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Description
Minimize false positives and leverage machine learning (ML) to effectively identify anomalies in business performance indicators. Investigate the underlying causes of these anomalies by clustering similar outliers together for analysis. Provide a summary of these root causes and prioritize them based on their impact. Ensure a smooth integration with AWS databases, storage services, and external SaaS platforms for comprehensive metrics monitoring and anomaly detection. Set up automated alerts and responses tailored to the detection of anomalies. Utilize Lookout for Metrics, which employs ML to both discover and analyze anomalies in business and operational datasets. The challenge of recognizing unexpected anomalies is compounded by the limitations of traditional manual methods that are prone to errors. Lookout for Metrics simplifies the detection and diagnosis of data inconsistencies without requiring any expertise in artificial intelligence (AI). Monitor irregular fluctuations in subscriptions, conversion rates, and revenue to remain vigilant about sudden market shifts, ultimately enhancing strategic decision-making capabilities. By adopting these advanced techniques, businesses can improve their overall performance management and response strategies.
Description
SentiSum harnesses the power of machine learning to meticulously categorize and tag various customer communication channels with unmatched precision. By utilizing our customizable insights dashboard, you can transform your customer's feedback into actionable and readily available information. SentiSum is engineered with machine-learning-driven natural language processing to ensure a high level of accuracy in understanding and tagging customer interactions. You can rely on the tags generated by SentiSum to support significant strategic transformations within your organization. Gain detailed, actionable insights from customer discussions, enabling you to route and prioritize support tickets based on their sentiment and subject matter. With SentiSum, you can analyze the topics and sentiments of all CSAT and NPS surveys, ensuring comprehensive coverage. Moreover, it can automatically convert negative reviews or social media comments into actionable tickets. SentiSum not only enhances the accuracy and detail of your ticket tags but also translates those tags into easily accessible insights. This capability empowers you to substantiate new initiatives with solid quantitative evidence, increasing the likelihood of making a positive impact on customer experiences. Furthermore, by automating the tagging process, SentiSum streamlines contact reporting for greater efficiency.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AWS Lambda
Yes
Amazon CloudWatch
Yes
Amazon Redshift
Yes
Amazon S3
Yes
Amazon Simple Notification Service (SNS)
Yes
Dixa
No
Freshdesk
No
Google Play
No
Gorgias
No
Intercom
No
Integrations
AWS Lambda
No
Amazon CloudWatch
No
Amazon Redshift
No
Amazon S3
No
Amazon Simple Notification Service (SNS)
No
Dixa
Yes
Freshdesk
Yes
Google Play
Yes
Gorgias
Yes
Intercom
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$3000 per month
Every SentiSum plan gives you AI-powered insights into customer conversations.
As you move up, the platform evolves from understanding what’s happening to powering how your organization responds.
As you move up, the platform evolves from understanding what’s happening to powering how your organization responds.
Free Trial
No
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
No
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)
Yes
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-metrics/
Vendor Details
Company Name
SentiSum
Country
United Kingdom
Website
www.sentisum.com
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Customer Feedback
Alerts / Notifications
No
Behavior Analytics
No
Bug Reports
No
Community Feedback Tools
No
Live Chat
No
Negative Feedback Management
No
Net Promoter Score (NPS)
No
Screenshot / Screen Capture
No
Surveys
No
User Testing Tools
No
Video Feedback
No
Visual Feedback Tools
No
Voice of the Customer (VoC)
No
Website Feedback
No