A method, medium, and apparatus for allowing evaluation of property, such as damaged property, remotely and efficiently. A mobile computing device may be used to conduct bilateral communication between a client and an agent for evaluating property. The communications may comprise methods and systems for reconnecting using login-free connections, and may further comprise methods and systems for determining that wait times exceed a threshold wait time and presenting the client an option to receive a call back.

A computer server system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to receive, via the communications module and from a first device, a signal including a request to schedule access to a shared resource within a time window; identify, based on a load projection for the shared resource, at least one time period within the time window for the access to the shared resource; send, via the communications module and to the first device, a signal including the at least one time period and requesting confirmation that a particular one of the at least one time period is acceptable; receive, via the communications module and from the first device, a signal including confirmation that the particular one of the at least one time period is acceptable; determine that a current time has reached the particular one of the at least one time period; and responsive to determining that the current time has reached the particular one of the at least one time period, provide access to a node of the shared resource, the node having available bandwidth.

A predictive dialer in a call center may originate a number of outbound calls on behalf of agents for an outbound call campaign. Since many calls may fail to connect with the right party, the predictive dialer may originate several contemporaneous calls in order to provide a single call to an available agent. A pacing algorithm in the predictive dialer determines how many calls are to be made based on various factors, conditions, and rules. In some instances, the predictive dialer may attempt to originate more calls than there are available trunks. In such instances, the number of originated calls is limited by the number of available trunks causing a trunk-related deficiency condition, which can adversely impact the agents' performance. Various embodiments of the invention detect such conditions and address them to attempt to minimize current and future trunk-related deficiency conditions.

A system for contact information integration with search results, comprising a queue manager; an enterprise communications system; and a search engine. Upon receipt of search query from a user, the search engine submits a request to the queue manager. The queue manager: obtains from the enterprise communications system a communications status comprising an estimated wait time; sends a notification to the search engine advising the search engine of the estimated wait time for service; and upon receiving from the search engine a request to generate a callback to the user from the enterprise of a specific communications type, directing an enterprise communications system of the enterprise that is associated with the specific communications type to initiate a callback to the user from whom the search engine query was received in response to the callback request received from the search engine.

Systems and methods of processing data associated with a communication session are described. Systems and methods include generating an urgency score associated with data associated with a communication session based on processing the data and using the urgency score to modify a behavior of a bot or a call center agent and optimize a contact center. Systems and methods include modifying behavior of a bot or an agent during the communication session in response to the data. Systems and methods include modifying dialog of a bot, or a script of an agent, and modifying a control flow for the communication session. Optimizing a contact center includes adjusting a workload of an agent associated with the communication session.

Techniques for error handling in a task assignment system with an external pairing system are disclosed. In one particular embodiment, the techniques may be realized as a method for error handling in a task assignment system with an external pairing system comprising transmitting a request for the external pairing system to select a first pairing between one or more tasks awaiting assignment and one or more agents available for assignment, the first pairing to be selected according to a first pairing strategy; determining a timeout window to wait for the external pairing system to provide a response that identifies the first pairing; detecting an expiration of the timeout window without receiving the response; and, in response to detecting the expiration of the timeout window, selecting a second pairing between the one or more tasks and the one or more agents, the second pairing being selected according to a second pairing strategy.

Systems, methods, and computer program products provide a digital twin of a call center or call center network, including the members, representatives, and algorithms therein. The digital twin can be used to model real-world call centers and call center networks or may be modified to test changes (in the center/network's control such as algorithms or representative staffing, or beyond the center network's controls such as callers) before they are implemented in real-world production environments. Call loads, which may be based on real call loads or generated differently, can be used to test current or contemplated call center/network arrangements. The digital twin can be validated through comparison with data received from the real-world call center(s)/network(s) it models.

A system includes a processor and a memory. The memory stores instructions, which when executed by the processor, causes the processor to receive a request for an interaction with an agent device. The processor determines a patience time threshold for the customer in response to the request for an interaction. The processor suggests to return to the interaction at a time based on the patience time threshold, and performs the return interaction by the agent device based on the determination.

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.

A system is provided and generally includes a server, an associate computing device, and a customer computing device. The server may receive data from the customer computing device indicating that a customer is picking up items from a predetermined location. The server may compute an estimated wait time for the customer based on one or more machine learning processes. In some examples, a number of unexpected customers that may arrive is determined. The machine learning process may compute the estimated wait time based on the number of unexpected customers. The machine learning process may be trained with historical data. The estimated wait time is transmitted to the customer computing device, and is displayed to the customer. In some examples, the server sends a list of customers waiting to be serviced to the associate computing device. The list may be prioritized based on estimated wait times for those customers.