Abstract
Online payments can fail for a variety of reasons such as insufficient funds, invalid state of the payment instrument, chargebacks, or one of the involved financial systems being unavailable. Anomalies in payment transactions can result in a loss of money either to a customer or business. Current online payment systems cannot handle such anomalies efficiently and at scale. This disclosure describes techniques to perform smart payments reconciliation by automatically detecting and resolving payment anomalies in online payment transactions. The techniques perform automated early detection of anomalies using artificial intelligence and initiate remedial actions. The described techniques can help improve the accuracy and therefore the reliability of online payment systems by reducing errors in accounting records. The described techniques can help improve the customer experience for online shoppers by making sure that customers are correctly charged or issued an appropriate refund based on purchased or returned items.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Shiramshetti, Nagaraju, "Smart Payments Reconciliation by Automatically Detecting and Resolving Anomalies", Technical Disclosure Commons, (June 26, 2023)
https://www.tdcommons.org/dpubs_series/5997