Abstract: Some embodiments of the present disclosure may relate generally to software-based service platforms and graphical user interface (GUI) architectures for determining and presenting rule-based conclusions, along with explanations identifying the factor or factors influencing the conclusions. Other embodiments may be disclosed and/or claimed.

Abstract: Some embodiments of the present disclosure may relate generally to software-based service platforms and graphical user interface (GUI) architectures for determining and presenting rule-based conclusions, along with explanations identifying the factor or factors influencing the conclusions. Other embodiments may be disclosed and/or claimed.

Abstract: Some embodiments of the present disclosure may relate generally to software-based service platforms and graphical user interface (GUI) architectures for determining and presenting rule-based conclusions, along with explanations identifying the factor or factors influencing the conclusions. Other embodiments may be disclosed and/or claimed.

Abstract: Some embodiments of the present disclosure may relate generally to a dynamic graphical user interface (GUI) architecture that helps provide a user-friendly and flexible capability for software users to create and manage software application rules. These rules may help with processing by a software service or software platform. Other embodiments may be disclosed and/or claimed.

Abstract: A system may learn what parameters are required for an item in order to compute tax for the item based on preliminary data regarding the item and/or the transaction. The system may determine a classification code based on such preliminary data and use that classification code to search or query a database storing information indicative of parameters required to compute tax for items having such a classification code. The system may map the received preliminary data into the learned required parameters and determine whether there are any required parameters for which there has not been any preliminary data mapped into them. The system may prompt the customer (e.g., seller of the item) or other user for data values of such missing required parameters or otherwise obtain data values of such parameters in order to compute the tax for the item.

Abstract: A system may learn what parameters are required for an item in order to compute tax for the item based on preliminary data regarding the item and/or the transaction. The system may determine a classification code based on such preliminary data and use that classification code to search or query a database storing information indicative of parameters required to compute tax for items having such a classification code. The system may map the received preliminary data into the learned required parameters and determine whether there are any required parameters for which there has not been any preliminary data mapped into them. The system may prompt the customer (e.g., seller of the item) or other user for data values of such missing required parameters or otherwise obtain data values of such parameters in order to compute the tax for the item.