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                       fleXC

We Know The Best Package Combination That Suites Your Subscriber Needs
How do we make the subscriber feel happy ever with the best match package plan ?

The Solution = fleXC

fleXC personalized tariff plan solution is designed to help MNO to precisely recommend the most suitable tariff plan to subscriber with the advanced  Tariff Recommendation Algorithm, powered by machine learning technology and Artificial Intelligence (AI).

​The system will study the subscriber usage pattern, calculate and propose the relevant tariff plan according to their usage.


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Tariff Recommendation Algorithm

fleXC content-based recommendation algorithm discovers subscriber’s interests or content consumption behaviors, and extract the characteristics through the method of feature extraction. 
 
By calculating the similarity of the content consumption, the A.I. algorithm will recommend the related telecoms package to subscribers in order to achieve great satisfaction. A content based recommendation algorithm include following steps: 
  • Consumption Expression
  • Subscriber’s Preference Learning
  • Create Recommendation

Modular Architecture

Multi-Channel Access

​fleXC is designed in ultra flexible architecture with 3 main components.
 
Man Machine Interface
The Man and Machine interface is taking charge of the effective communication with subscriber through APP and USSD channel. The module will collect the needed information from subscriber end and handover to the Data Management and Data Query module for next level of processing.
 
fleXC Core Engine
The core of the fleXC consists of several sub-components that built the brain of the system.
  • Security and Authentication Module (SAM) to validate subscriber access and entitlement through integration to MNO’s AAA platform (or similar)
  • Data Management Module stores and records user and historical package selection information through the fleXC system into the respective database.
  • User info database and Package information database serve as the one of the input source for subscriber package modeling and recommendation calculation.
  • Core AI Modeling and Recommendation module takes in all the key elements/sources and performs profiling and recommendation calculation. The self-learning engine will get better and better with more information fed into the system.
  • Package Definition Module allows the administrator to define the rules set and fundamental requirement of a package creation/formation
 
Integration Adaptor Module
 Integration Adaptor Module designed to provide quick and easy integration with various MNO ecosystem, such as: IN, Billing, CRM, PCRF, AAA, Package Catalogue through industry standard protocol: HTTP/HTTPS, REST, XML, SOAP and etc
​fleXC system is designed in a Browser/Server architecture and client portal consists of a USSD, Web and a mobile application (APP) in an easy to use manner for convenience of all subscribers.
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* APP mock screen. For reference only.
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