Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform functions comprising: receiving a drug profile for a drug identified as part of a high-risk look-alike-sound-alike (LASA) drug pair prior to filling a prescription for the drug; generating an anomaly score based on direction components of the drug profile; and transmitting an alert to a fulfilment screen when the anomaly score exceeds a predetermined threshold. Other embodiments are disclosed.

Abstract: Systems, methods, and computer-readable media are configured to auto-populate pharmacy SIG codes based on pattern matching model in a pharmacy system. The prescriptions including one or more fields of prescription information in natural language are received in the system. The prescription information can be parsed according to rule-based pattern matching model. The parsed prescription information can be mapped to a token SIG using rule-based pattern matching model dictionaries. A prescription SIG code based on each of the token SIG can be generated. A confidence value of the prescription SIG code based on character coverage of the prescription can be calculated.

Abstract: Examples provide an activity reward generator for generating customized activity-based rewards. A per-user activity threshold is generated for a user based on user data and/or transaction history data. A customized minimum transaction threshold is generated based on retail environment data and/or transaction history data associated with a retail environment. An amount of activity performed by a user within the retail environment is calculated based on activity data and an activity type for the user. If the calculated amount of activity exceeds the per-user activity threshold and a transaction total for a selected transaction completed by the user exceeds the customized minimum transaction threshold, reward point(s) corresponding to the amount of activity are given to the user. If the total number of reward points of the user exceeds a minimum rewards points threshold, providing a customized reward to the user.