Nice Systems Ltd.

Nice Ltd

Eshay Livne

David Geffen

Dror Zernik

Hovav Lapidot

Omer Abramovich

Itai Gordon

Eyal Eshel

A computerized system for summarizing agreements between two or more parties, comprises one or more processors. The processors may be configured to capture data relating to the agreement, such as agent screen data during an interaction with a customer. The data may be captured in successive capture operations each in response to an event, such as an agent key press or data entry. The captured data may be used to prepare a continuous text summarizing the agreement. An audio summary of the agreement may be derived from the text and played to at least one of the parties.

Device, system and method for summarizing agreements

A system and method for real-time process management. An attribute of a process currently performed may be related to a key performance indicator (KPI) threshold. A system may determine, in real-time, the KPI threshold was breached. An indication may be provided to, for example, a mobile device. Feedback related to an intervention of an expert may be received on the mobile device.

System and method for real-time process management

A call center system optimizing rules enforced over interactions with customers, including: an infrastructure including a module for handling interactions with customers, and hardware for at least maintaining the communication with said customers; management rules comprising one or more rule parameters, enforcing interaction behavior during all interactions with customers; and an adaptive, self learning module, for: monitoring interactions with customers; upon completion of each interaction, recording a corresponding set of full interaction details, which includes rule parameters that were enforced during said interaction, and those additional interaction parameters that are specific to that interaction; and using an adaptive engine, periodically analyzing said sets of recorded full interaction details, and producing one or more modified rules having modified rule, parameters, and enforcing said modified rules over future interactions with customers.

Adaptive, self-learning optimization module for rule-based customer interaction systems

The invention relates to a call center system having automatic means for optimizing those rules that are enforced over interactions with customers, said system comprises: (a) an infrastructure which comprises a CRM module for at least handling the interactions with customers, and hardware means for at least maintaining the communication with said customers; (b) management rules, each rule comprising one or more rule parameters, said rules parameters enforcing interaction behavior during all interactions with customers; and (c) an adaptive, self learning module, for: (c.1) monitoring all interactions with customers; (c.2) upon completion of each interaction, recording a corresponding set of full interaction details, said set of full interaction details includes those rule parameters that were enforced during said interaction, and those additional interaction parameters that are specific to that interaction; and (c.3) using an adaptive engine, periodically analyzing one or more of said sets of recorded full interaction details, and producing one or more modified rules having modified rule parameters, and enforcing said modified rules over future interactions with customers.

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Karkur, Israel

Eshay Livne