Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Utilize data gathered from current sensors to develop machine learning models tailored to your machinery. Ensure swift and accurate automatic monitoring of equipment that identifies problematic sensors. Speed up the resolution of issues with instant alerts and automatic responses when anomalies are identified. Enhance the effectiveness and precision of alerts by integrating trends in anomalies and user feedback. Amazon Lookout for Equipment serves as a machine learning monitoring solution for industrial machinery, identifying unusual operational behavior so you can respond proactively and prevent unexpected downtime. By automatically recognizing atypical equipment behavior, you can effectively avert unplanned interruptions. Lookout for Equipment systematically evaluates sensor data from your industrial systems to uncover abnormal machine activity. This capability enables you to swiftly identify equipment irregularities, diagnose concerns promptly, and take action to prevent unexpected downtime—all without needing prior machine learning expertise. Furthermore, consistent monitoring ensures that your models remain relevant and effective over time.
Description
Equip your engineers with the essential digital tools required to forecast and avert asset downtime effectively. By enhancing machine availability and ensuring asset reliability, you can facilitate proactive maintenance along with PaaS solutions. This strategic approach will also help to lower break-fix and repair costs while optimizing how resources are allocated. Furthermore, it will elevate the quality of service and enhance the customer experience. The availability of machines is crucial for your customers' achievements, and relying solely on traditional break-fix service models is no longer adequate, as downtime can lead to substantial financial losses. To adapt to these evolving service demands and transition towards a proactive service approach, it is vital to invest in cutting-edge technology that not only gathers IoT sensor data but also analyzes this information to identify irregularities and predict potential failures. Embracing such a solution will not only foster high equipment availability but also ensure exceptional service delivery through intelligent repair methods. Ultimately, this proactive stance will position your organization as a leader in reliability and responsiveness in the marketplace.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Pricing Details
No price information available.
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/lookout-for-equipment/
Vendor Details
Company Name
Syncron
Country
United States
Website
www.syncron.com/solutions/uptime/
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
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management