Abstract
The present disclosure pertains to the field of payment processing and predictive modelling for the Merchandise returns transactions in the context of payment transactions. More specifically, it focuses on developing a new model that offers predictability scores for merchandise returns, allowing merchants and acquirers to make informed decisions about the clearing of the original transactions. This innovative solution leverages historical data and employs linear regression to predict likelihood of a potential merchandise returns, potentially saving huge costs and resources for the merchant and acquirer and all the parties involved in the transaction processing.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Tomar, Deepak and Singh, Veerendra, "Merchandise Returns predictability", Technical Disclosure Commons, (November 20, 2023)
https://www.tdcommons.org/dpubs_series/6432