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What is Revvo?

Managing the tire inventory for your fleet has typically required extensive tracking and manual inspections to ensure that operations run smoothly, safely, and efficiently. With Revvo’s AI-powered automated monitoring, however, real-time management of your fleet is now achievable, significantly improving both tire durability and reliability while allowing technicians to concentrate on other essential responsibilities, thereby enhancing fleet productivity and reducing expenses. Revvo's proactive AI technology can continuously oversee tire conditions, which can lead to a decrease in tire-related problems within your fleet vehicles by as much as 50%. It diligently monitors various factors, from tire pressure to driving behaviors, for every mile driven. By recording and analyzing important incidents throughout a tire's lifecycle, Revvo enables fleet managers to increase the lifespan of both tires and casings by as much as 30%, culminating in a more streamlined and economical operation. As a result, fleet managers find themselves with more time to engage in strategic initiatives rather than being preoccupied with tire upkeep, fostering a more innovative approach to fleet management. This shift not only optimizes resources but also enhances overall operational effectiveness.

What is MAIOT?

Our mission is to enhance the accessibility of production-ready Machine Learning solutions. ZenML, a premier offering in the MAIOT space, acts as an open-source MLOps framework that empowers users to construct reproducible Machine Learning pipelines. These pipelines efficiently oversee the complete journey from data versioning to model deployment in a cohesive manner. The framework is built around adaptable interfaces, which allow users to navigate complex pipeline scenarios while also providing a straightforward “happy path” that supports success in standard use cases without overwhelming users with unnecessary boilerplate code. We are dedicated to enabling Data Scientists to focus on their unique use cases, goals, and workflows associated with Machine Learning, rather than getting bogged down by the intricacies of the underlying technologies. As the Machine Learning landscape continues to advance at a rapid pace, both in terms of software and hardware, our objective is to decouple reproducible workflows from the essential tools, making it easier for users to incorporate new technologies. By doing this, we aim to drive innovation and enhance the development process within the Machine Learning ecosystem, ultimately leading to more efficient and impactful outcomes. This commitment to simplifying user experiences is at the heart of our philosophy.

Media

Media

Integrations Supported

Fleetio
Platform Science

Integrations Supported

Fleetio
Platform Science

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

Revvo

Date Founded

2018

Company Location

United States

Company Website

www.revvo.ai/fleet

Company Facts

Organization Name

MAIOT

Date Founded

2021

Company Location

Germany

Company Website

www.maiot.io

Categories and Features

Fleet Maintenance

Cost Tracking
Fuel Tracking
Maintenance History
Maintenance Scheduling
Parts Inventory Management
Repair Tracking
Tire Management
Vehicle Information
Warranty Tracking
Work Order Management

Categories and Features

Fleet Maintenance

Cost Tracking
Fuel Tracking
Maintenance History
Maintenance Scheduling
Parts Inventory Management
Repair Tracking
Tire Management
Vehicle Information
Warranty Tracking
Work Order Management

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