Abstract: Techniques are described herein that are capable of automatic mapping of a question or compliance controls associated with a compliance standard to compliance controls associated with another compliance standard. Reference controls having respective first subsets of text-based features are identified. A question having a second subset of the text-based features or custom controls having respective second subsets of the text-based features are identified. Scores for the respective reference controls are determined for the question or each custom control using a supervised natural language processing machine learning model based at least on the first subsets of the text-based features and the second subset(s) of the text-based features. A compliance map is generated by automatically mapping the question or each custom control to a respective subset of the reference controls using the supervised natural language processing machine learning model based at least on the scores.

Abstract: Systems, methods and apparatuses for implementing user customizable policies for revenue recognition are described. In some embodiments, user inputs are received from a merchant that specify components of a set of revenue recognition rules to apply to transactions of the merchant on a per transaction basis, wherein each revenue recognition rule specifies a set of conditions to be met to trigger its application, a rule identifier, status, and whether the revenue recognition rule is applied at least one of: a specified product; a specified invoice; a specified customer; a specified payment; a specified refund; and a specified dispute. The user inputs are converted into rules to enable the rules to be matched to the transactions. A transaction is tracked by a server computer system. One or more applicable revenue recognition rules are identified to apply to the transaction, and revenue recognition is performed against the transaction.

Abstract: Systems, methods and apparatuses for implementing user customizable policies for revenue recognition are described. In some embodiments, a method comprises: tracking, by a network commerce system, a plurality of transactions; determining one or more revenue recognition rules of a plurality of revenue recognition rules that applies to each transaction of the plurality of transactions based on results of matching performed between conditions of each of the plurality of revenue recognition rules and one or more characteristics of said each transaction, the conditions of each rule including an effective time period during which individual transactions are subject to the rule; and automatically performing revenue recognition for each transaction according to one of the one or more revenue recognition rules determined to apply to said each transaction using based on results of matching conditions of one revenue recognition rule and the one or more characteristics of said each transaction.

Abstract: Systems, methods and apparatuses for implementing user customizable policies for revenue recognition are described. In some embodiments, a method comprises: tracking, by a network commerce system, a plurality of transactions; determining one or more revenue recognition rules of a plurality of revenue recognition rules that applies to each transaction of the plurality of transactions based on results of matching performed between conditions of each of the plurality of revenue recognition rules and one or more characteristics of said each transaction, the conditions of each rule including an effective time period during which individual transactions are subject to the rule; and automatically performing revenue recognition for each transaction according to one of the one or more revenue recognition rules determined to apply to said each transaction using based on results of matching conditions of one revenue recognition rule and the one or more characteristics of said each transaction.