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Description
Experience effortless sourcing with no need for logins or apps, as our one-click events seamlessly land in your suppliers' inboxes, enriched with real-time predictive insights. Our adaptable data framework caters to all categories of expenditure, allowing you to source anything you could manage in Excel with ease using Arkestro. With predictive anomaly detection, potential mistakes are identified and corrected before they impact procurement processes. The role-based access feature streamlines project management for sourcing events, ensuring all stakeholders receive timely updates. Arkestro enhances sourcing cycles by learning from supplier behavior, which helps to reduce the time required for these processes. A straightforward email-based workflow offers a range of award scenarios tailored to your sourcing events, regardless of their size or complexity. Supplier quotes often contain errors stemming from manual data entry and copy-pasting, which can complicate the sourcing process. Monitoring the progress of sourcing activities typically involves numerous pivot tables, making the task cumbersome. Additionally, new sourcing cycles often fail to incorporate insights from supplier quotes submitted in prior cycles. To aid in this, our pricing simulator provides immediate recommendations for suppliers to adjust and resubmit their proposals, making the process even more efficient. Ultimately, Arkestro transforms the sourcing landscape by minimizing errors and maximizing efficiency through intelligent data utilization.
Description
VictoriaMetrics Anomaly Detection, a service which continuously scans data stored in VictoriaMetrics to detect unexpected changes in real-time, is a service for detecting anomalies in data patterns. It does this by using user-configurable models of machine learning. VictoriaMetrics Anomaly Detection is a key tool in the dynamic and complex world system monitoring. It is part of our Enterprise offering. It empowers SREs, DevOps and other teams by automating the complex task of identifying anomalous behavior in time series data. It goes beyond threshold-based alerting by utilizing machine learning to detect anomalies, minimize false positives and reduce alert fatigue. The use of unified anomaly scores and simplified alerting mechanisms allows teams to identify and address potential issues quicker, ensuring system reliability.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Ariba Network
Coupa
GEP SMART
JAGGAER One
Microsoft Excel
VictoriaMetrics Enterprise
Zycus Procure-to-Pay
Integrations
Ariba Network
Coupa
GEP SMART
JAGGAER One
Microsoft Excel
VictoriaMetrics Enterprise
Zycus Procure-to-Pay
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
Arkestro
Founded
2016
Country
United States
Website
arkestro.com
Vendor Details
Company Name
VictoriaMetrics
Founded
2018
Country
United States
Website
victoriametrics.com/products/enterprise/anomaly-detection/
Product Features
Procurement
Asset Management
Auction Management
Bid Management
Budget Management
Catalog Management
Contract Management
Inventory Management
Invoice Processing
PunchOut
Purchase Order Management
Receiving
Requisitions & Approvals
Sourcing Management
Spend Management
Supplier Management
Sourcing
Auction Management
Budget Management
Collaboration
Global Sourcing Management
Rfx Management
Spend Management
Supplier Management
Supplier Qualification
Supplier Risk Management
Supplier Web Portal
Template Management
Product Features
IT Infrastructure Monitoring
Alerts / Notifications
Application Monitoring
Bandwidth Monitoring
Capacity Planning
Configuration Change Management
Data Movement Monitoring
Health Monitoring
Multi-Platform Support
Performance Monitoring
Point-in-Time Visibility
Reporting / Analytics
Virtual Machine Monitoring