Adjusting a zoom level of a transaction map

Abstract

A server programmed for adjusting a familiarity score associated with a merchant location based on a transaction history associated with the merchant location is disclosed herein. The familiarity score may indicate a likelihood of a customer being geographically familiar with the merchant location. The transaction history associated with the merchant location may include a history of financial transactions executed by the customer at the merchant location. A magnitude of an adjustment may be mediated by a machine-learning algorithm trained to adjust the familiarity score to at least raise or maintain a customer engagement score with a transaction map or reduce zoom level adjustments of the transaction map by the customer. The server may also be programmed to adjust the familiarity score based on location data for a mobile device. The location data may include a time-ordered, duration-specified history of the customer relative to the merchant location The magnitude of the adjustment may be mediated by the machine-learning algorithm. The server may also be programmed to select a zoom level of a graphical user interface (GUI), based on the familiarity score, for the transaction map containing the merchant location. The transaction map may be a navigational map displaying at least one merchant location as it relates to at least one financial transaction.