Contact Center Agent Reallocation via Broadcast Acceptance
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Solution Overview
Problem
Existing contact center systems lack the ability to automatically reallocate agents in response to queue issues, such as long wait times, and do not provide notification to agents of changes in their queue assignments or the option for automatic expiration of changes.
Innovation Solution
Implementing a system that allows supervisors to send broadcast messages to agents requesting them to volunteer to address queue issues, with agents able to accept or decline, and automatically reallocating them if accepted, with options for reversing changes based on conditions like time expiration or queue health restoration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If automatic systems implement algorithms to enable or disable queue assignments, then agent reallocation speed is improved, but system complexity increases
Solution Approach 1:
The system enables agents to voluntarily accept or decline queue assignment changes through broadcast requests, eliminating the need for complex supervisor intervention algorithms. The automatic reallocation is triggered by agent response rather than complex predictive algorithms, reducing system complexity while maintaining speed.
Solution Approach 2:
The system implements a feedback mechanism where agents respond to broadcast requests with acceptance or decline. This simple feedback loop replaces complex algorithms by using direct agent input to drive reallocation decisions, achieving fast reallocation without excessive system complexity.
2Measurement precision
If supervisors manually change queue assignments for individual agents, then control precision is improved, but time consumption increases
Solution Approach 1:
The system segments the agent population into those who receive broadcast requests and those who don't, allowing supervisors to target specific groups rather than managing individual agents. This segmentation enables efficient bulk operations while maintaining the ability to control specific assignments when needed.
Solution Approach 2:
Instead of manually managing every individual agent assignment, the system uses broadcast requests to apply changes to multiple agents simultaneously. This partial automation approach reduces time consumption while maintaining control precision for targeted interventions when algorithms or individual manual changes are appropriate.
3Reliability
If agents are reassigned from previously assigned queues to queues in trouble, then queue health is improved, but agent workload balance deteriorates
Solution Approach 1:
The system dynamically adjusts agent assignments based on real-time queue conditions through broadcast requests. Agents can accept or decline reassignment based on their current capacity and preferences, allowing the system to respond dynamically to queue health issues while maintaining workload balance through agent autonomy.
Solution Approach 2:
The broadcast request mechanism provides feedback from agents regarding their willingness to accept additional workload. This feedback allows the system to balance queue health needs with agent capacity, preventing overload while still addressing critical queue issues through voluntary participation.
4Productivity
If broadcast requests are sent to all agents, then reallocation efficiency is improved, but communication overhead increases
Solution Approach 1:
The system applies broadcast requests selectively based on agent attributes, queue requirements, and current assignments. Rather than universally notifying all agents, the system targets specific subsets of agents whose attributes match the queue needs, improving reallocation efficiency while reducing unnecessary communication overhead.
Data Source
AI summary
Methods and systems for automatically implementing contact center administration updates based on acceptance of a broadcast request are provided. In particular, a request can be broadcast to a target audience. Acceptance of the request by members of the target audience automatically implements changes defined in connection with the request for accepting agents. The broadcast request can be recalled under certain conditions. In addition, the action or actions implemented in response to the acceptance of the request can be undone under various conditions.