9 ways to transform
People Experience with
Digital Employee Assistant

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Natural Language
Conversations for
Problem Solving

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Accurate Inquiry Response = Natural Language + Context + Domain Understanding

Natural Language Understanding

Solution: HR Software and ticketing systems
Our high accuracy NLU engine is enhanced by Large Language Models and Semantic Vectors. It performs better than LUIS and RASA.

Context Understanding

Solution: Digigtal Adoption Tools
Our Context Engine distinguishes between informational, transactional, navigational, and numerical questions. It also personalizes responses based on user profile and transaction history.

Domain Understanding

Solution: Mooc, Mentoring Services
Our Knowledge Engine helps with “Reasoning” so that chatbots can organically continue the conversation than just respond.
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Zinger’s Proprietary Multi-Purpose Inquiry Response Platform

Knowledge Engine
NLP Engine
Context Engine
Experience Engine
Knowledge Graphs
Large Language Models
Query Context - informational
/Transitional/
Navigational
Chatbot Experience
Multi-task Unified
Models
Pre - Trained Models
Qualifying question generation
Search Experience
Query Sequencing
Blended Vector Search
Page and Activity Context
Headless Experience
Knowledge Source Prioritization
Intent & Entity
Classification
User Context
Live Chat
Experience

Natural Language Understanding

Language Understanding is not trivial. Most users don’t give chatbots a second chance if their first response isn’t accurate. Our proprietary NLU engine outperforms popular industry alternatives. We use the following technologies improve NLU performance and time to train.

- Large Language Models
- Semantic Vectors
- Pre-trained Models for cold start
- Enhanced Classifiers

Context Understanding

Context is king when it comes to inquiry response. Our advanced Inquiry Response System can assess the type of query and route it to different response pipelines. The key components of our context engine are as follows

- Query context identifier that distinguishes between  Informational, Navigational, Transactional, and Numerical query types
- Context vectors to help refine responses based on user profile, usage pattern, and current activity context
- If the context is ambiguous our context engine generates qualifying questions to refine the results

Domain Understanding

A true problem-solving assistant should have an understanding of the subject matter and issue pattern. The following technologies help our Inquiry Response Engine to continue the conversation with the user intelligently.
‍
- Knowledge Graphs
- Multi-Task Unified Models
- Query Sequencer
- Knowledge source prioritization logic

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.

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 helpdesk.

‍
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.

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

Rujul Pathak at Zendesk
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

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.

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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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