Added ability to set custom callerID numbers per campaign for outbound calls by areacode. You can even set multiple callerIDs per areacode.

git-svn-id: svn://192.168.202.10@1717 3d104415-ff17-0410-8863-d5cf3c621b8a
This commit is contained in:
mattf
2011-09-01 16:12:37 +00:00
parent 414c5150c3
commit a1951d350e
10 changed files with 573 additions and 70 deletions
@@ -110,3 +110,35 @@ INSERT INTO vicidial_statuses values('CPDSV','CPD Sit-Vacant','N','N','UNDEFINED
INSERT INTO vicidial_statuses values('CPDUK','CPD Unknown','N','N','UNDEFINED','N','N','N','N','N','N');
INSERT INTO vicidial_statuses values('CPDERR','CPD Error','N','N','UNDEFINED','N','N','N','N','N','N');
Marketing Description of the Sangoma Netborder Call Analyzer:
Call Progress Analysis is the process of detecting pre-connect information about failed outbound call attempts and the destination partys media type for connected outbound calls.
Strictly speaking, Call Progress Analysis (CPA) is the automated determination by a piece of telecommunications equipment as to the result of dialing a number. For example, the result of the analysis might be a busy tone, an answered call, ringing at the other end but no answer after a preset number of rings or after a specified duration of time, and so on. The analysis involves detecting the various call progress tones generated by the telephone network as the call is put through.
Traditional Call Progress Analysis implementations rely on simple rule-based algorithms, which provide sub-optimal accuracy of speed of processing, leading to significant inefficiencies in operations. In a number of real-life campaigns, dialing applications often reach their target in less than 30% of the call attempts.
Call Analyzer's Call Progress Analysis engine is patent-pending technology that is built on statistical models that represent the potential outcomes of call attempts. The result is a virtual machine that learns the patterns of what constitutes a call attempt that result in a voice mail versus a live human versus a special intercept tone, etc. The Call Analyzer functions much like the human brain and is able to adapt to a wide variety of noise conditions, ringing patterns and telecom network conditions.
Sangoma has run its own internal benchmarking of various technologies, out of the box, without tuning; using a database of live recordings of approximately 5000 calls. Sangoma provides 15% increase in accuracy over competing technologies. While this does not constitute a guarantee, live deployments should experience similar results and performance over a statistically significant sample of calls.
Features:
* Best-in-industry accuracy and response time
With patent-pending algorithms, NetBorder Call Analyzer delivers the highest accuracy and fastest call delivery rates available for automated calling applications.
* Optimized Detection
o Configurable pre-connect tone detection
o Post-connect analysis
o End of Greeting
* Resilient against different calling conditions
Statistical models used by NetBorder Call Analyzer are robust, regardless of background noise and network conditions.
* Integrate via Standards-Based SIP
No proprietary Application Programming Interfaces. Support for both PSTN and VoIP networks.
* Operate in a dynamic environment
Call progress confidence measures enable the system to adapt according to contact center operating conditions.
* Streamlined tuning process The statistical approach eliminates the need for long and frequent tuning cycles of the call progress parameters.