactions they enjoy at home, work, and via their mobile devices. If vehicles do not provide the connectivity needed to support contemporary mobile lifestyles, they risk being disregarded by prospective buyers. The OpenTextâ„¢ Connected Vehicle Platform emerges as a cloud-based solution that utilizes an identity-focused approach to enhance the ownership experience for drivers. Moreover, it guarantees the security of IoT data throughout the connected supply chain, making it an invaluable asset for both manufacturers and consumers. By utilizing such platforms, manufacturers can better align their offerings with the evolving demands of today's tech-savvy drivers.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Xevo by Lear

Date Founded

1917

Company Location

United States

Company Website

www.xevo.com/journeyware/

Company Facts

Organization Name

OpenText

Date Founded

1991

Company Location

Canada

Company Website

businessnetwork.opentext.com/connected-vehicle-platform

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Categories and Features

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