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 about their Customers and Partners. AI uses 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.
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
25%
25%
20%
3.5%
8%
5%
10%
Use
CASES
Predictive Servicing
Customer Journey Optimization
Infrastructure Operations Optimization
Churn prevention
Fraud prevention
