Contact Center Station Detection via Accelerometer Movement Patterns
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Solution Overview
Problem
Contact center agents often miss calls due to manual errors in updating their active station when switching between stations, leading to calls being routed to the wrong location, as they may forget to update their active station, resulting in missed interactions until returning to their original station.
Innovation Solution
A method that determines an active contact center station based on movement data, using sensors like accelerometers to collect and match movement patterns with specific stations, automatically updating the active station in real-time, ensuring accurate routing of calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual updating of active station is used, then agents can switch stations flexibly, but agents may forget to update resulting in calls being routed to wrong station
Solution Approach 1:
The system performs automatic active station updates based on detected movement patterns, eliminating the need for manual agent intervention. The contact center system monitors accelerometer data, identifies when an agent moves to a different physical location, and automatically updates the active station assignment, ensuring reliability without requiring agent action.
Solution Approach 2:
The manual mechanical process of agents updating their active station through system interfaces is replaced with an automated sensor-based system. Accelerometers detect physical movement, and software algorithms automatically determine and update the active station, substituting human action with automated technological systems.
2Device complexity
If manual updating of active station is required, then system complexity remains low, but time is lost due to manual updates and potential missed calls
Solution Approach 1:
The system continuously monitors accelerometer data in the background, detecting movement patterns before the agent even becomes aware of the need to update their station. By the time the agent reaches their new location, the system has already detected the movement and updated the active station, eliminating any time loss.
Solution Approach 2:
The accelerometer monitoring and movement detection operates continuously without interruption, ensuring that the system is always ready to detect and respond to station changes. This continuous operation eliminates gaps where updates might be missed and ensures seamless station transitions.
3Measurement precision
If movement data collection is implemented, then active station updates become automatic and accurate, but device complexity and data processing requirements increase
Solution Approach 1:
The system extracts only the specific accelerometer data relevant to movement detection, separating this critical information from other sensor data. By focusing solely on acceleration patterns that indicate physical movement to different locations, the system achieves high detection accuracy without processing unnecessary data, managing complexity effectively.
Solution Approach 2:
The system creates a simplified digital representation of the agent's physical location based on accelerometer patterns, rather than directly managing complex sensor data. Movement patterns are translated into discrete location states, creating an abstract model that is easier to process while maintaining accurate station detection.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution ensures timely and accurate updating of active contact center stations, preventing missed calls by automatically adjusting the active station as agents move between locations, enhancing operational efficiency and reducing manual errors.
Implementation Method 1
receiving accelerometer data, determining a pattern of movement associated with a contact center station based at least in part on the accelerometer data
Data Source
AI summary
Methods for determining an active station based on sensor data are provided. In one example, a method includes the steps of receiving movement data and determining a pattern of movement associated with a contact center station based at least in part on the movement data. An active contact center station is updated based on the pattern of movement.