Abstract: A computerized-method for gauging agent's self-assessment effectiveness, is provided herein. The computerized-method includes for each interaction (i) operating a Self-assessment Consolidation module to calculate a confidence-interval for each data-point of one or more preconfigured data-points, and (ii) operating a Self-assessment Divergence Determinant (SDD) module. The operating of the SDD includes: retrieving one or more data-points of the interaction; for each data-point retrieving the confidence interval; setting a divergence-indicator as zero, when the data point is within the confidence-interval; setting the divergence-indicator as a subtraction of the data point from the calculated lower-bound, when the data-point is lower than the lower-bound of the confidence-interval; and setting the divergence-indicator as a subtraction of the calculated upper-bound from the data-point, when the data-point is greater than the upper-bound of the confidence-interval.

Abstract: A computerized-method for authorizing time-off for a skill to increase agents digital availability is provided herein. The computerized-method includes receiving an agent skill-based time-off request having one or more skills and a duration from a User Interface (UI) in a computerized-device of an agent, and for each skill of the one or more skills in the agent skill-based time-off request: (a) operating an agent-skill-based time-off module to calculate au agent time-off eligibility-quotient.

Abstract: A computerized system and method may analyze data representing remotely connected computer systems, which may be for example used by agents as part of their activity and/or routine within a given system or organization, to assess and/or quantify critical factors that may impact the output and/or efficiency for a given agent or a plurality of agents within the system or organization. In a computerized-system comprising one or more processors, and a memory including a data store of agents' data and metrics, embodiments of the invention may collect a plurality of data streams, which may include call and/or chat data and/or metadata; store the data streams in an appropriate database; periodically extract parts of the stored data from the database, and calculate effectiveness scores based on the extracted data; and transmit the calculated scores to potential data utilizers and/or target applications, to be presented via a user interface thereof.

Abstract: Agent credibility systems and methods, and non-transitory computer readable media, include receiving a recorded interaction between a customer and a contact center agent; retrieving or determining a credibility divergence determinant (CDD) score of the contact center agent, wherein the CDD score is based on values of a plurality of credibility assessment factors for a time interval that are stored in a historical agent database, and wherein the lower the CDD score, the higher a credibility of the contact center agent; filtering out the recorded interaction when the CDD score is less than or equal to a defined threshold; and providing the recorded interaction to a supervisor of the contact center agent or a quality management application when the CDD score is greater than the defined threshold.

Abstract: There is thus provided a computerized-method for calculating a Repeated-Information-Request (RIR) score of an interaction in a contact center, by which a related interaction-recording is filtered for evaluation. The computerized-method is operating in a computerized-system which includes a processor, a data-storage and a memory to store the data-storage. The processor is operating a RIR score calculation module. The operating of the RIR score calculation module includes: (i) retrieving from the data-storage an interaction-recording and an interaction-recording-length thereof; (ii) operating a module on the retrieved interaction-recording to count a number of requests to repeat information; (iii) calculating a RIR score according to the number of requests to repeat information and the interaction-recording-length; and (iv) storing the RIR score of the retrieved interaction-recording in the data-storage.

Abstract: A computerized-method for redirecting inbound-voice-interactions to digital channels in a contact center, is provided herein. The computerized-method includes: (i) operating a digital-qualifier module to determine a digital-medium-transition-quotient, of an inbound-voice-interaction of a customer in an inbound-queue. The digital-medium-transition-quotient is an indication of a level of suitability of a digital-communication-channel to resolve a customer issue; (ii) operating an interaction-redirection module to determine a digital-communication-channel for redirection of the inbound-voice-interaction, based on customer-preference and the determined digital-medium-transition-quotient; and (iii) forwarding the inbound-voice-interaction and the determined digital-communication-channel to an Automatic Call Distribution (ACD) system to be carried-out by an agent via the determined digital-communication-channel when the determined digital-medium-transition-quotient is above a preconfigured threshold.

