Abstract: An end-user device operable in a retail store records a voice conversation held in the retail store. The recording is transmitted to a server for comparing it to recordings of other conversations from a plurality of other retail stores. The server makes a recommendation based on the comparing. Embodiments of the invention are also directed to an analytics system that collects real-time metrics data for various virtual or physical retail stores associated with a plurality of contact centers. The system performs real-time analytics of the collected metrics data for identifying a product or service. The processor modifies, based on the real-time analytics, a prior service or product to be offered by a particular retail store, with the identified service or product. The processor pushes the modified service or product for display on the end-user device use in the particular retail store.

Abstract: A system and method for network recording and speech analytics wherein a recording system receives media exchanged between first and second communication devices during a telephony call. The media is received by the recording system over a wide area network. The recording system bridges a media path between the first and second communication devices, and replicates media exchanged in the media path for storing the replicated media in a mass storage device. The recording system further captures metadata associated with the call, and stores the captured metadata in association with the stored media. The stored media and metadata may then be provided to a requesting device over the wide area network. The recording system may also be configured to analyze the call recording along with the associated metadata for detecting key words or phrases and/or triggering actionable events.

Abstract: Embodiments of the present invention are directed to a system and method for collecting and analyzing data from a plurality of contact center tenants. A processor collects from a plurality of source devices over a data communication network, real-time metrics data for a plurality of contact centers. The real-time metrics data relates to a plurality of contact center factors. The processor stores the collected real-time metrics data in the data store, and generates benchmark data based on the collected real-time metrics data. The processor determines, for a particular contact center of the plurality of contact centers, performance of the contact center relative to the benchmark data. The processor further outputs a recommendation based on the comparison.

Abstract: An end-user device operable in a retail store records a voice conversation held in the retail store. The recording is transmitted to a server for comparing it to recordings of other conversations from a plurality of other retail stores. The server makes a recommendation based on the comparing. Embodiments of the invention are also directed to an analytics system that collects real-time metrics data for various virtual or physical retail stores associated with a plurality of contact centers. The system performs real-time analytics of the collected metrics data for identifying a product or service. The processor modifies, based on the real-time analytics, a prior service or product to be offered by a particular retail store, with the identified service or product. The processor pushes the modified service or product for display on the end-user device use in the particular retail store.

Abstract: An end-user device operable in a retail store records a voice conversation held in the retail store. The recording is transmitted to a server for comparing it to recordings of other conversations from a plurality of other retail stores. The server makes a recommendation based on the comparing. Embodiments of the invention are also directed to an analytics system that collects real-time metrics data for various virtual or physical retail stores associated with a plurality of contact centers. The system performs real-time analytics of the collected metrics data for identifying a product or service. The processor modifies, based on the real-time analytics, a prior service or product to be offered by a particular retail store, with the identified service or product. The processor pushes the modified service or product for display on the end-user device use in the particular retail store.

Abstract: A system and method for aggregating a customer's anonymous online experience and associating it to the customer once the customer is known. A server monitors and aggregates data on anonymous interactions between a customer and a website. The collected data is stored in a data store in association with a code. The server detects occurrence of a trigger event as the data is collected, and the code is provided to the customer in response to detecting the trigger event. When the customer presents the code at the retail store, a retail store device sends a message including the code to the server. The retail store device also provides other identification information of the customer. The server may then associate the anonymous data to customer based on the identification information.

Abstract: In a system for managing chat automation, the system includes: a processor; and a memory coupled to the processor, wherein the memory stores instructions that, when executed by the processor, cause the processor to: receive a request for interaction from an end user operating an end user device; receive information from the end user device regarding the interaction; select a first automated chat profile based on the information regarding the interaction; route the request to an automated chat resource associated with the first automated chat profile; monitor a chat communication session between the end user device and the automated chat resource; detect a trigger event during the monitoring of the chat communication; and transition the chat communication session to a contact center resource other than the automated chat resource in response to the detected trigger event.

Abstract: A system and method for network recording and speech analytics wherein a recording system receives media exchanged between first and second communication devices during a telephony call. The media is received by the recording system over a wide area network. The recording system bridges a media path between the first and second communication devices, and replicates media exchanged in the media path for storing the replicated media in a mass storage device. The recording system further captures metadata associated with the call, and stores the captured metadata in association with the stored media. The stored media and metadata may then be provided to a requesting device over the wide area network. The recording system may also be configured to analyze the call recording along with the associated metadata for detecting key words or phrases and/or triggering actionable events.

Abstract: In a system for managing chat automation, the system includes: a processor; and a memory coupled to the processor, wherein the memory stores instructions that, when executed by the processor, cause the processor to: receive a signal indicating a communication is being initiated by an end user operating an end user device; receive information from the end user device regarding the communication; select a conversation path based on the information regarding the communication; invoke an automated chat resource for engaging in a chat communication session with the end user device, wherein the automated chat resource is configured to follow the conversation path during the chat communication session; monitor confidence levels of automated chat responses during the chat communication session; and redirect the chat communication session to a second conversation path in response to at least one of the confidence levels falling below a threshold level.

