9 ways to transform
People Experience with
Digital Employee Assistant

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Self-Trained Conversational Platform to make complex user workflows Autonomous.

Overview VideoSchedule Demo

Put Training, Maintaining, and Scaling chatbots on Autopilot

Say goodbye to manual knowledge base creation, natural language training, and bot flow development with Zinger.

Solution

1

Pull

Intent and Q&A Creator

Auto-generates FAQ database by parsing documents and videos.

Auto-identifies tasks from user guides and help manuals.

Auto-creates Intent and Entities from API documentation.


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2
‍

Push

Auto NLU Trainer

Delivers superior NLU performance compared to popular NLU Engines.

Uses Large Language Models, Pre-Trained Models, and Generative AI to reduce training samples and training iterations.
‍


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3
‍

Guided

Flow Automation

Creates dynamic guided bot flows from user guides and training manuals, automatically.

Auto-creates forms from API documentation.
‍
Uses AI to generate qualifying questions and route to help desks.


Learn More

1

Pull

Learn Our Quality
Standard

Make sure your experience meets our bar for expertise, insider access, and connection.

2
‍

Push

Create an experience
page

Your page is how people find you. Make a great first impression by highlighting your expertise and adding high-quality photos.

3
‍

Guided

Start hosting your
experience

As long as your experience meets the standards, you’re ready to add dates and start hosting.

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Your business users do not need just any conversational assistant. They need an intelligent productivity engine that responds to questions, recommends actions, and helps them execute tasks without friction.

Turn your Conversational Assistant into a Digital Transformation Agent with Zinger.

Inquiry Support

Solution: HR Software and ticketing systems
Contextual response to user questions with exact answers from deep within documents from multiple internal and external systems.

Recommendation Support

Analytical Engine that uses user query and action insights to recommend the next best actions with content and people support.
Solution: Digigtal Adoption Tools

Transaction Support

Solution: Mooc, Mentoring Services
Conversational solution that not only automates tasks but enables context-sensitive turn-by-turn guided support on transaction systems.
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Are you evaluating
Conversational AI
solutions?

There are hundreds of chatbot platforms. Below are the 9 key features you should be looking for when evaluating.

Respond

Recommend

Execute

No Training Search

Most NLU engines require a lot of language training to perform
Look for no/low training solution.

Next Best Action

Most solutions recommend static or rules-based actions
Look for dynamic ML-based solutions that self learns.

Guided Support

Most chatbots require static guided flows to be created
Look for automated flow creation capabilities using user manuals.

No FAQ creation effort

Most bots require you to create large knowledge bases
Look for automated FAQ creation from unstructured docs & videos.

Content Recommendation

Most solutions recommend based on user profile and content usage
Look for solutions that account for performance, assessments, and feedback.

API based Automation

Most bots require input forms for API parameters to be added
Look for solution that auto-creates user questions using API documentation.

One hop response

Most bots provide a single intent response
Look for solutions that provide informational, navigational, and transactional bundles.

People Recomendation

Most solutions escalate to specific help desks
Look for context and skill sets based routing capabilities.

Conversational Workflows

Most bots allows workflows to be created and triggered manually
Look for solution that allows for time-triggered, event-triggered, and manually triggered workflows.

Respond

No Training Search

Execute

No Training Search

Most NLU engines require a lot of language training to perform.
Look for no/low training solution

Next Best Action

Most solutions recommend static or rules-based actions
Look for dynamic ML-based solutions that self learns

Guided Support

Most chatbots require static guided flows to be created
Look for automated flow creation using user manuals.

No FAQ creation effort

Most bots require you to create large knowledge bases.
Look for automated FAQ creation from unstructured docs & videos

Content Recommendation

Most solutions recommend based on user profile and content usage
Look for solutions that account for performance, assessments, and feedback

API based Automation

Most bots require input forms for API parameters to be added.
Look for a solution that auto-creates user questions using API documentation.

One hop response

Most bots provide a single intentresponse.
Look for solutions that provide informational, navigational, and transactional bundles.

People Recommendation

Most solutions escalate to specific helpdesks.
Look for context and skill sets based on individual SME routing.

Conversational Workflows

Most bots allow workflows to be created and triggered manually.
Look for solutions that can be
time-triggered, event-triggered, and manually triggered.

"Thatis why we build Zinger to transform People Experience with highly personalized,timely,  accurate, and conversational HRsupport."

Rujul Pathak at Zendesk

Introducing
Zinger

Zinger is the #1 Autonomous Sales and Service platform.

Zinger is a Business Acceleration Platform that enables businesses to become Autonomous

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Catherine,
interior designer and Host in Columbus, Ohio
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Zinger is designed to be a Problem Solving Machine that
  • Asks and responds to questions.
  • Recommends content and actions.
  • Activates & automates actions flows.
Self trained response engine
Zinger,
  • Contextually responds to questions.
  • With exact answer from deep within documents, videos, web pages and
    databases.
  • There is no need to create FAQs and knowledge bases. Zinger creates Q&A pairs automatically without any traning.
intelligent recommendation system
Zinger,
  • Recommends the next steps and content based on profile, performance, process flows, past activity, and preference.
  • Its ML-based analytics engine generates success patterns to predict and prescribe accurately.
  • AI-based insight engine that gleans usage and impact patterns to help with decision-making.
Experience and Execution Engine
Zinger,
  • Automates actions via conversational requests or machine-to-machine triggers.
  • It allows no-code conversational apps to be built to activate collaborative workflows within Teams, Slack ,and Google Chat.
  • Its automated guided instruction generation from user manuals to help with Digital Adoption and change management.

Why host on Airbnb?

Hosts reveal what they love about sharing their space on Airbnb.

How to get started on Airbnb

From creating your listing to prepping your space, learn how to start hosting.

How to earn money on Airbnb

Here's what every Host needs to know about pricing and payouts.

Designing your space

Designing your space for guests can be a quick way to boost your bookings.

id="Secrets from a seasoned Superhost"

Superhost Nikki shares her tips, from setting up to standing out.

Why host on Airbnb?

Hosts reveal what they love about sharing their space on Airbnb.

How to get started on Airbnb

From creating your listing to prepping your space, learn how to start hosting.

How to earn money on Airbnb

Here's what every Host needs to know about pricing and payouts.

Connect with our experts for a free consultation and a personalized demo.‍

We'll share more about Conversational AI technology and give access to live webinars.
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