Abstract:
The journeys and/or timelines of multiple customers may be used in escalation management and/or journey mining. An event of interest, pertaining to an issue or an incident, on a timeline may be used in the escalation management and/or journey mining. Escalation management is directed to addressing and resolving incidents, problems, and customer situations which could result in a high level of customer dissatisfaction or damage to a service provider's reputation, using the appropriate response and/or resources. Journey mining is directed to using patterns across customers and their journeys to determine where things in the journey went differently than what was expected.
Abstract:
A method for transforming a first data display into a second data display according to one embodiment includes presenting the first data display on a graphical user interface element of a user device; modifying the graphical user interface element of the user device in response to receiving a user input; analyzing data display criteria comprising at least one of user device parameters, administrator parameters, user parameters, and data parameters; transforming the first data display into the second data display based on the data display criteria and the modified graphical user interface element of the user device, wherein the first data display is different from the second data display; and presenting the second data display on the modified graphical user interface element of the user device.
Abstract:
A system and method are presented for omni-channel notification and selection. A first party selects a first channel from a plurality of channels based on an estimated wait time for interaction with another party in a contact center or enterprise setting. The plurality of channels may comprise any means of interaction, such as chat, phone call, SMS, video, etc. While waiting in queue for the preferred first channel, the first party is presented with estimated wait times, which are dynamically updated, for other channels. Based on the first party's preferences and the presented estimated wait times for the other channels, the first party may elect to change interaction channels from the first channel to a second channel. The first party may then be moved to a different queue corresponding to the second interaction channel.
Abstract:
A method for automating interactions with enterprises includes: receiving, through a user interface, a natural language request from a customer; determining a customer intent from the natural language request; conducting an automated interaction by: determining, by a personal bot controller circuit, an enterprise to service the customer intent; loading an enterprise library for interacting with an application programming interface (API) of the enterprise, the enterprise library including one or more library functions; identifying a library function for servicing the customer intent from among the one or more library functions; generating a request based on the identified library function and the customer intent; transmitting the generated request to the enterprise to initiate an interaction; receiving a response from the enterprise; and notifying the customer of a result of the interaction.
Abstract:
A method for configuring a topic-specific chatbot comprising: clustering a plurality of transcripts of interactions between customers and agents of a contact center of an enterprise to generate a plurality of clusters of interactions, each cluster of interactions corresponding to a topic, each of the interactions including agent phrases and customer phrases; for each cluster of the plurality of clusters of interactions: extracting a topic-specific dialogue tree for the cluster; pruning the topic-specific dialogue tree to generate a deterministic dialogue tree; and configuring a topic-specific chatbot in accordance with the deterministic dialogue tree; and outputting the one or more topic-specific chatbots, each of the topic-specific chatbots being configured to generate, automatically, responses to messages regarding the topic of the topic-specific chatbot from a customer in an interaction between the customer and the enterprise.
Abstract:
A contact center system for switching a communication event from one communication medium to another in a contact center, the system includes: a processor; and memory, wherein the memory has stored therein instructions that, when executed by the processor, cause the processor to: receive a first interaction request via a first media channel from an endpoint device; identify a second media channel different from the first media channel; transmit a signal for reserving a resource associated with the second media channel; and transmit a unique identifier associated with the reservation request to the endpoint device for establishing a second interaction request via the second media channel.
Abstract:
Systems and methods are shown for managing call center data in accordance with one or more sets of compliance rules involving receiving data pertaining to an interaction, determining a set of compliance rules relevant to the received data, tagging the received data to identify the relevant set of compliance rules, and utilizing the data tagging, applying the relevant set of compliance rules to handling the received data. Examples also involve receiving an interaction request, obtaining the data tagging for data corresponding to the received interaction request, using the data tagging for the data corresponding to the received interaction request to obtain the corresponding relevant set of compliance rules, using the corresponding set of compliance rules to identify agents eligible to access the data corresponding to the received interaction request, and routing the received interaction request to one of the eligible agents based on a defined routing strategy.
Abstract:
A system includes a contact center to provide an interaction between a customer and agent. A forms manager of the contact center generates a question for an evaluation form. A workforce management server connects with the forms manager, the workforce management server to schedule a work time for the agent. The workforce management server schedule the forms manager to generate the evaluation form when the agent is working.
Abstract:
A method for tracking known topics in a plurality of interactions includes: extracting, by a processor, a plurality of fragments from the plurality of interactions; initializing, by the processor, a collection of tracked topics to an empty collection; computing, by the processor, a similarity between each fragment of the fragments and each of the known topics; and adding, by the processor, a known topic of the known topics to the tracked topics in response to the similarity between a fragment and the known topic exceeding a threshold value.
Abstract:
A method for generating an agent work schedule Includes: analyzing, on. a processor, a plurality of recorded interactions with a plurality of contact center agents to classify the recorded interactions based on a first plurality of interaction reasons and a plurality interaction resolution statuses; analysing, on the processor, the classified recorded interactions to compute agent effectiveness of an agent of the plurality of agents, wherein the agent effectiveness corresponds to an interaction reason of the first interaction reasons; forecasting, on the processor, a demand of the contact center agents for a first time period for handling interactions classified with the interaction reason; and generating, on the processor, the agent work schedule for the first time period based on the forecasted demand and the computed agent effectiveness.