Abstract: A computerized-method using a cloud-based computing environment for improving client service, in a contact center is provided herein. The computerized-method includes: retrieving a context of a query and a time-limit from a CTI event and attempting to retrieve data to evaluate average resolution time for the received context. When the data is found, comparing the evaluated average resolution time with the received time-limit and when the received time-limit is below the evaluated average resolution time, sending a delay notice and providing the client a menu of options for querying through other channels. When the data is not found, or when the received time-limit is above the evaluated average resolution time, presenting on an agent dashboard, the time-limit of the client and accordingly updating parameters in the agent dashboard during the inbound call, thus, improving client service, by considering the time-limit of the client before the agent addresses a query.

Abstract: A computerized-method for improving queries operation in a multichannel contact center is provided herein. The computerized-method includes: (i) operating a stream processing application for each new query of a customer to store query-related data and to identify one or more queries of the customer in a cloud-contact data store. The cloud-contact data store may have one or more interactions-queue types, when one or more queries have been identified: (a) operating a repetition module on the identified one or more queries of the customer to filter out two or more queries having a common query-topic; (b) operating a Natural Language Understanding (NLU) module on the filtered two or more queries having a common topic to identify two or more identical queries. Each query of the identified two or more identical queries have a unique query identification number; and (c) handling the two or more identical.

Abstract: A computerized-method for prioritizing agents for working from office via a WFM application, in a hybrid-contact-center work environment. The computerized-method includes: when creating a schedule for a period via the WFM application: getting skills for each day in the schedule, each skill having an associated priority; and allocating agents for each skill in descending order of priority associated to the skill by: for each skill that requires agents to work from office: getting forecast agents count for the skill; and allocating agents to office location based on office capacity and a calculated Agent Work From Office (AWFO) score in ascending order and Agent Health (AH) score greater than ‘0’ until office capacity is full or agent requirements for the skill are fulfilled; when the agents count for the skill is not fulfilled, allocating agents to work from home based on an associated Agent Home Productivity (AHP) score in descending order.

Abstract: A method and system for data synchronization in a multi-tenant data synchronization system is provided.

Abstract: A computerized-method for reducing wait-time in a multichannel-contact-center. For each query that is not resolved by a bot: a. selecting a digital-channel-type from a plurality of digital-channel-types; b. operating an aggregator module on the selected digital-channel-type to aggregate the received query and similar pending queries into a group-of-queries; c. operating a tracker-module on the group-of-queries to identify a query-resolution and to send a notification as to the query-resolution to the customer via the digital-channel-type that the query has been received; and d. repeating operations a.-c. until a query-resolution has been identified or all digital-channel-types in the plurality of digital-channel-types have been selected.

Abstract: Embodiments described herein provide an optimal communication channel recommendation engine by assessing whether the environment the customer is situated in is conducive to the channel selected by the customer. Specifically, the optimal channel recommendation engine obtains data artifacts indicative of ambient noise, motion, customer sentiment, network quality, customer focus, and/or the like to assess quality of the environment and recommend an optimal channel for the communication between the customer and the call agent. With the recommendation to switch to a different channel, the client component resumes communication with the new channel and retains the context of the interaction.

Abstract: A computerized-method for determining an agent-proficiency when addressing concurrent customer sessions via one or more channel types and utilization thereof is provided herein. The computerized-method includes operating a Concurrent-Sessions-Handling-Agent-Proficiency (CSHAP) module.

Abstract: A computerized-method for identifying nonadherence to contact-center practice rules is provided herein. The computerized-method includes operating a data-analyzer module. The said data-analyzer module includes: (i) retrieving a set of rules; (ii) monitoring activities of each user via one or more product-applications by receiving a stream of data related to the activities from the one or more applications. The stream of data may include details of the monitored activities; (iii) comparing details of the monitored activities with each rule in the set of rules to identify one or more activities that are breaching a rule from the set of rules; (iv) for each activity of a related-user from the identified one or more activities: (a) notifying the related-user about a guideline-breaching via a computerized-device of the related-user; and (b) updating the data store of exceptions with the details of the activity that breached the rule from the set of rules.

