Subex AI Labs

A showcase of our most popular AI use cases, experiments and thought leadership artifacts.
Overview
AI has tremendous potential and the power to transform the telecom industry. As business operations become more complex and the pressure on margins and efficiency continues to rise, telcos are aggressively investing in AI to unlock benefits in the short and long term. Today, AI has a play in multiple areas spanning across optimization, revenue enhancement, and customer experience.
Our expertise
AI has tremendous potential and the power to transform the telecom industry. As business operations become more complex, and the pressure on margins and efficiency continue to rise, telcos are aggressively investing on AI to unlock benefits in the short and long term. Today, AI has a play in multiple areas spanning across optimization, revenue enhancement, and customer experience.
Strong test control framework
Proprietary high performing algorithms
Scientific man-machine construct
Domain-specific AI
Robust feature synthesis module
Last optimization for incremental accuracy and performance
Our expertise
Proprietary high performing algorithms
Scientific man-machine construct
Strong test control framework
Robust feature synthesis module
Last optimization for incremental accuracy and performance
Domain-specific AI

Key challenges without Assurance

The partnership or commission assurance is important to mitigate the root cause areas of leakage such as overpayment of partner commissions, incorrect settlement of third-party service, failure to provide services to partners correctly etc. If not followed it leads to challenges like:

  • Incompleteness & inaccuracy of the partner data across all services to provide a holistic view
  • Partner invoice validation for any payouts is rarely reviewed by assurance
  • Dealer sales frauds to extract commission and incentives
  • Service assurance across various partner ecosystems providing services to end user
  • Complexity in calculation & subsequent validation of commission & incentive payout
  • Absence of partner insights on customer reach, revenue, risk, consistency, and customer feedback

What Subex Business Assurance offers:

Data strategy
It ensures data completeness and accuracy tracking. It also collection of data across various source like kafka, PDF, etc
Dealer assurance
It ensures dealer commission, calculation validation and performance tracking of the dealer. It also enables revenue tracking for new sales by dealer
Partner strategy
It enables Partner fraud risk monitoring and risk profiling & tracking. It also validates the key input Partner invoice validation
ERP validation
It ensures Revenue booking validation and Cost booking validation. It also enables the adjustment tracking features

Additional Coverage

Partnership and commission assurance have a key role to play under Business Assurance forum. The reconciliations performed under this assurance are taken from sources like ICT Trunk Dump, Network Trunk Dump, ICT Business Agreement Dump, IMSI Dump, VAS Subscription, VAS Invoice, Third party Subscription etc. The industry is experiencing the general shift in terms of technology disruption and next generation activities. This assurance also tackles few more challenges across customer experience and opportunity loss with its AI/ML based automation and data driven analytics scope such as:

  • Predict dispute propensity of partners
  • Forecast future revenue opportunity
  • Credit scoring and threshold analysis
  • Dealer analysis to predict time to churn
Prominent AI use cases
External media
Contribution to the community
At Subex, not only are we focused on building futuristic solutions to industry problems, but are equally committed to contributing back to the Open Source community. In this endeavor, we have created multiple Open Source python libraries that are available for download.
  • Dominance Analysis
    This library is a work in the area of ‘Explainable AI.’ This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on a given dataset.
  • Exploripy
    A library for Pre-Modelling analysis of the data, by doing various exploratory data analyses and Statistical Test automatically
Related blogs
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