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What is IBM IoT Connected Vehicle Insights?

IBM's IoT Connected Vehicle Insights represents a cutting-edge software solution designed for connected vehicles, seamlessly integrating real-time data regarding drivers, vehicles, and their environments to improve the in-car experience. This cloud-based service collects information from various vehicle sensors and utilizes advanced analytics alongside artificial intelligence to uncover valuable insights into driver behavior. By connecting with external cloud resources, such as real-time weather and traffic conditions, it enhances the contextual understanding and situational awareness necessary for optimal vehicle operation. The platform facilitates immediate interactions between drivers, their vehicles, and the surrounding environment, ultimately refining the overall driving experience. With access to this extensive pool of data, connected vehicles can more effectively detect potential safety risks or quality issues and respond without delay. For example, the collision avoidance systems can leverage live updates on weather and traffic to function with greater precision. Furthermore, this specialized SaaS platform provides advanced navigation features, allowing it to anticipate destinations based on the unique driving patterns of each user, thus ensuring a tailored and fluid journey. Consequently, drivers can look forward to not only a safer but also a significantly more enjoyable travel experience, as every aspect of their journey is optimized.

What is Hyperlocal Cloud?

Hyperlocal Cloud delivers a comprehensive solution designed to boost the efficiency of corporate transportation by automating various processes and connecting all stakeholders through innovative digital tools. The platform includes intuitive mobile applications for both employees and drivers, along with a centralized web dashboard specifically designed for transportation managers. Employees benefit from a range of features, such as the ability to view approved routes, stops, and schedules; submit requests for on-demand bookings; access detailed trip information including driver profiles and vehicle details; track vehicles in real-time with accurate arrival estimates; check in for trips using QR codes; utilize emergency panic buttons; and provide feedback on their travel experiences. Drivers, on their part, have access to functionalities that allow them to see their assigned trips, obtain employee pick-up and drop-off details, receive immediate updates on any trip modifications, benefit from navigation assistance, evaluate performance metrics, handle emergency alerts, and communicate with relevant parties effortlessly. In essence, Hyperlocal Cloud is dedicated to ensuring a smooth and integrated experience for everyone involved in corporate transportation, making it a vital tool for modern businesses. This approach not only enhances operational efficiency but also significantly improves user satisfaction across all levels.

Media

Media

Integrations Supported

IBM Cloud

Integrations Supported

IBM Cloud

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/iot-for-automotive

Company Facts

Organization Name

Hyperlocal Cloud

Date Founded

2021

Company Location

United Kingdom

Company Website

hyperlocalcloud.com/employee-transport-management-system

Categories and Features

Categories and Features

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