Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Cherrywork® Predictive Asset Maintenance Application is designed to lower, streamline, and enhance the costs associated with asset lifecycles at every stage, from initial investment planning and network configuration to procurement, installation, operational management, and eventual disposal or replacement. This innovative tool plays a crucial role in identifying unforeseen equipment failures that could jeopardize customer satisfaction and overall reliability. Clients have an expectation for advance notice regarding planned outages, allowing them to manage their consumption effectively. By leveraging this application, users can proactively maintain their assets, thereby avoiding potential penalties. It harnesses historical data from a variety of sources to create precise and verifiable predictive models, enabling the generation of forecasts and risk assessments. Additionally, the application combines data from online monitoring systems, weather forecasts, and various non-operational information such as operational guidelines, equipment specifications, and industry standards, providing a comprehensive approach to asset maintenance. Ultimately, this integration of diverse data sources enhances decision-making and operational efficiency.
Description
Senseye PdM employs advanced proprietary machine learning techniques to anticipate potential asset failures before they occur. By automatically evaluating the performance of your machinery, Senseye can accurately forecast when maintenance should be performed. This allows maintenance teams to prioritize their efforts on the assets that require the most urgent care. With an easy-to-implement solution, organizations can reduce maintenance expenses while enhancing the accuracy of downtime predictions. Designed for scalability, Senseye PdM can accommodate any number of connected machines, whether large or small. The automated condition monitoring provides insights that emphasize only the most pertinent information. Users gain an understanding of how long their machinery is expected to operate before maintenance is necessary. The platform allows for the seamless analysis of tens of thousands of assets, providing a clear and ongoing indication of which machines need attention. Furthermore, Senseye ensures that industrial companies experience significant reductions in machine downtime, ultimately leading to enhanced operational efficiency and productivity.
API Access
Has API
API Access
Has API
Integrations
SAP Analytics Cloud
SAP Extension Suite
SAP Integration Suite
SAP Store
Integrations
SAP Analytics Cloud
SAP Extension Suite
SAP Integration Suite
SAP Store
Pricing Details
$30,000 one-time payment
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Incture Technologies
Founded
2006
Country
India
Website
store.sap.com/dcp/en/product/display-0000053552_live_v1/Cherrywork%C2%AE%20Predictive%20Asset%20Maintenance
Vendor Details
Company Name
Senseye
Founded
2014
Country
United Kingdom
Website
senseye.io
Product Features
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
OEE
Benchmarking
Cost Tracking
Downtime Tracking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Root Cause Analysis
Trend Analysis
Work Order Management
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management