Abstract: The methods, apparatuses, and systems described herein are designed to analyze comments provided by a coach relating to an agent's interaction with a customer. The methods include receiving a coaching comment regarding an agent's interaction with a customer, applying at least one scoring algorithm to the comment, and outputting a score of the scoring algorithm.

Abstract: A method for assessing at least one condition of a plant material is provided. The method may include providing a spectral image, normalizing the spectral image to generate a normalized spectral image, processing the normalized spectral image to generate at least one processed spectral image, providing a palette file, and generating a displayable false color image from the at least one processed spectral image and the palette file. The method may include capturing a multi-spectral image of the plant material with a multi-spectral imager. The plant material may be a portion of a cannabis plant and the condition may be one of, or relating to, health. A non-transitory computer readable storage medium storing a computer program for performing the method is also provided.

Abstract: A method for assessing at least one condition of a plant material is provided. The method may include providing a spectral image, normalizing the spectral image to generate a normalized spectral image, processing the normalized spectral image to generate at least one processed spectral image, providing a palette file, and generating a displayable false color image from the at least one processed spectral image and the palette file. The method may include capturing a multi-spectral image of the plant material with a multi-spectral imager. The plant material may be a portion of a cannabis plant and the condition may be one of, or relating to, health. A non-transitory computer readable storage medium storing a computer program for performing the method is also provided.

Abstract: The methods, apparatus, and systems described herein are designed to route customer communications to the best agent or best available agent. The methods include identifying origination data for a customer contacting a contact center with a customer task, determining a predicted personality type of the customer based on the identified origination data and a customer profile, providing a routing recommendation to a communication distributor to route the customer to an agent based on the predicted personality type of the customer and historical customer data, routing the customer via the communication distributor to the agent based on the routing recommendation, and updating the customer profile.

Abstract: The methods, apparatus, and systems described herein relate to routing based on customer satisfaction, and include receiving a communication from a customer; retrieving or predicting a first profile of the customer; returning a list of currently available agents and expected available agents, wherein the currently available agents exclude agents that exceed a predetermined work threshold; determining, for each currently available agent and each expected available agent, a proficiency score for handling a customer with the first profile; determining that an expected available agent has a higher proficiency score than a currently available agent; and providing a routing recommendation based on the determined higher proficiency score that will route the customer communication via a communication distributor to the expected available agent.

Abstract: The methods, apparatus, and systems described herein are designed to route customer communications to the best agent or best available agent. The methods include identifying origination data for a customer contacting a contact center with a customer task, determining a predicted personality type of the customer based on the identified origination data and a customer profile, providing a routing recommendation to a communication distributor to route the customer to an agent based on the predicted personality type of the customer and historical customer data, routing the customer via the communication distributor to the agent based on the routing recommendation, and updating the customer profile.

Abstract: The methods, apparatus, and systems described herein relate to routing based on customer satisfaction, and include receiving a communication from a customer; retrieving or predicting a first profile of the customer; returning a list of currently available agents and expected available agents, wherein the currently available agents exclude agents that exceed a predetermined work threshold; determining, for each currently available agent and each expected available agent, a proficiency score for handling a customer with the first profile; determining that an expected available agent has a higher proficiency score than a currently available agent; and providing a routing recommendation based on the determined higher proficiency score that will route the customer communication via a communication distributor to the expected available agent.

Abstract: The methods, apparatus, and systems described herein are designed to route customer communications to the best agent or best available agent. The methods include receiving a customer communication, predicting a demographic profile of the customer associated with the customer communication, monitoring real-time agent performance data and modifying a predetermined work threshold based on the real-time agent performance data, and providing a routing recommendation to route the customer to an agent based on the prediction and historical customer data for agents who have not exceeded the predetermined work threshold.

