Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Major technology firms such as Amazon have raised expectations for convenience and the ability to access services anytime and anywhere, and the insurance sector is no exception. Customers today desire the freedom to engage with your business, manage their policies, and obtain information at their convenience, regardless of their location. By enabling self-service options for clients, your team can devote more time to essential revenue-generating tasks. Our innovative online and mobile self-service platform, Applied CSR24®, is pioneering in the insurance industry, ensuring that your customers remain connected to your business. To thrive in the digital age, it is crucial to meet the evolving expectations of consumers, as this will enhance client satisfaction, foster loyalty, and differentiate you from competitors. Recognizing that each client has distinct needs, it is important to customize the documents they receive to align with their specific requirements. This tailored approach not only improves the client experience but also reinforces your commitment to personalized service.
Description
Zingly empowers your customers with AI capabilities, enabling your business to scale infinitely, enhance revenue, and significantly lower expenses. Say goodbye to lengthy hold times and hello to instant communication. By engaging with customers through web and mobile platforms at any time, you can boost revenue, foster loyalty, and streamline costs. This innovative approach merges digital technology, AI, and telephony into a single collaborative customer interface, redefining omnichannel communication. Achieve impactful business results by strategically involving agents, minimizing customer hurdles, and creating opportunities for revenue generation. Experience round-the-clock sales and support, enhance customer interaction, and improve ROI. Adapt to your customers' pace and deliver an exceptionally personalized and collaborative experience to all. Zingly stands out as a quicker, more cost-effective, secure, and well-organized alternative to conventional chatbots in the market today, ensuring your business thrives in a competitive landscape.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Clearbit
Docusign
HubSpot CRM
HubSpot Customer Platform
Microsoft 365
Microsoft Azure
OpenAI
Q2
Salesforce
Integrations
Amazon Web Services (AWS)
Clearbit
Docusign
HubSpot CRM
HubSpot Customer Platform
Microsoft 365
Microsoft Azure
OpenAI
Q2
Salesforce
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
Applied Systems
Founded
1983
Country
United States
Website
www.appliedsystems.com
Vendor Details
Company Name
Zingly
Country
United States
Website
www.zingly.ai/
Product 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
Product Features
Chatbot
Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration
Customer Experience
Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis