AI Segmentation Interface for Real-Time Supply Chain Insights

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Solution Overview

Problem

Traditional ERP systems face inefficiencies due to data fragmentation, lack of integration capabilities, data inconsistency, and inadequate security, leading to operational delays and uninformed decision-making in complex distribution and supply chain environments.

Innovation Solution

An AI-driven segmentation and insight generation process integrates various systems through a unified interface, leveraging AI algorithms for real-time market data analysis and user preferences, ensuring data security and compliance, and employing a Real-Time Data Mesh and Single Pane of Glass User Interface for dynamic insight delivery.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If traditional ERP systems are used to manage distribution and supply chain processes, then comprehensive data storage and departmental access are achieved, but data fragmentation and lack of real-time visibility occur

Engineering Contradiction:
Improvedata storage capacityVSAvoidreal-time visibility
Core Design Contradiction:
Quantity of substanceVSLoss of information

Solution Approach 1:

The patent combines multiple ERP systems and data sources into a unified data integration platform that consolidates fragmented data from different departments and systems, enabling centralized management and real-time access to comprehensive supply chain information

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The data integration platform serves multiple functions including data aggregation, standardization, real-time analytics, and cross-system communication, allowing a single system to handle diverse data types and support various business processes simultaneously

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Quantity of substance

If traditional ERP systems are used for data management, then centralized data storage is achieved, but data integration capabilities with external systems are insufficient

Engineering Contradiction:
Improvecentralized data storageVSAvoidintegration capability
Core Design Contradiction:
Quantity of substanceVSAdaptability or versatility

Solution Approach 1:

The patent introduces a data integration platform as an intermediary layer between traditional ERP systems and external systems, facilitating seamless data exchange and communication while maintaining the integrity and security of centralized data storage

Inventive Principle:
Principle #24Intermediary (Mediator)

3Manufacturing precision

If manual processes are used for data transformation and validation, then data standardization is achieved, but operational efficiency and decision-making speed are reduced

Engineering Contradiction:
Improvedata standardizationVSAvoidoperational efficiency
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The system implements automated data transformation and validation processes that self-configure and self-optimize based on predefined standards and rules, eliminating the need for manual intervention while maintaining high data quality and standardization

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical processes of data transformation with automated computational systems that use algorithms and machine learning models to perform data standardization, validation, and enrichment at scale

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

4Productivity

If traditional ERP systems are used for supply chain management, then comprehensive process coverage is achieved, but data security and compliance adaptability are insufficient

Engineering Contradiction:
Improveprocess coverageVSAvoiddata security
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system implements dynamic security protocols and compliance rules that automatically adapt to changing threats and regulatory requirements, allowing the security framework to evolve in real-time while maintaining comprehensive process coverage

Inventive Principle:
Principle #15Dynamics

Data Source

PatentEP4708180A1Systems and methods for generating ai-driven integrated insights
Publication Date: 2026.03.11 INGRAM MICRO INC
  • EP4708180A1 patent drawingFigure 1
  • EP4708180A1 patent drawingFigure 2
  • EP4708180A1 patent drawingFigure 3

AI summary

Computerized systems and methods are described for automated AI-driven customer and vendor segmentation and personalized insights delivery. The method involves collecting real-time data, including purchasing behavior and market trends, analyzing it using AI/ML algorithms for segmentation, and delivering personalized insights through a user-friendly Single Pane of Glass User Interface (SPoG UI). Transaction details are logged for ongoing enhancement. Effectiveness of segmentation is monitored and refined based on user feedback and evolving market dynamics. Multiple data sources and analytics tools are integrated for comprehensive analysis. Users can customize segmentation parameters, and delivery options include push notifications and email alerts. The system facilitates continuous optimization and adaptation, enhancing relevance and precision.