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What is Cherrywork Predictive Asset Maintenance?

The Cherrywork® Predictive Asset Maintenance Application is crafted to reduce, optimize, and improve costs related to asset lifecycles at every phase, spanning from initial investment planning and network setup through procurement, installation, management during operations, and eventual disposal or replacement. This cutting-edge solution is vital for pinpointing unexpected equipment failures that could threaten consumer satisfaction and the overall dependability of services. Clients expect timely notifications about planned outages, which empowers them to manage their energy consumption effectively. By utilizing this application, users can engage in proactive asset maintenance, thereby sidestepping potential penalties that might arise from unanticipated failures. It utilizes historical data from multiple sources to construct accurate and credible predictive models, which facilitate the creation of forecasts and risk assessments. Moreover, the application integrates information from online monitoring systems, weather predictions, and various non-operational factors such as operational protocols, equipment specifications, and industry benchmarks, thus providing a holistic strategy for asset upkeep. This multifaceted integration of data sources not only bolsters decision-making but also significantly enhances operational effectiveness and efficiency. As a result, organizations can achieve greater sustainability and improved performance in their asset management endeavors.

What is Amazon Lookout for Equipment?

Utilize existing sensor information to create specialized machine learning (ML) models that cater to your machinery's needs. Establish automatic monitoring systems capable of promptly and precisely detecting sensor irregularities. This approach accelerates the resolution of issues by providing immediate notifications and triggering automated actions when anomalies are discovered. By incorporating feedback and analyzing trends in anomalies, the effectiveness and precision of your alerts can be further improved. Amazon Lookout for Equipment serves as a machine learning solution for monitoring industrial machinery, detecting atypical behavior, and facilitating proactive strategies to avert unexpected downtimes. This service enables the quick identification of abnormal activity in your equipment, allowing for swift diagnosis and corrective measures to reduce unforeseen interruptions, all without requiring any prior knowledge of machine learning. Furthermore, this efficient method not only conserves valuable time but also significantly boosts overall effectiveness in industrial settings, contributing to a more resilient operational framework.

Media

Media

Integrations Supported

Amazon S3
SAP Analytics Cloud
SAP Extension Suite
SAP Integration Suite
SAP Store

Integrations Supported

Amazon S3
SAP Analytics Cloud
SAP Extension Suite
SAP Integration Suite
SAP Store

API Availability

Has API

API Availability

Has API

Pricing Information

$30,000 one-time payment
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

Incture Technologies

Date Founded

2006

Company Location

India

Company Website

store.sap.com/dcp/en/product/display-0000053552_live_v1/Cherrywork%C2%AE%20Predictive%20Asset%20Maintenance

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/lookout-for-equipment/

Categories and Features

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

Categories and Features

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

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