Disclosed embodiments may include a system that may receive an indication that a user is accessing an ATM, receive, from the ATM, average session duration data over a predetermined period, generate, using a machine learning model, a busyness score for the ATM based on the average session duration data over the predetermined period, and determine whether the busyness score for the ATM exceeds a busyness score threshold. When the busyness score for the ATM does not exceed the busyness score threshold, the system may cause the ATM to present, via a first graphical user interface, a default ATM experience. When the busyness score for the ATM exceeds the busyness score threshold, the system may cause the ATM to present via, a second graphical user interface, a busy ATM experience.

Methods to reduce agent effort and improve customer experience quality through artificial intelligence. The Agent Assist tool provides contact centers with an innovative tool designed to reduce agent effort, improve quality and reduce costs by minimizing search and data entry tasks The Agent Assist tool is natively built and fully unified within the agent interface while keeping all data internally protected from third-party sharing.

A system for automatic authentication of service requests includes authentication of a remote access device. This authentication may be accomplished automatically prior to text or audio communication between a customer and a service agent. In some embodiments, authentication is accomplished automatically by authentication of the remote access device or accomplished by asking the customer questions. A single authentication of the remote access device may be used to authenticate a service request transferred between service agents. The authentication of the remote device may include, for example, use of a personal identification number, a fingerprint, a photograph, and/or a hardware identifier. Some embodiments include an intelligent pipeline configured for managing queues of customer service requests.

The distribution of incoming queries to a customer interaction center agent group is parallel processed amongst agents of that group to improve queue wait times. A threshold number of queries that may be processed by agent devices associated with the agent group at a given time are defined based on a number of agents of the agent group that are available at the given time. In response to determining that the number of queries is satisfies the threshold number of queries based on the number of agents that are available at a current time, a number of queries awaiting processing are distributed to one or more agent devices of the agent group. The threshold number of queries may be based on half of the number of agents that are available at the given time.

The number of agents to which incoming queries to a customer interaction center agent group may be distributed is limited based on skip criteria. The skip criteria is defined based on information associated with agent devices, such as locked status of a device, in-memory status of a client application at the device, or whether a telephone number provisioned for use with the device is from an external public switched telephone network. Agents which fail to satisfy the skip criteria are excluded from distributions of queries to improve wait times for customer interaction center users. Thus, queries are distributed from a queue to agents which satisfy the skip criteria.

Machine learning technology can analyze in real-time the data from a call between a person and a customer service representative. Based on this analysis, a server can determine a sentiment score that describes a sentiment expressed by the person or the customer service representative. If the server determines that the sentiment score is less than or equal to a pre-determined value, the server can inform the customer service representative's manager so that the manager can take further action to help the person and/or the customer service representative.

Disclosed is a system for providing contact center services in an integrated way, in which a client can receive query processing services by immediately connecting to at least one of other contact center servers operated by service providers cooperating in a link service by a call transfer without changing a preexisting connection state while being initially connected to a specific contact center server, so that a user can use a plurality of query processing services without difficulties by linking the contact center servers operated by the plurality of service providers, thereby minimizing the time, efforts and costs of the user who wants to receive the plurality of query processing services through the plurality of service providers.

A method for providing anonymized contact information to a workforce management system includes receiving contact information from a plurality of customer business units; assigning each of the plurality of customer business units one or more industry classification codes or product classification codes; anonymizing, by a processor, the contact information to the one or more industry classification codes or product classification codes; receiving, by a processor, a query from a workforce management system for anonymized contact information in one or more industry classification codes or product classification codes; and providing the anonymized contact information to the workforce management system for use in a workforce management predictive model.

The present disclosure can include a system, method, or platform for automated call management utilizing a switch capable being utilized with signals from a communication device. The switch interfaces with an artificial intelligence engine that provides contextual interactions to the switch. One or more databases of playback assets may be utilized to send the playback messages to the communications device. Middleware may provide analysis of data coming into the switch along with a call engine for configuring one or more calls made through the switch. Each call can include a call detail record (CDR) which is updateable with information regarding the calls.

The distribution of incoming queries to a customer interaction center agent group is parallel processed amongst agents of that group to improve queue wait times. A threshold number of queries that may be processed by agent devices associated with the agent group at a given time are defined based on a number of agents of the agent group that are available at the given time. In response to determining that the number of queries is satisfies the threshold number of queries based on the number of agents that are available at a current time, a number of queries awaiting processing are distributed to one or more agent devices of the agent group. The threshold number of queries may be based on half of the number of agents that are available at the given time.