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Summary

The JavaScript-based IVR SDK kit extends the capabilities of the VCC Live IVR, allowing you to build IVR processes that fit your needs.

Feature Highlights

  • Retrieve and adjust IVR variables.

Tip: Read more about the IVR processes here.

Use Cases

This functionality can create various customization possibilities in your IVR, including:

  1. Dynamic Decision-making Based on Variables
    For example, you can directly retrieve via IVR webhook a field that contains a date and tailor customer interactions dynamically based on the proximity of this date.
  2. Enhanced Mathematical Operations for Calculations
    With support for simple mathematical functions like Sum(variable1, variable2…), the system can efficiently compute totals and other values required to provide users with accurate and timely information. The new functionality introduces support for more complex mathematical operations, such as rounding numbers up or down or utilizing advanced JavaScript Math methods (e.g., https://w3schools.com/js/js_math.asp). This opens up greater possibilities for precise calculations in IVR workflows, such as customized billing, interest calculations, or other advanced use cases.
  3. String Manipulation for Flexible Data Handling
    Functionality to manipulate string values, such as extracting a substring (e.g., Left(variable1, 5) returns the first 5 characters of a string), allows developers to parse and format text data as needed within the IVR system.
  4. Call Time Tracking Across IVR Processes
    Calculating the duration of time spent in different IVR processes enables detailed call tracking and analytics, improving process optimization and customer experience.
  5. Automated Record Creation for Callbacks
    Facilitating the creation of new records, such as scheduling a specific callback date/time within a particular project, streamlines workflow automation and enhances follow-up efficiency.
  6. Advanced Data Extraction from Complex Texts
    The new functionality enables retrieving necessary data from complex text responses, such as JSON strings returned by services like Dialogflow. Developers can convert text responses into JSON objects using JavaScript-like operations, and then extract specific values with ease. This resolves the limitations of processing plain text and introduces more robust options for integration and customization.
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