Contextual Virtual Assistant for Social Ad Conversion

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Solution Overview

Problem

Current chatbots in social networking platforms are limited in scale and interaction, unable to engage users naturally due to rigid decision tree flows and lack of user profile information, resulting in low conversion rates.

Innovation Solution

Incorporating intelligent virtual assistants that receive context from social networking platforms, customer relationship management systems, and user interactions to provide personalized and natural conversations with users, enhancing engagement and conversion rates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If current chat bots are used to engage with users, then conversion rate can be improved, but the chat bots are limited in scale and use rigid decision tree flows that cannot interact naturally

Engineering Contradiction:

Improveconversion rateVSAvoidnatural interaction capability

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent replaces rigid mechanical decision tree flows with AI-based natural language processing and machine learning models. This substitution enables the virtual assistant to understand and respond to user queries naturally, moving from scripted mechanical interactions to adaptive AI-driven conversations that can handle diverse user needs without rigid constraints.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the operational parameters of chat bots by integrating real-time user profile data, advertising context, and historical interaction patterns into the AI models. This parameter enrichment allows the system to dynamically adjust its responses based on multiple factors simultaneously, enabling both high conversion rates and natural interaction capabilities.

Inventive Principle:

Principle #35Parameter changes

2Ease of operation

If user profile information is made available to chat bots, then interaction relevance can be improved, but data privacy and information security concerns arise

Engineering Contradiction:

Improveinteraction relevanceVSAvoiddata privacy risk

Core Design Contradiction:

Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The patent introduces an intermediary data processing layer between data collection and chat bot interaction. This intermediary system aggregates and processes user profile information, advertising context, and interaction history in a centralized manner, then delivers processed insights to the AI models. This intermediary approach enables relevant interactions while maintaining data security through controlled data access and processing.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent performs preliminary data processing and context aggregation before the actual chat bot interaction occurs. By pre-processing user profiles, advertising information, and historical data into structured contexts, the system prepares relevant information in advance without exposing raw data during interactions. This preliminary action enables relevance while minimizing real-time data exposure risks.

Inventive Principle:

Principle #10Preliminary action

3Adaptability or versatility

If more comprehensive user data is collected and processed, then personalized interaction quality can be improved, but system complexity and resource requirements increase

Engineering Contradiction:

Improvepersonalization capabilityVSAvoiddata processing complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the data processing system into distinct functional modules: user profile data collection, advertising context aggregation, historical interaction tracking, and AI-based interaction generation. This segmentation allows each component to process and manage specific data types independently, reducing overall system complexity while enabling comprehensive personalization through coordinated operation of specialized modules.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS11736419B2Contextual awareness from social ads and promotions tying to enterprise

Publication Date: 2023.08.22 VERINT AMERICAS INC

AI summary

Systems and methods for incorporating intelligent virtual assistants into advertisements on social networking platforms are provided. When a user interacts with a content item, an intelligent virtual assistant is selected and put into contact with the user. The intelligent virtual assistant is provided with a context that includes information about the user in the social networking platform, information about the user in a customer relationship management platform, and information about the product, service, or entity associated with the content item. The context allows the intelligent virtual assistant to converse with the user in a way that feels natural and relevant to the user and allows the intelligent virtual assistant to answer any questions about the product, service, or entity associated with the content item.