Dynamic Interaction Prioritization in Multi-Channel Contact Centers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current contact center systems employ static prioritization of interactions, which fails to dynamically adjust based on real-time customer feedback and metadata, leading to inefficient handling of high-priority interactions and potential customer dissatisfaction.
Innovation Solution
A computer-implemented method for dynamically prioritizing inbound interactions in a digital multi-channel contact center, involving an interaction analyzer module to extract metadata parameters, a prioritization module to calculate a Digital Interaction Priority Score (DIPS), and an interaction distribution module to route interactions based on the DIPS, ensuring high-priority interactions are addressed promptly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static prioritization is used, then system complexity is reduced, but interaction handling efficiency deteriorates
Solution Approach 1:
The patent implements dynamic prioritization by continuously updating interaction priorities based on real-time metadata extraction and customer feedback. The system transitions from static predefined priorities to dynamic priorities that adapt to changing customer needs and interaction contexts, thereby improving handling efficiency without excessive complexity
Solution Approach 2:
The system incorporates feedback loops where customer feedback from social media and other digital channels is continuously monitored and used to adjust interaction priorities. This feedback mechanism ensures that high-priority interactions are identified and routed appropriately based on real-time customer sentiment and needs
2Ease of manufacture
If static prioritization is used, then implementation simplicity is maintained, but response time for high-priority interactions increases
Solution Approach 1:
The system performs preliminary actions by pre-defining priority categories and metadata parameters before interactions occur. However, it dynamically applies these predefined structures to real-time interactions, balancing implementation simplicity with rapid response capability through automated priority assignment and routing
Solution Approach 2:
The patent replaces manual or static prioritization mechanisms with automated computer-based systems that use algorithms to calculate and update priorities in real-time. This substitution enables faster response times while maintaining implementation through standardized software modules
3Measurement precision
If dynamic prioritization based on real-time feedback is implemented, then interaction prioritization accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the prioritization process into distinct modules: metadata extraction, priority calculation, and interaction routing. Each module handles specific tasks independently, making the complex dynamic prioritization system manageable and maintainable while achieving high accuracy through coordinated operation of specialized components
Data Source
AI summary
A computer-implemented method for dynamically prioritizing inbound interactions in a digital multi-channel contact center. The computer-implemented method includes for each inbound interaction via a digital channel: (i) operating an interaction analyzer module to extract one or more metadata parameters from the inbound interaction; (ii) operating a prioritization module to calculate a Digital Interaction Priority Score (DIPS) of the inbound interaction based on the one or more metadata parameters; and (iii) forwarding the DIPS to an interaction distribution module to route the inbound interaction to an agent based on the DIPS. The DIPS is periodically updated until the interaction is assigned to the agent.