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.

Systems and methods of instant-messaging bot for robotic process automation (RPA) and robotic textual-content extraction from digital images include a chatbot application, a software RPA manager, and an instant-messaging (IM) platform, all built for an enterprise. The enterprise IM platform is connected to one or more public IM platforms over the Internet. The RPA manager contains multiple modules of enterprise workflows and receives instructions from the enterprise chatbot for executing individual workflows. The system allows enterprise users connected to the enterprise IM platform, and external users connected to the public IM platforms, to use instant messaging to initiate enterprise workflows that are automated with the help of the enterprise chatbot and delivered via instant messaging. Furthermore, textual-content extraction from digital images is incorporated in the RPA manager as an enterprise workflow, and provides improved convolutional neural network (CNN) methods for textual-content extraction.

An electronic device is disclosed. The electronic device includes a memory and a processor. The electronic device may execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm, and perform communications with other electronic devices in a 5G communication network. Accordingly, user convenience can be significantly improved.

Systems and methods for processing email messages are described. A method may include obtaining, from a database associated with the database system, data identifying a plurality of email messages for a plurality of email senders, the email messages associated with one or more sales cadences and an email service; enqueuing, by the server computing system, data identifying one or more email messages of the plurality of email messages into a queue provided that no data identifying two email messages associated with a first email sender are in the queue concurrently; and dequeuing, by the server computing system, the data identifying the one or more email messages from the queue, each dequeued data identifying an email message to be processed by the email service, wherein said enqueuing is performed provided that no dequeued data identifying two email messages associated with a second email sender are concurrently waiting to be processed by the email service.

In some implementations, a system may receive a record associated with an operation of the terminal. The system may determine that the operation is associated with a service involving a user of the terminal. The system may determine, based on the service and from location information in the record, a location of the terminal. The system may determine that an agent device is available in association with providing the service for the user, wherein the agent device is determined to be available based on a status of an application session of the agent device. The system may perform an action associated with the application session to enable the agent device to facilitate performance of the service for the user.

Aspects described herein use real time transaction data to notify customers when they have forgotten to purchase an item at a merchant location. A first computing device may receive one or more items that are added to an electronic list of items to purchase, whether at merchant location or multiple locations. A second computing device operated by a financial institution entity may receive transaction data representative of a purchase of at least one item at a merchant location. The transaction data may comprise item level data representative of a specific item to purchase. Based on the transaction data, the second computing device may determine whether the specific item on the electronic list was purchased at the merchant location. When determining that the item was not purchased at the merchant location, the second computing device may determine whether the merchant location sells the specific item and when determining that the merchant location sells the item, a notification may be sent to a user that the specific item was not purchased.

A method is provided. The method comprises: obtaining, from a data source computing system and by a data filter analytics computing system, event information associated with one or more events; determining, by the data filter analytics computing system, a dynamic data filter for the event information; generating, by the data filter analytics computing system, customer information based on filtering the event information using the dynamic data filter; and causing, by the data filter analytics computing system, display of the customer information on a user device, wherein the customer information comprises a configurable graphical representation of the customer information.

Recently, there has been a demand for further improvement of accuracy of analysis. A system is provided that includes an acquisition unit that acquires call data which is a record of a call between a client and a contact center, a sound recognition unit that performs sound recognition on the call data by using a keyword registered in dictionary data, an analysis unit that performs analysis using a keyword included in a result of the sound recognition, and a registration unit that registers in the dictionary data, a keyword included in a product information database among a plurality of the keywords included in the result of the sound recognition, the product information database storing product information about each of a plurality of products.

Systems and methods for enhancing customer service are disclosed. The system can perform operations including detecting individuals and performing facial recognition on the individuals using visitor profiles stored by a local database. The operations can further include determining known visitors and unknown visitors among the individuals. The operations can further include generating new visitor profiles for the unknown visitors, obtaining identity information for the unknown visitors, and associating the identity information of the unknown visitors with the new visitor profiles. The operations can further include accessing identify information of the known visitors, obtaining personalized information for the known visitors from a central database, and providing the personalized information to the known visitors. The operations can further include updating the existing visitor profiles and new visitor profiles based on actions of the known visitors and actions of the unknown visitors and providing the updated visitor profiles to the central database.

Systems and methods for customizing business applications based upon user intent scores is described. A machine learning model trained to specifically predict when a user is likely to engage in a specific activity while interacting with the business application may be trained using data regarding prior interactions between a business application and a plurality of users. The machine learning model may thereafter provide a probability score for a particular user, the probability score indicating the likelihood that the user will engage in the specific activity for which the model has been trained to predict. The probability may be combined with a business value factor to produce a user intent score indicating the relative value of the user engaging in the specific activity. A business application comprising an app executing on a client device, a webpage, an automated menu at a call-in service center, or human operator interacting with the user at a call in the service center may be customized for the particular user based upon the user intent scores.