Image-Based Contact Center Interaction Routing
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Solution Overview
Problem
Customers face difficulties in accurately describing product issues to customer service representatives, especially with defective or damaged items, due to lack of technical knowledge, leading to inefficiencies in issue resolution.
Innovation Solution
A method that allows customers to initiate interactions with a contact center by uploading images of the product, using an image processing system to identify the product and detect issues, generate a problem statement, and route the interaction to the appropriate contact center resource.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If customers provide detailed verbal descriptions of product issues, then the accuracy of issue identification may improve, but the complexity of the interaction process and time required increase
Solution Approach 1:
The system performs preliminary actions by automatically analyzing uploaded images to generate problem statements and identify potential issues before the customer even describes the problem verbally. This pre-processing of visual data reduces the need for lengthy verbal descriptions and accelerates the overall interaction timeline while maintaining high identification accuracy.
Solution Approach 2:
The patent introduces an image processing system as an intermediary between the customer and the contact center representative. This intermediary automatically extracts relevant information from uploaded images, generating structured problem statements that bridge the gap between visual evidence and actionable insights, thereby reducing both interaction time and improving accuracy simultaneously.
2Measurement precision
If customers upload images of the product, then the accuracy of issue identification improves, but the complexity of the system increases
Solution Approach 1:
The contact center system is enhanced with multi-functionality to handle both traditional verbal interactions and new image-based interactions. The system can process uploaded images, generate problem statements, and route interactions appropriately, all while maintaining compatibility with existing voice and text-based customer service channels. This universal approach allows accurate issue identification through images without requiring a completely separate complex system.
Solution Approach 2:
The system incorporates self-service capabilities where uploaded images are automatically analyzed and problem statements are generated without requiring extensive manual intervention. The automated image processing and analysis features enable the system to handle complex image data independently, reducing the operational complexity burden on human operators while maintaining high identification accuracy.
3Ease of operation
If customers initiate interactions with image uploads, then the ease of operation improves, but the loss of information may increase due to automated processing
Solution Approach 1:
The system implements feedback mechanisms where automatically generated problem statements from image analysis are presented to customers for review and correction. This feedback loop allows customers to verify that the automated processing has captured all relevant information accurately, and provides an opportunity to add or modify details that the automated system may have missed, thereby preventing information loss while maintaining ease of operation.
Solution Approach 2:
The system performs preliminary analysis of uploaded images to generate draft problem statements before the customer completes their interaction. This preliminary action provides a head start on information extraction, reducing the burden on customers to provide exhaustive verbal descriptions while ensuring that critical information is captured. The customer can then review and supplement this preliminary analysis to prevent any information loss.
Data Source
AI summary
A method for facilitating an interaction with a contact center for a customer relating to a problem with a target object. The method includes receiving images of the target object from the customer and processing the images by: identifying a base object corresponding to the target object; retrieving a base object model, product identification information, and customer service information associated with the base object; analyzing the images by comparing the images of the target object to the base object model to detect changes; based on the detected changes, determining a problem statement related to the interaction; and based on the customer service information and the problem statement, selecting an applicable contact center as the contact center for the interaction. The method includes transmitting a communication that include the problem statement to the contact center to initiate the interaction.