Artificial Intelligence And Machine Learning Engine

Untangle complex business processes through AI-powered solutions
An approach to modernize Solution providers offering

AI will provide valuable insights to CSPs for their Customers and Partners using its machine learning algorithm, which applies mathematical models to data(structured and unstructured) to extract information and find patterns that humans would likely miss. Implementing AI in the system can achieve network optimization, preventive maintenance, fraud detection, and real-time analytics benefiting the CSP by removing human-intensive calculations and making the process efficient and faster.

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FUTURISTIC

Business
BENEFITS

ORGANISED

Improved Customer Experience

  • Customer journey analytics connects data points across systems which prioritizes opportunities to improve CEX

Operational Excellence

  • Rationalize assets and improve utilization based on usage and machine generated data to reduce required Capex

Operational Excellence

  • Rationalize assets and improve utilization based on usage and machine generated data to reduce required Capex

Increase Revenue

  • Optimal pricing of connectivity services and premium content based on analyses or large transaction data sets and consumer behaviour patter leading to increase in Gross Revenue

Agility and Speed of Delivery

  • Lego Microservice Architecture is used to enable faster deployment with minimum to no downtime

Agility and Speed of Delivery

  • ‘Lego’ Microservice Architecture is used to enable faster deployment with minimum to no downtime

Reduce Cost

  • Predictive analysis to identify network issues and inefficiencies based on usage patterns, lead metrics, traffic analyses and network parameters


Use
CASES

 

Predictive Servicing

Customer Journey Optimization

Infrastructure Operations Optimization

Churn prevention

Fraud prevention

Product Recommendation

 

RESULT-DRIVEN

 

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