Synthetic Human Video Assistant for Personalized Sales Interaction

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Solution Overview

Problem

Existing sales and marketing strategies face challenges in effectively engaging customers through personalized interactions, particularly in identifying and retaining knowledgeable and relatable sales and support staff.

Innovation Solution

A computer-implemented method using an embedded interface that includes products for sale, where a user can request an interaction based on a product, and a synthetic human is initiated to respond, utilizing a large language model to generate responses that simulate human-like interactions, including speech errors and pauses.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If traditional sales and marketing strategies are used with human staff, then personalized customer interactions can be achieved, but the cost of identifying and retaining knowledgeable and relatable sales staff increases

Engineering Contradiction:

Improvecustomer interaction qualityVSAvoidsales staff resources

Core Design Contradiction:

Ease of operationVSQuantity of substance

Solution Approach 1:

The patent creates synthetic human replicas that copy and replicate the knowledge, personality, and interaction style of original sales staff. These digital twins can serve customers without requiring additional human employees, thus maintaining personalized interaction quality while reducing dependency on human staff resources.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The system transforms human sales staff into digital representations by changing the state from physical human interaction to digital simulation. This parameter change allows the same interaction capabilities to be delivered without the constraints of human availability, hiring, and retention.

Inventive Principle:

Principle #35Parameter changes

2Reliability

If more sales staff are hired to improve customer service coverage, then customer satisfaction can be enhanced, but operational costs increase

Engineering Contradiction:

Improvecustomer service availabilityVSAvoidoperational cost

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

Each synthetic human replica can serve multiple customers simultaneously and across different time zones, providing universal service coverage. One synthetic employee can replace multiple human employees by handling numerous customer interactions in parallel, thereby improving service availability without proportional increases in operational costs.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The synthetic humans can operate continuously without breaks, ensuring uninterrupted customer service availability. Unlike human staff who require rest periods and have limited working hours, digital replicas can maintain service continuity 24/7, enhancing reliability without the recurring costs of overtime and additional shifts.

Inventive Principle:

Principle #20Continuity of useful action

3Adaptability or versatility

If human sales staff are trained to be knowledgeable and relatable, then customer interaction quality improves, but training time and resources increase

Engineering Contradiction:

Improvesales staff knowledgeVSAvoidtraining duration

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The synthetic human replicas are pre-loaded with comprehensive product knowledge, company policies, and interaction protocols during their creation phase. This preliminary action eliminates the need for ongoing training that would otherwise be required for human staff, allowing them to immediately possess the knowledge and adaptability needed for high-quality customer interactions.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces the mechanical training process with digital knowledge injection. Instead of training human employees through time-consuming educational programs, the system directly implants the required knowledge base into synthetic replicas, dramatically reducing the time and resources needed to achieve equivalent expertise levels.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250118329A1Artificial intelligence virtual assistant using large language model processing

Publication Date: 2025.04.10 LOOP NOW TECHNOLOGIES INC

AI summary

Video processing using artificial intelligence is disclosed. An embedded interface including products for sale is accessed. A user requests an interaction based on one of the products. The embedded interface initiates a video segment including a synthetic human in response to the user request. The user submits a question or comment. The interface collects the user input and converts it into a dataset readable by a large language model (LLM). The LLM generates a response to the user request. The response is used to generate an audio stream. The audio stream includes simulated human speech errors and pauses. The audio stream is segmented and a video clip is synthesized for each audio segment. The video clips are assembled into a new video segment which is presented to the user. Additional user interactions are collected and new video segments are generated in response.