Abstract: A pharmacy order facilitation method includes receiving a message; training a machine learning model; generating an intent; generating a response message; and transmitting the response message. A computing system includes a processor and a memory storing instructions that, when executed by the one or more processors, cause the computing system to: receive a message; train a machine learning model; generate an intent; generate a response message; and transmit the response message. A computing system includes a mobile device; a server device configured to: train a machine learning model; analyze the inbound message; identify a customer intent; perform an action based on the customer intent; and transmit an outbound message.

Abstract: The method and system may provide a seamless handoff of user information from a drugstore to a call agent. When a customer communicates with a drugstore device regarding a drugstore-related inquiry, the drugstore device attempts to identify an answer to the drugstore-related inquiry. When the drugstore device does not identify an answer to the drugstore-related inquiry, the drugstore device initiates communication between the customer and a contact center. A transcribed version of the communication may be stored in a database accessible by the contact center along with additional user information for the customer related to the customer's experiences with the drugstore. The user information may be provided to a call agent's contact center device for display and in this manner, the call agent may be made aware of the communication to avoid asking repeat questions and to quickly and efficiently answer the customer's drugstore-related inquiry.

Abstract: A pharmacy order facilitation method includes receiving a message; training a machine learning model; generating an intent; generating a response message; and transmitting the response message. A computing system includes a processor and a memory storing instructions that, when executed by the one or more processors, cause the computing system to: receive a message; train a machine learning model; generate an intent; generate a response message; and transmit the response message. A computing system includes a mobile device; a server device configured to: train a machine learning model; analyze the inbound message; identify a customer intent; perform an action based on the customer intent; and transmit an outbound message.

Abstract: A computer-implemented method includes receiving a message of a pharmacy customer wherein the message includes a text string, and generating a set of one or more intents corresponding to the pharmacy customer by analyzing the text string using a trained machine learning model, wherein each of the one or more intents correspond to a respective desired action pertaining to the pharmacy order. The machine learning model may be a classification model. The method further includes generating at least one response message based on the set of intents corresponding to the pharmacy customer and transmitting the at least one response message to a mobile device associated with the pharmacy customer. The set of one or more intents may be chosen from a list of commonplace pharmacy customer intents.

Abstract: Systems and methods for automatically processing prescription refills and transfers are disclosed. According to certain aspects, a server associated with a pharmacy may receive, from an electronic device, a message including a digital image depicting a container of a prescription. The server may analyze the digital image to identify a set of visual identifiers depicted in the digital image. Based on the set of visual identifiers, the server may determine whether the prescription is associated with the pharmacy and, based on the determination, may facilitate either a refill of the prescription or a transfer of the prescription to the pharmacy.

Abstract: The method and system may provide a seamless handoff of user information from a drugstore to a call agent. When a customer communicates with a drugstore device regarding a drugstore-related inquiry, the drugstore device attempts to identify an answer to the drugstore-related inquiry. When the drugstore device does not identify an answer to the drugstore-related inquiry, the drugstore device initiates communication between the customer and a contact center. A transcribed version of the communication may be stored in a database accessible by the contact center along with additional user information for the customer related to the customer's experiences with the drugstore. The user information may be provided to a call agent's contact center device for display and in this manner, the call agent may be made aware of the communication to avoid asking repeat questions and to quickly and efficiently answer the customer's drugstore-related inquiry.

Abstract: Systems and methods are described for transmitting a plurality of push-based communications associated with products moving geographically. In various aspects, an application programming interface (API) endpoint server having a push-based API, the push-based API associated with a webhook provided to a delivery service server, may receive via a webhook-push following an update to a delivery status state of a delivery event. The webhook-push includes information associated with the delivery event. A short message service (SMS) webpage server may generate a description of the update to the delivery status state. The SMS webpage server may be further configured to generate an SMS-based webpage including an image of an operator of a mobile delivery vehicle. An SMS delivery component may transmit a communication including the description of the update to a client device associated with the delivery event.

Abstract: Systems and methods are described for transmitting a plurality of push-based communications associated with products moving geographically. In various aspects, an application programming interface (API) endpoint server having a push-based API, the push-based API associated with a webhook provided to a delivery service server, may receive via the webhook a webhook-push following an update to a delivery status state of a delivery event. A short message service (SMS) webpage server may generate a description of the update to the delivery status state. The SMS webpage server may be further configured to generate an SMS-based webpage and the description of the update to the delivery status state may include the URL of the SMS-based webpage. An SMS delivery component may transmit a communication including the description of the update to a client device associated with the delivery event.

Abstract: Systems and methods are described for transmitting a plurality of push-based communications associated with products moving geographically. In various aspects, an application programming interface (API) endpoint server having a push-based API, the push-based API associated with a webhook provided to a delivery service server, may receive via the webhook a webhook-push following an update to a delivery status state of a delivery event. A short message service (SMS) webpage server may generate a description of the update to the delivery status state. The SMS webpage server may be further configured to generate an SMS-based webpage and the description of the update to the delivery status state may include the URL of the SMS-based webpage. An SMS delivery component may transmit a communication including the description of the update to a client device associated with the delivery event.