Avaya Inc.

International Business Machines Corporation

Avaya Technology LLC

Lotus Leaf Coatings, Inc.

Christopher Sanchez

Andrew Thomas Busey

George Currie

Peter Bunyan

Govind Balakrishnan

Dwight M Moore

Kirschen Alcyone Seah

Peter Novosel

Mohammed Ehtesham Hoq

Kenneth Lynn Bowen

Edward C Horvath

Mark Lovett Wells

Stephen P Zilko

Zhiyu Zhang

Matthew Sanchez

Gopal Krishnan

Steven Teleki

Jan-Michael Gosau

Lawrence Chavez

A SOBA lifecycle methodology is provided for assembling and maintaining service-oriented business applications (SOBAs) for effective functionality and interoperability. SOBAs are loosely coupled business processes and applications in which all functions are defined as independent, semantically-aware business services, with distributed assembly from a global chain of providers. One useful prerequisite for the methodology is analyzing the associated SOA (service-oriented architecture) strategy and infrastructure such as the hardware, software, human resources, and deployment strategy. A second prerequisite is analyzing the associated SOA governance process for how all the resources of the SOBA will work together. Governance refers to design, release, run-time, and manage-time functions. The SOBA lifecycle methodology comprises selecting business functions and processes for the SOBA; populating a business services catalog with information about the SOBA and its components; developing and configuring the SOBA; testing and deploying components of the SOBA; setting up and operating the SOBA; and maintaining the SOBA.

Loosely coupled applications lifecycle methodology

Multiple communication types (e.g. chat, email, voice, etc.) are integrated into a call center. Embodiments can allow a single agent to handle multiple endpoints and multiple communication types. An agent user interface allows the agent to have control over accepting multiple communications and provides information to the agent about the communications and the customer. The agent can drag and drop canned responses, images, URLs, or other information into a window for immediate display on a customer's computer. The system also provides flexibility in transferring large amounts of historic and current data from one agent to another, and from storage to an active agent. The system also provides for 'blending' of different communication types to provide a single interface to the agent.

Automatic call distribution system using computer network-based communication

Multiple communication types are integrated into a call center. The communication types can be chat, email, Internet Protocol (IP) voice, traditional telephone, web page, digital image, digital video and other types. Features of the invention include allowing a single agent to handle multiple customers on multiple channels, or 'endpoints.' Prioritizing and assigning calls to agents based on a specific criteria such as the number of endpoints assigned to an agent, the agents availability, the priority of a customer call, the efficiency of a given agent and the agent's efficiency at handling a particular communication type call. An agent user interface is described that allows the agent to have control over accepting multiple calls. The agent can drag and drop canned responses, images, URLs, or other information into a window for immediate display on a customer's computer. The system provides for detailed agent performance tracking. The system provides failure recovery by using a backup system. If the network server fails, then the customer is connected directly to an agent. When a failed computer comes back on line, the statistics gathered are then used to synchronize the returned computer. The system provides extensive call recording or 'data wake' information gathering. The system provides flexibility in transferring large amounts of historic and current data from one agent to another, and from storage to an active agent. The system integrates human agents' knowledge with an automated knowledge base. The system provides for an agent updating, or adding, to the knowledge base in real time. The system also provides for &#x201c;blending&#x201d; of different communication types.

Multiple communication types are integrated into a call center. The communication types can be chat, email, Internet Protocol (IP) voice, traditional telephone, web page, digital image, digital video and other types. Features of the invention include allowing a single agent to handle multiple customers on multiple channels, or &ldquo;endpoints.&rdquo; Prioritizing and assigning calls to agents based on a specific criteria such as the number of endpoints assigned to an agent, the agent's availability, the priority of a customer call, the efficiency of a given agent and the agent's efficiency at handling a particular communication type call. An agent user inteface is described that allows the agent to have control over accepting multiple calls. The agent can drag and drop canned responses, images, URLs, or other information into a window for immediate display on a customer's computer. The system provides for detailed agent performance tracking. The system provides failure recovery by using a backup system. If the network server fails, then the customer is connected directly to an agent. When a failed computer comes back on line, the statistics gathered are then used to synchronize the returned computer. The system provides extensive call recording or &ldquo;data wake&rdquo; information gathering. The system provides flexibility in transferring large amounts of historic and current data from one agent to another, and from storage to an active agent. The system integrates human agents' knowledge with an automated knowledge base. The system provides for an agent updating, or adding, to the knowledge base in real time. The system also provides for &ldquo;blending&rdquo; of different communication types.

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Austin, TX, United States of America

Christopher Sanchez