Abstract:
A system and method for managing a customer's experience with a contact center that takes available data about the customer, the agents of the contact center, and the organization represented by the contact center, for identifying opportunities for additional conversations/interactions with the customer and engaging in those additional conversations/interactions at a time and with a resource predicted to maximize outcomes for the organization. A processor is configured to identify express and/or implied intents for an interaction between the customer and the contact center. A business goal related to the express and/or implied intents is also identified for determining a current performance of the contact center and for identifying any performance gaps. Contact center targets are identified based on their performance in handling the express and/or implied intents, and the identified performance gaps. An available one of the identified targets is then selected for routing the interaction to the target.
Abstract:
A method for managing customer interactions includes: receiving first proximity information relating to a proximity between an electronic communication device carried by a customer and a first proximity device located in a first location of a physical establishment associated with a customer contact center; creating an interaction object including data corresponding to the first proximity information; receiving, by the processor, second proximity information relating to a proximity between the electronic communication device and a second proximity device located in a second location; modifying the interaction object to include data corresponding to the second proximity information; storing the interaction object in a first data storage device, wherein data of contact center interactions between the customer and resources of the customer contact center is also stored; and retrieving the stored data of the interaction object and the data of contact center interactions for generating an output based on the retrieved data.
Abstract:
A method includes: receiving, on a processor, data associated with an interaction between a user and a first enterprise; applying, by the processor, a rule of a template based on the data; identifying, by the processor and using the rule of the template, a second enterprise; and transmitting, by the processor, the data to the second enterprise in accordance with the rule.
Abstract:
A system and method for setting agent cross skill enablement levels in a contact center. In one embodiment, a series of simulations is performed to determine optimum cross skill enablement levels for various circumstances, e.g., the number of agents, the proficiency of each agent at each of a number of skills, and the rates of incoming interaction requests requiring each of various skills. A lookup table is created which is subsequently used, during configuration of the contact center prior to operation, or in real time during operation, to adjust agent cross skill enablement levels.
Abstract:
Systems and methods are shown for routing task objects to multiple agents that involve receiving and storing real-time sensor data for multiple agents, receiving tasks and, for each task, create a task object representing the task and placing the task object in an input buffer. For each task object in the input buffer, utilize the real-time sensor data to identify one or more of the multiple agents as suitable for assignment to the task, apply a routing strategy to the task object to further select one of the multiple agents identified as suitable for assignment of the task object based on sensor data, and route the task object from the input buffer to a workbin corresponding to the selected agent.
Abstract:
A system and method for setting agent cross skill enablement levels in a contact center. In one embodiment, a series of simulations is performed to determine optimum cross skill enablement levels for various circumstances, e.g., the number of agents, the proficiency of each agent at each of a number of skills, and the rates of incoming interaction requests requiring each of various skills. A lookup table is created which is subsequently used, during configuration of the contact center prior to operation, or in real time during operation, to adjust agent cross skill enablement levels.
Abstract:
A method for managing customer interactions includes: receiving first proximity information relating to a proximity between an electronic communication device carried by a customer and a first proximity device located in a first location of a physical establishment associated with a customer contact center; creating an interaction object including data corresponding to the first proximity information; receiving, by the processor, second proximity information relating to a proximity between the electronic communication device and a second proximity device located in a second location; modifying the interaction object to include data corresponding to the second proximity information; storing the interaction object in a first data storage device, wherein data of contact center interactions between the customer and resources of the customer contact center is also stored; and retrieving the stored data of the interaction object and the data of contact center interactions for generating an output based on the retrieved data.
Abstract:
A system and method for managing interactions of a customer contact center. A contact center processor receives a request to reserve a contact center resource for handling an interaction. The processor also receives data about the interaction. The processor identifies a routing point for routing the interaction based on the received data. The routing point is associated with routing logic controlled by a customer instead of the contact center. The processor routes the interaction to the identified routing point for giving the customer control of the routing of the interaction.
Abstract:
A system and method for managing a customer's experience with a contact center that takes available data about the customer, the agents of the contact center, and the organization represented by the contact center, for identifying opportunities for additional conversations/interactions with the customer and engaging in those additional conversations/interactions at a time and with a resource predicted to maximize outcomes for the organization. A processor is configured to identify express and/or implied intents for an interaction between the customer and the contact center. A business goal related to the express and/or implied intents is also identified for determining a current performance of the contact center and for identifying any performance gaps. Contact center targets are identified based on their performance in handling the express and/or implied intents, and the identified performance gaps. An available one of the identified targets is then selected for routing the interaction to the target.
Abstract:
Systems and methods are shown for routing task objects to multiple agents that involve receiving and storing real-time sensor data for multiple agents, receiving tasks and, for each task, create a task object representing the task and placing the task object in an input buffer. For each task object in the input buffer, utilize the real-time sensor data to identify one or more of the multiple agents as suitable for assignment to the task, apply a routing strategy to the task object to further select one of the multiple agents identified as suitable for assignment of the task object based on sensor data, and route the task object from the input buffer to a workbin corresponding to the selected agent.