One number, intelligent call processing system

Telephonic communications – Plural exchange network or interconnection – With interexchange network routing

Reexamination Certificate

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Details

C379S219000, C379S088010, C379S088130

Reexamination Certificate

active

06185290

ABSTRACT:

BACKGROUND OF THE INVENTION
1. Field of Invention
The present invention relates to telecommunications call processing. More specifically, it relates to processing of a vanity telephone number dialed by a caller with a conventional telephone, so as to access a national virtual telephone number database to provide benefits, such as improved connection efficiency, selected services or products, to the caller, the servicing location(s) associated with the vanity number dialed and/or the vanity number advertiser.
2. Description of the Related Technology
Traditionally, entities with multiple employees, departments and/or locations, such as businesses and government agencies, have provided their customers with multiple telephone number points of contact, with usually at least one telephone number for each employee, department and location. This has placed a major burden on customers and prospective customers to find, remember, dial and be connected to the correct intra-entity telephone number for the services desired. It also has created cost and administrative burdens on these entities to publish and advertise multiple telephone numbers.
In the new world of electronic commerce, many such entities have started advertising “one number”, vanity telephone numbers as their primary customer contact point. These vanity numbers are usually national 10 digit numbers starting with area codes such as “800,” “888,” or “900”, local 7 digit numbers starting with an exchange such as “555” and “950” or special purpose three digit numbers like “311”, “411” or “911”. These numbers are usually easy to remember, such as 1-800-FLORIST. Unlike regular telephone calls with only two participants, vanity telephone number calls can have three participants, recipients, or beneficiaries:
1. The Vanity Number Advertiser
2. The Caller or Consumer
3. The Servicing Location(s)
Based on the increased volume of calls to these vanity numbers and customer demands for 24 hour support during seven days a week, reduced telephone busy signals and shorter hold times, vanity number advertisers have begun answering these calls with a new technology called Voice Response Units (VRU), also known as Interactive Voice Response (IVR).
Currently, there are over 50 manufacturers of VRUs. The commercialization of the VRU and changes in advertising practices has also spawned large numbers of new VRU applications from product manufacturers. Products may be advertised by an infomercial showing an “800” number to call so that a consumer may obtain a list of nearby dealers and/or a product brochure. The 800 number is answered by a VRU which requests the caller to record their name and address. This partially automates the call process, but requires large amounts of disk storage to store the caller provided recorded voice information and creates a large amount of post call work for the advertiser. For example, the advertiser must listen to, understand, transcribe the caller's name and address, certify the address by use of a U.S. Postal Service (USPS) coding accuracy support system (CASS), manually compile a list of nearby dealers and mail the information packet to the caller's address. These inefficiencies have created a need to further automate VRU applications. This is accomplished through what is now called intelligent call processing technology.
In this context, automated intelligent call processing (ICP) is defined as the capture of network provided data, such as automatic number identification (ANI) and dialed number identification service (DNIS), and caller-provided data, such as data entered by Dual Tone Multi-Frequency (DTMF) through a Touchtone telephone key pad or the caller speaking through the telephone to a VRU. ICP also involves the VRU accessing external databases that can decipher, validate, process and fulfill the caller's request by playing pre-recorded messages, creating call specific messages and speaking them to the caller, storing call captured information that can be accessed by or forwarded to the caller, servicing location or vanity advertiser, and/or automatically routing and connecting the caller to the servicing location or department. Semi-automated intelligent call processing is characterized by automating components of the call through intelligent call processing, but having some portion of the request still requiring live operator support during the call.
There are three primary components to an intelligent call processing system:
the network: the system level hardware and software that provides the platform for intra- and inter-system and participant communications;
the information retrieval, processing and storage: the databases and processing algorithms that provide the network application with the information required to fulfill the request; and
the applications: the processes that process and fulfill the request(s) of the caller, the servicing location and/or the vanity advertiser by utilizing the network and the retrieved, processed and stored information.
THE NETWORK
The VRU is the device that can be used to replace the network operator and/or the answering party. Early primitive, non-integrated ancestors to the VRU are the caller ID box and the answering machine. Current state-of-the-art VRUs are programmable devices that not only capture and process network provided data but also accurately translate caller spoken numbers and words into textual or binary data, and convert digital text in the form of words and sentences into speech that is understandable by most callers. The VRU capabilities in these areas are continuing to rapidly improve. The last remaining obstacle to VRU automation is immediate access to more information. This required better network access to network and remote databases and a way to associate the digital data stored in these databases with network provided data, such as ANI and DNIS, and caller provided telephone input in the form of sound: voice or DTMF accurately translated into digital data.
The computer network portion of this problem has been addressed with faster 32 bit and 64 bit processors, vast amounts of cheap RAM and disk storage, new levels of Computer Telephone Integration (CTI) and advances in computer wide area networking that provides real time access to many different databases stored on different computer systems physically located in different parts of the country. This is demonstrated in part by a variety of consumer computer-interface applications supported by computer network services, such as CompuServe®, America Online®, Microsoft Network™ and the Internet.
There are nearly 200 million access points in the national telephone network, which is many times the current number of access points for all of the computer networks combined. The major limitation of the telecommunications voice network is that other than the limited amount of network provided data and voice, the only widely supported communications means is another form of sound, i.e., DTW, which is a very primitive way of achieving one-way communication. Voice recognition has improved tremendously over the last few years, but is still a long way from being able to translate the words spoken by millions of people with different voices and accents into digital text words with 100% accuracy.
A few access points have videophones that support both sound and video in both send and receive modes. The technology has been around for many years to convert digital text data into video, and digital raster data in the form of maps and pictures into video, and transmit it over the national telecommunications network. There is also primitive technology available to scan and translate video images in the form of hand-written messages and typed characters, words and sentences into digital data, such as the ASCII character set. Today, none of the VRU manufacturers provide either of these capabilities with their current products. As videophones become more common in use, the existing technology to translate digital data into the form of a video image and transmit it to the caller will likely become

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