OEM


    DTS/22

Customer Insight Manager

AI platform, Advanced NLP

Customer Insight Manager (CIM), powered by Datanomers' advanced NLP, fuels your organization with Omni-channel conversation analytics to empower you with proactive insights so you can prevent customer attrition, up-sell/cross-sell and keep your customers happy. CIM is an AI platform that understands your customers attitude while they are conversing with your customer support personnel via chat, email or voice. CIM detects and provides you with insights into what is utmost (uppermost) on their mind using world-class natural language processing. What products or services are they discussing; are they pleased or unhappy with them? What is their attitude with the customer support being provided to them? Most importantly, are they at risk of attrition?

    Datanomers




    OEM


    DTS/22


Differentiators

 

  1. Product Sentiment Oversight
  2. Real Time Issue Insight
  3. Premium Customer Support

 

 

Solution

 

CIM detects and provides you with insights into what is utmost (uppermost) on the customer’s mind using world-class natural language processing. What products or services are they discussing; are they pleased or unhappy with them? What is their attitude with the customer support being provided to them? Most importantly, are they at risk of attrition?

 

 

 

Features

 

  1. Product Sentiment Oversight
  2. Real Time Issue Insight
  3. Premium Customer Support

 

 

Client end Requirment

We will provide recommendations, depending on the type of implementation.

Architechture

Technical Specifications

 

  1. AI / Natural Language Processing – Understands Customer Attitude
  2. Operates Proactively – In Real time
  3. Accepts Omni-Channel Inputs – Chat / Email / Voice
  4. Easy to Trial – Input your customer logs, CIM gives you the insights
  5. Easy to implement – Connectors to legacy systems, no need to rip and replace
  6. Rich Reporting and Analytics
  7. Actionable Intelligence – So that Management can react timely and take up remediation

 

 

Target Clients

Any Enterprise / PSU / Govt having a large Client base and wanting to improve customer experience management.

Use cases

CIM detects and provides you with insights into what is utmost (uppermost) on the customer’s mind using world-class natural language processing. What products or services are they discussing; are they pleased or unhappy with them? What is their attitude with the customer support being provided to them? Most importantly, are they at risk of attrition?

Differentiators

 

  1. Product Sentiment Oversight
  2. Real Time Issue Insight
  3. Premium Customer Support

 

 

Solution

 

CIM detects and provides you with insights into what is utmost (uppermost) on the customer’s mind using world-class natural language processing. What products or services are they discussing; are they pleased or unhappy with them? What is their attitude with the customer support being provided to them? Most importantly, are they at risk of attrition?

 

 

 

Features

 

  1. Product Sentiment Oversight
  2. Real Time Issue Insight
  3. Premium Customer Support

 

 

Client end Requirment

We will provide recommendations, depending on the type of implementation.

Scope

Architechture

Technical Specifications

 

  1. AI / Natural Language Processing – Understands Customer Attitude
  2. Operates Proactively – In Real time
  3. Accepts Omni-Channel Inputs – Chat / Email / Voice
  4. Easy to Trial – Input your customer logs, CIM gives you the insights
  5. Easy to implement – Connectors to legacy systems, no need to rip and replace
  6. Rich Reporting and Analytics
  7. Actionable Intelligence – So that Management can react timely and take up remediation

 

 

Target Clients

Any Enterprise / PSU / Govt having a large Client base and wanting to improve customer experience management.

Pricing / commercial model

Use cases

CIM detects and provides you with insights into what is utmost (uppermost) on the customer’s mind using world-class natural language processing. What products or services are they discussing; are they pleased or unhappy with them? What is their attitude with the customer support being provided to them? Most importantly, are they at risk of attrition?

A Data Company