Rakuten Symphony Singapore Pte. Ltd.

A method for pre-processing information, performed by at least one processor, is provided. The method includes retrieving information from a social platform based on predetermined keywords defined by a system user, obtaining a blacklist of user accounts, the blacklist including user account information and a blacklist reason for adding the user account information to the blacklist; pre-processing the retrieved information, based on the blacklist, determining a sentiment value associated with the pre-processed information and assigning the pre-processed information to a sentiment category based on the sentiment value, and displaying a first graphical user interface (GUI) for receiving user input information to generate a ticket for the pre-processed information. A list of the retrieved information may be displayed, wherein the user accounts included in the blacklist are distinguishably displayed on the GUI.

A method, performed by at least one processor of a computing device, for recommending an event, the method including determining a frequency of execution of the event by a user among a plurality of users; determining an inverse user frequency of execution of the event based on the plurality of users who have executed the event; generating a recommendation factor by modifying the frequency of execution of the event by the user based on the inverse user frequency of execution of the event; and outputting a recommendation for the event based on the recommendation factor.

Architectures, and methods and systems for implementation thereof are disclosed. A system for implementing business support system (BSS) architecture comprises a memory; and a processor to execute instructions to implement the architecture, which comprises: a plurality of layers, and real-time event streams transferring data between components of the layers, which comprise: an engagement and core commerce management layer for providing a plurality of user interfaces respectively corresponding to a plurality of use cases; an event based automation and user data platform layer comprising real-time customer data and a plurality of automation workflows for executing the plurality of use cases based on real-time customer data; a core BSS components layer; an intelligent management layer for managing insights, model development and execution of batch models; and a cloud infrastructure management layer configured providing cloud functionality for a Software as a Solution (SaaS) implementation of the BSS architecture.

A system, performed by at least one processor of a computing device, for providing usage or behavior based insurance information includes a provisioning module that communicates with SIM-based IoT sensors to activate or deactivate the sensors; a data processing module that converts raw data received from the sensors into usable or readable information; a customer relationship management (CRM) database module in which user details and sensor data relating to the user are stored; an analytics module that receives information from the data processing module and determines accuracy of the received information; and a reporting module that receives the analyzed information from the analytics module and generates customized reports in real-time or near-real-time based on a request from an associated party and on the received information.

A method and a system for personalized customer dunning, performed by at least one processor. The method includes monitoring a status of a plurality of invoices; obtaining a customer score for a customer corresponding to an invoice of the plurality of invoices, based on the status of the invoice, and wherein the customer score is previously determined based on customer data; receiving customer-specific data via a real time data ingestion pipeline from one or more customer data sources; generating a dunning score for the customer based on the received customer-specific data and the customer score; determining one or more dunning actions, based on the dunning score; performing the one or more dunning actions; and notifying the customer of the performed one or more dunning actions via a first engagement channel.