9 ways to Transform
Seller Experience

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Did you know that Sellers spend 37% of their time selling?
Here's why.

Findability Issues

Solution: HR Software and ticketing systems
Sellers spend ~20% of their time looking for the right information, content, and people. The inability to find help easily results in internal meetings and emails, lowering productivity.

Intelligence Needs

Sellers spend more than 20% of their time researching, connecting, communicating, and following up on account actions. AI-based insights and actions recommendations to sellers and stakeholders can help accelerate deals.
Solution: Digigtal Adoption Tools

Tool Fatigue

Solution: Mooc, Mentoring Services
Sellers spend ~20% of their time learning to use multiple tools and navigating complex workflows. Constantly changing toolsets and flows causes frustration and disruption.
Sales Enablement Innovators
are improving Seller Experience
by leveraging the power of
Conversational AI to respond
to questions, recommend actions,
and help employees execute
tasks without friction.

Key components of a frictionless selling experience

Conversational, Intelligent, and Autonomous.

Solution

1

Pull

Inquiry Response

Single Conversational Interface that allows users to ask natural language questions to get highly accurate and personalized responses.

2

Push

Intelligent Advice

AI-driven diagnostic and prescriptive solution that recommends insights, contents, and actions.

3

Guided

Execution Support

A conversational AI solution that enables guided support and automates tasks.

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.

Inquiry Response

Single Conversational Interface asks natural language questions to get highly accurate and personalized responses.

Intelligent Advice

AI-driven diagnostic
and prescriptive solution that recommends insights, content, and action.

Executive Support

A conversational AI solution enables guided support and automates tasks.

Seller Digital Transformation In Action.

Here are 9 ways in which you can boost sales productivity.

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.

Conversatinal 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.

Introducing
Zinger

Zinger is the #1 Autonomous Sales and Service platform.

Zinger is the #1
Autonomous Sales and Service platform.

"Hosting has been so rewarding and life-changing. It’s allowed us to pursue our passion for interior design and helped us realise our niche – that we really love renovating spaces for others to enjoy."
Catherine,
interior designer and Host in Columbus, Ohio
Get Host tips
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.

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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