Abstract: This disclosure relates generally to transaction processing, and more particularly to method and system for transaction processing in an application. In one embodiment, the method includes facilitating selection of an overlay application corresponding to the application. The application includes at least one window having a plurality of fields and is rendered in a first UI. At least one field of the plurality of fields is masked to obtain at least one masked field in the first UI. A second UI corresponding to the at least one window is rendered. The second UI is associated with the overlay application and includes at least one field blank field corresponding to the at least one field masked field in the first UI. Entering data is enabled in the at least one blank field in the second UI, and the data entered is compared with a prepopulated data to determine validity of the transaction.

Abstract: The present disclosure in particular relates to data processing, and more particularly, to systems and methods for identifying and extracting an informative segment from data objects. In one embodiment, a system for facilitating identification of an informative segment from a data is provided. The system includes one or more processors; and a memory storing processor-executable instructions comprising instructions to generate a customized search query based on one or more input parameters, process the data to obtain a plurality of machine-readable data objects, obtain one or more approximate results corresponding to the informative segment based on the customize search query and the plurality of data objects, validate the one or more approximate results based on a comparison of the one or more approximate results and the data, and provide the validated one or more approximate result to identify the informative segment.

Abstract: This disclosure relates generally to transaction processing, and more particularly to method and system for transaction processing in an application. In one embodiment, the method includes facilitating selection of an overlay application corresponding to the application. The application includes at least one window having a plurality of fields and is rendered in a first UI. At least one field of the plurality of fields is masked to obtain at least one masked field in the first UI. A second UI corresponding to the at least one window is rendered. The second UI is associated with the overlay application and includes at least one field blank field corresponding to the at least one field masked field in the first UI. Entering data is enabled in the at least one blank field in the second UI, and the data entered is compared with a prepopulated data to determine validity of the transaction.

Abstract: Disclosed is a system and method for processing a transaction. The method comprises receiving an input data from a user. The input data is associated with the transaction. The method further comprises creating a decision tree or a decision table based upon the input data and pre-defined rules. The decision tree comprises a parent node and a child node. The parent node and the child node comprise a first question and a second question respectively presented to the user. The decision table comprises a plurality of criteria/conditions being presented to the user. For each criteria/condition, a conditional response is received from the user. The method further comprises processing the transaction by identifying a solution, stored in a database, based on the decision tree or the decision table.

Abstract: Disclosed is a method and system for classifying a plurality of customer accounts based on a recoverable amount from a customer account. The method includes receiving historical data of the customer account and a user input indicating a selection of a predictive analytics algorithm from a set of predictive analytics algorithms, and building a predictive data model by executing the predictive analytics algorithm on the historical data. The building includes computing a contact index for the customer account and a payment index for the customer account. The building further includes computing a recoverability index based on the contact index, the payment index, and the outstanding amount. The recoverability index denotes the recoverable amount. The method further includes classifying the customer account based on the recoverability index.

Abstract: The present disclosure in particular relates to data processing, and more particularly, to systems and methods for identifying and extracting an informative segment from data objects. In one embodiment, a system for facilitating identification of an informative segment from a data is provided. The system includes one or more processors; and a memory storing processor-executable instructions comprising instructions to generate a customized search query based on one or more input parameters, process the data to obtain a plurality of machine-readable data objects, obtain one or more approximate results corresponding to the informative segment based on the customize search query and the plurality of data objects, validate the one or more approximate results based on a comparison of the one or more approximate results and the data, and provide the validated one or more approximate result to identify the informative segment.