Abstract: A system and method for network recording and speech analytics wherein a recording system receives media exchanged between first and second communication devices during a telephony call. The media is received by the recording system over a wide area network. The recording system bridges a media path between the first and second communication devices, and replicates media exchanged in the media path for storing the replicated media in a mass storage device. The recording system further captures metadata associated with the call, and stores the captured metadata in association with the stored media. The stored media and metadata may then be provided to a requesting device over the wide area network. The recording system may also be configured to analyze the call recording along with the associated metadata for detecting key words or phrases and/or triggering actionable events.

Abstract: In a system for managing chat automation, the system includes: a processor; and a memory coupled to the processor, wherein the memory stores instructions that, when executed by the processor, cause the processor to: receive a signal indicating a communication is being initiated by an end user operating an end user device; receive information from the end user device regarding the communication; select a conversation path based on the information regarding the communication; invoke an automated chat resource for engaging in a chat communication session with the end user device, wherein the automated chat resource is configured to follow the conversation path during the chat communication session; monitor confidence levels of automated chat responses during the chat communication session; and redirect the chat communication session to a second conversation path in response to at least one of the confidence levels falling below a threshold level.

Abstract: In a system for managing chat automation, the system includes: a processor; and a memory coupled to the processor, wherein the memory stores instructions that, when executed by the processor, cause the processor to: receive a signal indicating a communication is being initiated by an end user operating an end user device; receive information from the end user device regarding the communication; select a conversation path based on the information regarding the communication; invoke an automated chat resource for engaging in a chat communication session with the end user device, wherein the automated chat resource is configured to follow the conversation path during the chat communication session; monitor confidence levels of automated chat responses during the chat communication session; and redirect the chat communication session to a second conversation path in response to at least one of the confidence levels falling below a threshold level.

Abstract: In a system for managing chat automation, the system includes: a processor; and a memory coupled to the processor, wherein the memory stores instructions that, when executed by the processor, cause the processor to: receive a request for interaction from an end user operating an end user device; receive information from the end user device regarding the interaction; select a first automated chat profile based on the information regarding the interaction; route the request to an automated chat resource associated with the first automated chat profile; monitor a chat communication session between the end user device and the automated chat resource; detect a trigger event during the monitoring of the chat communication; and transition the chat communication session to a contact center resource other than the automated chat resource in response to the detected trigger event.

Abstract: In a system for managing chat automation, the system includes: a processor; and a memory coupled to the processor, wherein the memory stores instructions that, when executed by the processor, cause the processor to: receive a signal indicating a communication is being initiated by an end user operating an end user device; receive information from the end user device regarding the communication; select a conversation path based on the information regarding the communication; invoke an automated chat resource for engaging in a chat communication session with the end user device, wherein the automated chat resource is configured to follow the conversation path during the chat communication session; monitor confidence levels of automated chat responses during the chat communication session; and redirect the chat communication session to a second conversation path in response to at least one of the confidence levels falling below a threshold level.

Abstract: A system and method for network recording and speech analytics wherein a recording system receives media exchanged between first and second communication devices during a telephony call. The media is received by the recording system over a wide area network. The recording system bridges a media path between the first and second communication devices, and replicates media exchanged in the media path for storing the replicated media in a mass storage device. The recording system further captures metadata associated with the call, and stores the captured metadata in association with the stored media. The stored media and metadata may then be provided to a requesting device over the wide area network. The recording system may also be configured to analyze the call recording along with the associated metadata for detecting key words or phrases and/or triggering actionable events.

Abstract: A system and method include a processor and a memory, where the memory stores instructions, which when executed by the processor, causes the processor to determine whether a session is hard-to-understand. When the session is hard-to-understand the processor provides an adjustment for the session.

Abstract: A system and method include a processor and a memory, where the memory stores instructions, which when executed by the processor, causes the processor to determine whether a session is hard-to-understand. When the session is hard-to-understand the processor provides an adjustment for the session.

Abstract: A system and method for aggregating a customer's anonymous online experience and associating it to the customer once the customer is known. A server monitors and aggregates data on anonymous interactions between a customer and a website. The collected data is stored in a data store in association with a code. The server detects occurrence of a trigger event as the data is collected, and the code is provided to the customer in response to detecting the trigger event. When the customer presents the code at the retail store, a retail store device sends a message including the code to the server. The retail store device also provides other identification information of the customer. The server may then associate the anonymous data to customer based on the identification information.

Abstract: An end-user device operable in a retail store records a voice conversation held in the retail store. The recording is transmitted to a server for comparing it to recordings of other conversations from a plurality of other retail stores. The server makes a recommendation based on the comparing. Embodiments of the invention are also directed to an analytics system that collects real-time metrics data for various virtual or physical retail stores associated with a plurality of contact centers. The system performs real-time analytics of the collected metrics data for identifying a product or service. The processor modifies, based on the real-time analytics, a prior service or product to be offered by a particular retail store, with the identified service or product. The processor pushes the modified service or product for display on the end-user device use in the particular retail store.

Abstract: Embodiments of the present invention are directed to a system and method for collecting and analyzing data from a plurality of contact center tenants. A processor collects from a plurality of source devices over a data communication network, real-time metrics data for a plurality of contact centers. The real-time metrics data relates to a plurality of contact center factors. The processor stores the collected real-time metrics data in the data store, and generates benchmark data based on the collected real-time metrics data. The processor determines, for a particular contact center of the plurality of contact centers, performance of the contact center relative to the benchmark data. The processor further outputs a recommendation based on the comparison.