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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Enhance customer interactions with human agents through Agent Assist, a feature of Google Cloud’s Contact Center AI. It offers pre-prepared responses for customers to ensure timely communication. By leveraging a centralized knowledge base, it provides comprehensive answers to customer inquiries. This capability allows agents to manage 28% more conversations, leading to a reduction in operational expenses, shorter average hold times for customers, and an improved capacity to manage peak traffic effectively. Customer satisfaction can see a boost of 10% thanks to the delivery of consistent, high-quality responses, and the training process becomes faster as agents learn from top performers. The implementation of Smart Reply can decrease abandoned chats by enabling response times that are 15% quicker, utilizing rapid answers sourced from the central knowledge base. Furthermore, Agent Assist suggests effective phrases used by successful agents, enhancing the quality and uniformity of the customer experience. This system also recommends relevant knowledge base content to assist agents in addressing customer issues more effectively, thereby minimizing wait times and ensuring customers receive precise information. Overall, the combination of these features streamlines the customer support process, making it more efficient and effective.

Description

Addressing business challenges through sophisticated AI and machine learning technologies for both public and private sectors is essential. This technology streamlines the responses to a significant number of inquiries, exceeding 100, through a chatbot specifically engineered to enhance first contact resolution (FCR). It operates around the clock, identifying potential sales opportunities and managing them autonomously. By promptly addressing questions within its knowledge base, it aligns with customer expectations and efficiently directs other inquiries. Additionally, it automates a considerable portion of calls by resolving simpler queries and ensures customers are connected to the appropriate agents. This process effectively minimizes the abandonment rate to nearly zero. By continuously identifying sales prospects, it empowers customer service representatives while decreasing average handling times. Telecom companies are leveraging machine learning to boost customer satisfaction and enhance the reliability of their networks. Specifically, they can gain advantages from techniques such as predictive modeling, process analysis, fraud detection, churn prediction, and adaptive resource allocation, ultimately leading to a more efficient operational framework. Furthermore, these innovations not only streamline processes but also pave the way for a more responsive and dynamic customer service experience.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Avaya Experience Platform Yes 
Cisco Unified Contact Center Yes 
Elastic Observability Yes 
Five9 Yes 
Genesys Cloud CX Yes 
Google Cloud Platform Yes 
Google Contacts Yes 
LivePerson Yes 
[24]7.ai Yes 

Integrations

Avaya Experience Platform No 
Cisco Unified Contact Center No 
Elastic Observability No 
Five9 No 
Genesys Cloud CX No 
Google Cloud Platform No 
Google Contacts No 
LivePerson No 
[24]7.ai No 

Pricing Details

$0.06 per session
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
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 Yes 
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 No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/agent-assist

Vendor Details

Company Name

MindTitan

Country

United States

Website

mindtitan.com

Product Features

Product Features

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