Interactive Voice Response System Using Decision Tree Rule Analysis
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Solution Overview
Problem
Interactive voice response systems in financial institutions face inefficiencies in managing customer calls, as existing systems lack the ability to dynamically route, prioritize, and provide tailored menus based on real-time customer information.
Innovation Solution
Implementing an IVR system that communicates with users to verify credentials, retrieves and analyzes business rules using a decision tree application, allowing for dynamic call management, including routing and menu customization based on user information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional call management systems are used in IVR, then system simplicity is maintained, but call routing efficiency and personalization capability deteriorate
Solution Approach 1:
The patent segments call management into distinct functional modules: rule retrieval module, decision tree application, and call management module. Each module handles specific tasks (retrieving business rules, analyzing rules, executing call routing), allowing the system to achieve high efficiency through specialized processing while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The patent introduces a decision tree application as an intermediary between the IVR system and call management logic. This intermediary retrieves and analyzes business rules, then provides decisions to the call management module, enabling efficient and personalized call handling without requiring the core IVR system to contain complex management logic directly.
2Adaptability or versatility
If static call routing is used, then system complexity is reduced, but adaptability to different customer needs deteriorates
Solution Approach 1:
The patent implements dynamic call routing by retrieving business rules that contain current customer information and account status. The system adapts routing decisions in real-time based on retrieved data, allowing flexible response to different customer needs while keeping the routing logic itself simple through rule-based decision trees.
Solution Approach 2:
The patent changes routing parameters dynamically by retrieving updated customer information and account status before making routing decisions. Business rules are configured with parameters that change based on customer data, enabling adaptable routing without complex hardcoded logic for each scenario.
3Ease of operation
If real-time customer information retrieval is implemented, then personalization capability is improved, but information retrieval time increases
Solution Approach 1:
The patent performs preliminary action by retrieving business rules and customer information at the beginning of the call flow, before specific routing decisions are needed. This allows the system to have customer data ready for quick reference during subsequent routing and menu personalization, reducing delays during critical decision points.
4Manufacturing precision
If multiple business rules are retrieved during a call, then call management precision is improved, but processing time increases
Solution Approach 1:
The patent applies partial action by retrieving and analyzing only the specific business rules relevant to each customer's needs and call context, rather than processing all possible rules. The decision tree application selectively retrieves rules based on customer information, achieving precise call management while minimizing unnecessary processing time.
Data Source
AI summary
Methods, computer readable media, and apparatuses for managing calls in an interactive voice response system are presented. According to one or more aspects, a call from a user or customer is received by an interactive voice response system. The interactive voice response system retrieves user information based on user credentials. An interactive voice response program analyzes the user information and determines a first business rule to retrieve. A decision tree application retrieves the first business rule and analyzes the information within the first business rule. The decision tree application may retrieve one or more additional business rules based on a decision from the first business rule. The decision tree application makes a decision based on the information within the business rules and sends the decision to the interactive voice response application. Based on the decision, the interactive voice response application manages the call in the interactive voice response system.