Abstract: The methods, apparatus, and systems described herein relate to routing based on customer satisfaction, and include receiving the customer communication; retrieving or predicting a first profile of a customer associated with a customer communication, wherein the retrieved or predicted profile includes a customer satisfaction score; predicting a second profile of a future customer; providing a list of currently available and expected available agents, wherein the currently available agents are selected by including only agents that exceed a predetermined work threshold based on an average customer satisfaction score determined over a selected time period; providing a routing recommendation to a communication distributor based on the retrieved or predicted first profile, the predicted second profile, and currently available agents' and expected available agents' proficiency at handling customers with the retrieved or predicted first and second profiles, wherein the communication distributor routes the communicat

Abstract: The methods, apparatus, and systems described herein relate to routing based on customer satisfaction, and include receiving the customer communication; retrieving or predicting a first profile of a customer associated with a customer communication, wherein the retrieved or predicted profile includes a customer satisfaction score; predicting a second profile of a future customer; providing a list of currently available and expected available agents, wherein the currently available agents are selected by including only agents that exceed a predetermined work threshold based on an average customer satisfaction score determined over a selected time period; providing a routing recommendation to a communication distributor based on the retrieved or predicted first profile, the predicted second profile, and currently available agents' and expected available agents' proficiency at handling customers with the retrieved or predicted first and second profiles, wherein the communication distributor routes the communicat

Abstract: The methods, apparatus, and systems described herein facilitate dynamic occupancy routing decisions.

Abstract: The methods, apparatus, and systems described herein are designed to route customer communications to the best agent or best available agent. The methods include receiving a customer communication, predicting a demographic profile of the customer associated with the customer communication, monitoring real-time agent performance data and modifying a predetermined work threshold based on the real-time agent performance data, and providing a routing recommendation to route the customer to an agent based on the prediction and historical customer data for agents who have not exceeded the predetermined work threshold.

Abstract: The methods, apparatus, and systems described herein are designed to route customer communications to the best agent or best available agent. The methods include receiving a customer communication, predicting a demographic profile of the customer associated with the customer communication, and providing a routing recommendation to route the customer to an agent based on the prediction and historical customer data.

Abstract: The methods, apparatus, and systems described herein facilitate dynamic occupancy routing decisions.

Abstract: The methods, apparatus, and systems described herein facilitate optimizing routing decisions. The methods include retrieving and/or predicting a profile of a current customer and future customers, determining which agents are currently available and which agents are expected to be available, and providing a routing recommendation based on the profile retrieval or prediction for the current customer and the future customers, and the currently available agents' and expected available agents' proficiency at handling customers with the retrieved and/or predicted profiles.

Abstract: The methods, apparatus, and systems described herein are designed to route customer communications to the best agent or best available agent. The methods include receiving a customer communication, predicting a demographic profile of the customer associated with the customer communication, and providing a routing recommendation to route the customer to an agent based on the prediction and historical customer data.

Abstract: The methods, apparatus, and systems described herein facilitate optimizing routing decisions. The methods include retrieving and/or predicting a profile of a current customer and future customers, determining which agents are currently available and which agents are expected to be available, and providing a routing recommendation based on the profile retrieval or prediction for the current customer and the future customers, and the currently available agents' and expected available agents' proficiency at handling customers with the retrieved and/or predicted profiles.

Abstract: The methods, apparatus, and systems described herein are designed to route customer communications to the best agent or best available agent. The methods include receiving a customer communication, predicting a personality type of the customer associated with the customer communication, and providing a routing recommendation to route the customer to an agent based on the personality type prediction and historical customer data.

Abstract: The methods, apparatus, and systems described herein are designed to route customer communications to the best available agent. The methods include predicting a personality type of the customer, determining the occupancy level of agents to provide a list of available agents, providing a routing recommendation based on the predicted personality type of the customer and agent data such as proficiency in handling customers with the predicted personality type, and/or analyzing real-time customer-agent interactions.

Abstract: The methods, apparatus, and systems described herein facilitate optimizing routing decisions. The methods include retrieving and/or predicting a profile of a current customer and future customers, determining which agents are currently available and which agents are expected to be available, and providing a routing recommendation based on the profile retrieval or prediction for the current customer and the future customers, and the currently available agents' and expected available agents' proficiency at handling customers with the retrieved and/or predicted profiles.