Customer Journey

 NLP and faster  problem solving in call centers

Faster orders processing using classifications and machine learning

NLP AND FASTER  PROBLEM SOLVING IN CALL CENTERS

Design and implement natural language processing

Ability to understand semantics and intentions

Natural dialog flow in calls

Ability to identify issues and route to specific discussion to analyze issues and provide automated response  

 FASTER ORDERS PROCESSING USING CLASSIFICATIONS AND MACHINE LEARNING

Can understand and classify types of orders based on order content

Can define gaps or missing information in orders to route to specific functions to acquire more info

Ability to provide decisions based on content or route to other agents with pre-defined qualifications of the content to speed the order processingdes coins arrondis.

 Sentiment Analysis in social media & call center calls

Analyze credentials faster using

Classifications & Intelligent Predictions

Can analyze customers behavior and history and predict additional insights about customers

Sentiment Analysis in social media & call center calls

We have AI algorithms than can analyse sentiment of customers in social media and call center

Ability to build profiles of customers based on sentiment that can be used later like promotions

Can create segmentation of customers based on sentiment analysis and related to services: Service A is producing more satisfaction than service B

 

USING

CLASSIFICATIONS & INTELLIGENT PREDICTIONS

We can analyse credentials of customers much faster than manual processes

Ability to filter content and apply rules so it can predict conformance of customers and their orders

Can predict gaps in customers applications and define next steps or additional information needed without human intervention

 CAN ANALYZE CUSTOMERS BEHAVIOR AND HISTORY AND PREDICT ADDITIONAL INSIGHTS ABOUT CUSTOMERS

Specialized algorithm that builds behaviour rules and can analyse the history of the customer so it can predict additional actions needed: better or needed services

Provides prediction if potential issues with customers that can affect their satisfaction

 Optimized Risk Analysis for Applications

Customers behavior Analysis & Detection

OPTIMIZED RISK ANALYSIS FOR APPLICATIONS

Ability to identify risks based on client history

Fully automated rules and process to analyse risk with potential scoring per each client

Scalable AI algorithm that allows risk analysis for either consumer or enterprise risk analysis – for enterprise it provides approximations of risk scores that need to be further validated by human experts

Customers behavior Analysis & Detection

Ability to detect repetitive tasks

Continuous monitoring of transactions to detect behaviour

Ability to understand and apply regulator inspection rules in a fully automated format