Abstract: Embodiments provide artificial intelligence based methods and systems for generating account-related summaries. Method performed by server system include accessing rule generator file and historical transaction data corresponding from database. The method includes generating a set of transaction features based on the rule generator file. The method includes extracting via a first machine learning model, a subset of relevant transaction features from the set of transaction features based on the historical transaction data. The method includes generating via second machine learning, a structured report template based on the subset of relevant transaction features. The structured template report includes a plurality of natural language sentences embedded with the subset of relevant transaction features.

Abstract: Methods and server systems for computing fraud risk scores for various merchants associated with an acquirer described herein. The method performed by a server system includes accessing merchant-related transaction data including merchant-related transaction indicators associated with a merchant from a transaction database. Method includes generating a merchant-related transaction features based on the merchant-related indicators. Method includes generating via risk prediction models, for a payment transaction with the merchant, merchant health and compliance risk scores, merchant terminal risk scores, merchant chargeback risk scores, and merchant activity risk scores based on the merchant-related transaction features. Method includes facilitating transmission of a notification message to an acquirer server associated with the merchant.