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What is Thankful?

Thankful's AI agent is specifically designed and customized to meet the needs of your business. It integrates smoothly with your current helpdesk system and can handle a high volume of customer inquiries through various channels such as email, chat, SMS, and in-app messaging. This AI agent is equipped to comprehend, connect, resolve, customize, and inform users effectively. It offers a service experience akin to human interaction, yet operates with the efficiency, knowledge, and scalability of a machine. Additionally, the assistance provided by Thankful's agent enhances the capabilities of human support teams by streamlining their workflow. It gathers pertinent information and proposes actionable next steps, allowing staff to focus on more complex tasks. With access to real-time data, reports, and alerts, brands can effectively address and resolve every customer issue. This innovative solution not only improves response times but also fosters a more personalized customer service experience.

What is Pega Customer Service?

The success of your organization heavily relies on the contributions of your agents. It is vital to keep your team motivated, efficient, and productive regardless of where they are working. Customers must feel appreciated and looked after at all times. To meet their expectations, provide proactive, personalized, and seamless experiences across various channels. In today’s fast-paced environment, managing multiple responsibilities efficiently is crucial. Implementing intelligent automation and effective case management solutions can help minimize costs while optimizing your communication channels. Enhance and automate workflows between teams and systems to accelerate the resolution of customer inquiries. Pega’s AI-enhanced case management is tailored to fulfill varying customer service demands. With ready-to-use microjourneys shaped by industry benchmarks, you can swiftly adopt impactful strategies. This methodology ensures efficient service delivery at each interaction point and lowers the cost-to-serve for your team amidst increasing contact volumes, thereby boosting overall customer satisfaction. By prioritizing this interconnected approach, both your team and customers can experience significantly improved outcomes. Ultimately, fostering this synergy is key to long-term success and customer loyalty.

Media

Media

Integrations Supported

Gladly
IBM Cloud
Kustomer
Magento
NetSuite
Pandium
Recharge
Salesforce
Shopify Plus
TechSee
Zendesk

Integrations Supported

Gladly
IBM Cloud
Kustomer
Magento
NetSuite
Pandium
Recharge
Salesforce
Shopify Plus
TechSee
Zendesk

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Thankful

Date Founded

2018

Company Location

United States

Company Website

www.thankful.ai/product

Company Facts

Organization Name

Pegasystems

Date Founded

1983

Company Location

United States

Company Website

www.pega.com

Categories and Features

Customer Service

Alerts / Escalation
Appointment Management
Call Center Management
Email Management
Knowledge Base
Live Chat
Performance Metrics
Queue Management
Self Service Portal
Social Media Integration
Surveys & Feedback
Virtual Assistant
Workflow Management

Customer Success

Account Alerts
Account Management
Communication Management
Customer Engagement
Customer Lifecycle Management
Health Score
Onboarding
Revenue Management
Usage Tracking / Analytics
Win / Loss Analysis

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