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Call Progress Analysis

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Software Status:Active

About Call Progress Analysis

Call Progress Analysis is a software platform from LumenVox that provides insights into call traffic and outcomes. It includes voice detection, call classification, and analytics capabilities so users can assess call quality and improve operational efficiency. The software helps organizations understand call patterns, identify issues, and improve decision-making processes based on data-driven insights. It supports multiple telephony protocols and can be integrated with various CRM systems for a comprehensive view of customer interactions. Key capabilities: voice detection call classification analytics multi-protocol support CRM integration Best for: businesses that need to analyze call performance and improve customer communication strategies.

Call Progress Analysis Details

Vendor
LumenVox
Year Launched
2001
Location
LumenVox Headquarters 591 Camino de la Reina, San Diego, California 92108, US
Deployment
cloud, on premise, windows, linux
Training Options
documentation, videos, live online
Countries Served
All Countries
Languages
English, German, Portuguese, Spanish.
Users
Supervisor, Telemarketer, Customer Service Representative, Sales Manager, Call Center Agent
Industries Served
Telecommunications, Contact Centers, Customer Service, Healthcare, Finance, Retail, E-commerce, Insurance, Technology, Automotive, Government, Media, Travel, Hospitality.
Tags
Auto Dialer, Call Progress Analysis, Nexmo

Call Progress Analysis's In-App Market Place

Does Call Progress Analysis have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (Fr), CNY (¥), SEK (kr), NZD (NZ$), KRW (₩), SGD (S$), NOK (kr), MXN (Mex$), INR (₹), BRL (R$), RUB (₽), HKD (HK$), TRY (₺), ZAR (R), AED (د.إ), SAr (﷼), DKK (kr), PLN (zł), THB (฿).

Pros & Cons

  • Advanced Speech Recognition: Accurately identifies speech and non-speech sounds, improving call efficiency.
  • Tone Detection: Distinguishes between human and machine voices, optimizing call routing.
  • Predictive Dialing: Optimizes call routing and agent utilization, reducing idle time and increasing productivity.
  • Answering Machine Detection: Delivers targeted messages to answering machines, saving time and resources.
  • Scalability: Handles high call volumes and adapts to changing business needs.
  • Integration: Easily integrates with existing contact center systems.
  • Machine Learning: Continuously learns and improves its performance, adapting to changing voice patterns and environmental conditions.
  • Potential for False Positives/Negatives: While the technology is advanced, there's a potential for misclassification of human or machine voices, which could impact call routing and message delivery.
  • Dependency on Data Quality: The accuracy of the system relies on the quality of the training data. Poor quality data can lead to decreased performance.
  • Cost: Implementing and maintaining a CPA system can be costly, especially for smaller businesses.
  • Complexity: Implementing and integrating CPA into existing systems can be complex and require technical expertise.

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