Abstract: Techniques and arrangements for industry vertical classification of merchants using merchant signals, based, in part, on comparing the merchant signals with collected business class profiles. The merchant signals can include reported data, collected data, and third-party data associated with the merchant. The techniques can include identifying one or more business class profiles using the data associated with the merchant and classifying and/or reclassifying the merchant within a business class using the one or more identified business class profiles.

Abstract: A payment processing system is configured to support purchase transactions generated by merchant point-of-sale (POS) devices. Information regarding the purchase transactions is archived and periodically analyzed using machine learning to create a predictive model relating transaction attributes to bank interchange fees. The predictive model is then used to estimate interchange fees that are later passed on to merchants. This allows more accurate settlement with merchants in situations where reports regarding actual interchange fees are not yet available.