Abstract: A computerized-method for prioritizing agents for working from office, in a hybrid contact center work environment, is provided herein. The computerized-method includes operating an Agent Work From Office (AWFO) Prioritization Analytics module. The AWFO Prioritization Analytics module includes: (i) for each agent in the data store of agents’ metrics calculating an Agent Health (AH) score; (ii) when the AH score is ‘1’ then (a) calculating: (a.i) Agent Home Productivity (AHP) score; (a.ii) Agent Skills Prioritization (ASP) score; and (a.iii) agent’s preferences to work from office indicator; (b) determining an A WFO score based on the AHP score, the ASP score and the agent’s preferences to work from office indicator; and (c) sending the determined A WFO score to a Workforce Management (WFM) application to be presented via a User Interface (UI) thereof.

Abstract: A computerized-method for prioritizing agents for working-from-office, in a hybrid contact-center work-environment, is provided herein. The computerized-method includes operating an Agent-Work-From-Office (AWFO) Prioritization Analytics module.

Abstract: A computerized-method for calculating an After-Call-Work (ACW) factor of an interaction in a contact center, by which a related recording may be filtered for evaluation is provided herein. The method includes an After-Call-Work (ACW) factor calculation module. The operating of the ACW factor calculation module includes: (i) receiving agent recording of the interaction. (ii) aggregating data fields associated with: (a) the interaction; and (b) the customer; (iii) retrieving ACW time of the interaction; (iv) forwarding the aggregated data fields to a machine learning model; (v) operating the machine learning model to calculate a predicted ACW time, based on the aggregated data fields; (vi) calculating an ACW factor based on the received time of ACW and the calculated predicted ACW time; and (vii) sending the calculated ACW factor to a platform by which the platform is preconfigured to distribute the interaction for evaluation, based on the ACW factor.

Abstract: A computerized-method for enhancing customers satisfaction by assigning abandoned inbound-interactions to agents each on a satisfactory-digital-channel type. The computerized-method may include operating an Abandoned-Interactions-Input-Utilization (AIIU) module. The AIIU-module may include: (a) operating an accumulator-module to: (i) retrieve abandoned inbound-interactions from the data store of abandoned inbound-interactions and (ii) forward details of the abandoned inbound-interactions to an analyzer-module; (b) for each abandoned inbound-interaction of the abandoned inbound-interactions, a. operating the analyzer-module on the forwarded details of abandoned inbound-interactions to: (i) extract query context and metadata; and (ii) identify a satisfactory-digital-channel type; b.

Abstract: A computerized-method for reducing wait-time in a multichannel-contact-center is provided herein. For each query that is not resolved by a hot, operating a Channel-Agnostic-Queuing (CAQ) module. The CAQ-module includes: a. selecting a digital-channel-type in a predetermined order; b. operating an aggregator module on the selected digital-channel-type to: (i) identify similar pending queries in a queue-database related to the digital-channel-type: and (ii) aggregate the received query and the identified similar pending queries into a group-of-queries; c. operating a tracker-module on the group-of-queries to identify a query-resolution and to send a notification as to the query-resolution to the customer and to related customers of the identified similar pending queries; and d. when a total-parking-period of the plurality of digital-channel-types is lower than an expected wait-time of the received query and the received query hasn't been resolved, repeating operations a.-c.

Abstract: Assigning an appropriate channel in an omni-channel contact center environment includes receiving, by a computer of the contact center, an incoming contact via a first communication channel, the incoming contact assignable to a plurality of available communication channels; queuing, by the computer, the incoming contact in a first queue associated with the first communication channel; determining, by the computer, a preferable communication channel from among the plurality of communication channels and the first communication channel; and when the preferable communication channel is one of the plurality of communication channels, determining whether to assign the incoming contact to the preferable communication channel.