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
PMQuest streamlines and automates maintenance scheduling to ensure that no preventive maintenance tasks are overlooked, while also facilitating the swift and efficient completion of any unplanned maintenance, ultimately enhancing equipment uptime and reducing the likelihood of failures. The platform offers a seamless approach to managing both Preventive and Unplanned maintenance processes. Additionally, it grants secure access through the Collaboration Portal for external PM service providers, allowing them to collaborate with you on all maintenance tasks effectively. Users can define master data for the equipment involved in the PM Program and automatically generate and assign recurring work orders. The system also allows for the tracking of actual maintenance time and costs compared to the estimates provided. With robust search and reporting features, users can easily access equipment and PM data, as well as historical equipment reports. IntellaQuest's Power BI Integration enables the creation of customized reports tailored to your specific needs. Furthermore, the platform includes Check In / Check Out functionalities for accurate equipment tracking and asset monitoring, ensuring that all resources are accounted for at all times. This comprehensive approach not only improves workflow efficiency but also enhances overall operational effectiveness.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon S3
No
Micromerce
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/lookout-for-equipment/
Vendor Details
Company Name
IntellaQuest
Country
United States
Website
intellaquest.com/pmquest/
Product Features
Preventive Maintenance
Condition Monitoring
No
Inspection Management
No
Maintenance Scheduling
No
Mobile Access
No
Predictive Maintenance
No
Purchasing
No
Reminders
No
To-Do List
No
Vendor Management
No
Work Order Management
No
Product Features
Equipment Maintenance
Customer Database
No
Dispatch Management
No
Equipment Tracking
Yes
Inventory Control
No
Job Management
No
Maintenance Scheduling
Yes
Warranty Tracking
No
Work Order Management
Yes