Abstract: Disclosed embodiments may relate to crowdsourcing updated information based on raw transaction data. A set of candidate merchant data that matches raw merchant data associated with a customer's purchase transaction may be inferred using a machine learning model. The merchant data may comprise merchant name, postal code, state, city, or merchant category code. An electronic purchase alert may be generated that requests the customer to identify merchant data from the candidate merchant data associated with the purchase transaction. The electronic purchase alert may be transmitted to a customer within a predetermined time after the transaction. The purchase alert is accessible to the customer through a computing device. Further, the machine learning model may be retrained after a predetermined time with the raw merchant data and identified merchant data associated with the transaction and additional transactions.