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Average Ratings 0 Ratings
Description
Identify patterns in operational data that can forecast deterioration and potential failures long before they occur. By employing accurate failure pattern recognition, you can reduce the frequent occurrence of false positives typically associated with traditional model-based approaches. Utilizing low-touch machine learning, you can swiftly distinguish between normal and abnormal behaviors, ensuring equipment protection starts within weeks rather than extending into months. The integration of Aspen Mtell with Aspen Cloud Connect™ provides connectivity to devices that support OPC UA. This method of recognizing operational patterns not only serves as an initial defense against asset decline but also enhances existing maintenance strategies through the deployment of AI-driven agents across various sites or throughout the entire organization. By focusing on precise failure pattern recognition, the challenge of high false positive rates in model-based solutions is effectively mitigated. Moreover, the rapid identification of operational behaviors facilitates timely equipment protection, ensuring that organizations can respond proactively to potential issues as they arise.
Description
Our AI and IoT (AIoT) solutions empower clients to make informed business decisions by leveraging real-time data on the usage of their onsite equipment, which in turn enhances their capacity to improve customer service, logistics, and sales opportunities. By monitoring onsite temperature and performance in real-time, businesses can anticipate potential failures in refrigerators, vaccines, tests, and medications, thereby improving reliability. This technology allows for continuous performance tracking of machinery, enabling the delivery of value-added services while gaining insights into product usage. By adopting a proactive approach, companies can enhance customer satisfaction and provide valuable insights that promote optimal operational efficiency. Furthermore, it helps optimize compliance for in-store appliances and machinery while minimizing both inventory and maintenance expenses. In the food and beverage industry, chain stores manage thousands of locations, each equipped with multiple appliances, yet often lack the capability to effectively monitor and track the usage of these devices, which can lead to inefficiencies. Ultimately, implementing AIoT technology can transform the way businesses operate, fostering a culture of continuous improvement and greater accountability in appliance management.
API Access
Has API
API Access
Has API
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
Aspen Technology
Founded
1981
Country
United States
Website
www.aspentech.com/en/products/apm/aspen-mtell
Vendor Details
Company Name
YOUTILIGENT
Founded
2018
Country
Israel
Website
www.youtiligent.com
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 Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking