A system comprises a database configured to store a plurality of baseline scripts, an applications server communicatively coupled to the database, and an analytics engine. Each of the plurality of baseline scripts is associated with a client of a call center and comprises a plurality of questions for guiding a communication session between an agent and a party. The applications server is configured to monitor a plurality of communication sessions. Each of the plurality of communication sessions is guided by a respective one of the plurality of baseline scripts. The applications server is further configured to obtain information about an actual call flow of each of the communication sessions and send the obtained information about the actual call flow of each of the communication sessions to the analytics engine. The analytics engine is configured to determine one or more proposed changes to a baseline script.

The invention relates to systems/methods that enable real-time monitoring/processing of contact center communications to provide timely, actionable analytic insights and real-time critical call alerts, while simultaneously providing best-in-class protection of sensitive customer information.

A computerized-method for providing real-time lockless parallel screen recording compliance enforcement to omni-channel cloud systems, is provided herein. In a processor of a client computer configured to execute code for recording events of one or more voice or digital interactions, on one or more screens associated to the client computer, the computerized-method maintains a cache for storing a masked state. Each interaction is having an associated interaction identifier and upon receiving a screen event from a server of a cloud-based video recording that is communicating with the client computer over a communication network, operating a compliance-enforcement module. The compliance-enforcement module includes updating the cache; and operating a module of recording of screen events for the screen events of the one or more voice or digital interactions. Thus, by updating in real-time the cache on the client computer refraining from database locks in the server of the cloud-based video recording.

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.

Embodiments described herein provide for automatically classifying the types of devices that place calls to a call center. A call center system can detect whether an incoming call originated from voice assistant device using trained classification models received from a call analysis service. Embodiments described herein provide for methods and systems in which a computer executes machine learning algorithms that programmatically train (or otherwise generate) global or tailored classification models based on the various types of features of an audio signal and call data. A classification model is deployed to one or more call centers, where the model is used by call center computers executing classification processes for determining whether incoming telephone calls originated from a voice assistant device, such as Amazon Alexa® and Google Home®, or another type of device (e.g., cellular/mobile phone, landline phone, VoIP).

Systems and methods are provided for determining a rapport score for a contact. Data associated with a contact may include an audio recording, a transcript, metadata, and/or other contact data collected during or generated after a contact. One or more rapport models are applied to the contact data to generate rapport metrics that capture one aspect of the rapport during a contact. Rapport metrics can be compared to target rapport metrics to determine whether the rapport metric indicates positive rapport during the contact. From rapport metrics, a rapport score can be generated that indicates the overall rapport for the contact. Rapport metrics, rapport scores, and other information associated with a contact can be provided in a manner that allows for useful evaluation of whether contact participants developed positive rapport during a contact and/or a series of contacts over time.

Techniques are described for managing the generation, style, and/or distribution of digital contact cards. An organization may access a card management platform and upload style information for digital contact card(s). Style information may include an arrangement and/or layout of the card(s), an organization name and/or logo to be included on the card(s), the font, color, size, or other characteristics of the text on the card(s), and so forth. A user may access the platform to request the distribution of a digital contact card to recipient(s). In response to the request, the platform may generate a digital contact card for the user based on the previously specified style information, and distribute card(s) to the specified recipient(s). Techniques are also described for determining positions of various mobile devices (and associated users) in a room or other area, and presenting received contact card information in a user interface according to the determined positions.

A system for data recording across a network includes a session border controller connecting incoming data from the network to an endpoint recorder. A load balancer is connected to the network between the session border controller and the endpoint and receives the incoming data from the session border controller, wherein the load balancer comprises computer memory and a processor configured to parse the incoming data into video data and audio data according to identification protocols accessible by the processor from the computer memory. A recording apparatus includes recording memory that receives the incoming data from the load balancer, stores a duplicate version of the incoming data in the recording memory, and connects the incoming data to the endpoint.

A call handler is configured to originate calls using records stored in a contact list by using various campaign call data comprising a set of calling party numbers or “ANIs” that are to be used when originating calls. Each ANI is associated with a status, which reflects whether a terminating voice service provider has blocked a prior call using that ANI. The call handler is configured to recognize when a call is blocked by examining SIP protocol-based error codes and/or intercept announcements provided by the carrier when the call is blocked. Upon detecting the call is blocked, the call handler will update the status of that ANI and select another ANI value from the campaign call data to use for subsequent call originations of that campaign. A set of ANIs that a carrier has blocked may be stored to facilitate subsequent redress with that carrier.

Methods and systems for call processing are described. A call from a caller intended for a first party is received at a call processing system, which stores call signaling information associated with the call. A greeting is played to the caller, and a voice communication is received and recorded. At least a first portion of the voice communication is transmitted in substantially real time to a terminal associated with the first person. At least a portion of the voice communication is converted to text and the text is stored and transmitted to a terminal associated with the first party. When a search query is received from the first party, the system searches the data store to determine if there is matching call having related matching call information. If there is a matching call, related information may be provided to the first party.