Cross-Channel User Intent Recognition via Cloud Decision Engine

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Conventional implementations fail to achieve real-time pattern recognition and decisioning technologies across channels and devices, and they do not present and detect common cross-channel information and actions to shared devices effectively.

Innovation Solution

The system employs stream processing, event pattern recognition, and decision engine technologies to implement real-time and cross-channel cloud-based commerce services, enabling interactions across multiple channels while maintaining user privacy through consent-based interactions and using technologies like Oracle Streaming Analytics and Oracle Adaptive Intelligence for CX.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional implementations are used for multi-device interaction, then device complexity is reduced, but real-time pattern recognition and cross-channel decisioning capabilities are insufficient

Engineering Contradiction:

Improvereal-time pattern recognition capabilityVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces a cloud-based decision engine as an intermediary between user devices and service providers. This mediator receives data from multiple channels, performs real-time pattern recognition, and makes cross-channel decisions without requiring complex local processing on each device, thus improving productivity while managing system complexity centrally

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces traditional mechanical or rule-based interaction systems with intelligent systems using machine learning and pattern recognition algorithms. This substitution enables real-time analysis of user behavior patterns across channels, significantly improving the system's ability to recognize patterns and make intelligent decisions

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If cross-channel interactions are implemented across multiple devices, then user experience is improved, but information synchronization and detection across devices become more difficult

Engineering Contradiction:

Improvecross-channel interaction capabilityVSAvoidcross-device information detection

Core Design Contradiction:

Adaptability or versatilityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent implements a universal data model and communication protocol that enables the same information structure to be used across different device types and channels. This universal approach allows consistent detection and measurement of user interactions regardless of the specific device or channel, making cross-channel interactions adaptable while maintaining ease of information detection

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system implements real-time feedback loops where user interactions on any device are immediately detected, analyzed, and used to update the user profile and influence subsequent interactions across all channels. This continuous feedback mechanism simplifies cross-device information detection by providing real-time data about user behavior patterns

Inventive Principle:

Principle #23Feedback

3Measurement precision

If user data is collected from multiple channels for pattern recognition, then user intent detection is improved, but user privacy concerns increase

Engineering Contradiction:

Improveuser intent detection accuracyVSAvoiduser privacy risk

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent applies different processing qualities to different types of data. Sensitive personal information is processed with higher privacy protection (anonymization, encryption) while non-sensitive behavioral data is used for pattern recognition. This local quality approach allows accurate user intent detection while minimizing privacy risks by applying appropriate protection measures to each data element

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The cloud-based decision engine acts as a privacy-preserving intermediary that processes user data centrally with appropriate security measures. Instead of collecting raw data on multiple devices, the system uses a centralized mediator that implements privacy-by-design principles, reducing privacy risks while maintaining the ability to detect user intent through aggregated pattern analysis

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11615097B2Triggering a user interaction with a device based on a detected signal

Publication Date: 2023.03.28 ORACLE INT CORP

AI summary

Systems and methods are provided for detecting a signal to configure a user device. Data associated with a user interaction can be received, where the data include input that was received from the user at a first device. A signal can be recognized based on the received data about the user. A second device can be configured to interact with the user based on the recognized signal, the interacting including an audio interaction or a visual interaction. A software function that implements an action item can be executed, where the execution of the software function is based on second input from the user received at the second device.