Virtual Agent Ad Delivery for Resolving Customer Doubts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional marketing systems fail to provide personalized and actionable advertisements, leading to customer confusion and loss of sales due to unresolved doubts and lack of direct interaction during ad viewing.
Innovation Solution
A virtual agent server system that utilizes Natural Language Understanding, learning, and response modules to engage in natural language conversations with users, clarifying doubts, and facilitating transactions by selecting and delivering targeted advertisements based on user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional advertising systems display short advertisements to customers, then the advertising delivery is simple and fast, but the customer is left with doubts and confusions that cannot be resolved, resulting in loss of sales
Solution Approach 1:
The system implements a feedback mechanism where customer responses to advertisements are automatically analyzed and used to generate follow-up communications. The system monitors customer interactions, identifies doubts or questions, and triggers appropriate responses from the advertising system, creating a closed-loop communication that resolves customer uncertainties and improves conversion rates
Solution Approach 2:
The patent introduces an intelligent intermediary system that acts as a mediator between the advertisement and the customer. This intermediary analyzes customer responses, determines the nature of their doubts or questions, and facilitates appropriate follow-up actions, thereby bridging the information gap without requiring direct human intervention in every interaction
2Ease of operation
If conventional systems display advertisements without personalization, then the advertising system is simple to operate, but the advertisement does not indicate which user it is displaying for, leading to reduced engagement
Solution Approach 1:
The system performs preliminary actions by pre-segmenting the customer base and pre-personalizing advertisement content before delivery. Customer profiles are created in advance with their preferences, behaviors, and characteristics stored, allowing the system to automatically select and customize advertisements for each user without complex real-time decision-making, thus maintaining operational simplicity while achieving personalization
Solution Approach 2:
The patent applies segmentation by dividing the customer population into distinct groups based on their characteristics, behaviors, and preferences. Each segment receives tailored advertisements designed specifically for their profile, enabling personalized marketing while keeping the overall system structure simple and manageable through modular segmentation strategies
3Ease of manufacture
If conventional marketing systems use short advertisements with limited information, then the advertising content is easy to produce and deliver, but customers cannot make informed purchase decisions
Solution Approach 1:
The system employs dynamic advertising content that adapts its information depth and detail based on customer engagement level and response. Initial advertisements remain concise and easy to produce, but the system dynamically expands information provision in follow-up communications based on customer interest signals, thereby maintaining production simplicity while delivering comprehensive information when needed
Data Source
AI summary
A system for assisting a customer is provided. The system includes a database comprising multimedia files, where one or more tags are associated with one or more of the multimedia files. The system further includes a virtual agent server 100 configured to receive input from a first user (customer) and a second user (customer service representative). Further, the virtual agent server 100 processes the received input to understand a context of the input. Subsequently, the virtual agent server 100 identifies one or more multimedia files based on the context and the tags associated with the multimedia files. Subsequently, the virtual agent server 100 shares at least one of the identified multimedia files with at least one of the first user and the second user to enable better understanding between the first user and the second user.