Partnership, commission & invoice

Worried about overpayment of commissions or incorrect settlement?
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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
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