Autonomous Segmentation Planner for Supply Chain Inventory Allocation
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Solution Overview
Problem
Existing market segmentation methods often lead to over-complication or under-segmentation, resulting in inefficient supply chain inventory allocation and sub-optimal service levels due to outdated decisions and the inability to adapt to changing market conditions.
Innovation Solution
An autonomous multi-dimension segmentation workflow system that autonomously generates and updates market segments, detects irrelevant features, and provides user interface analytics to optimize supply chain operations, using a segmentation planner to manage input data, discover relevant features, and visualize segments with policy parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If market segmentation is performed using multiple features and attributes, then segmentation precision improves, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the market into distinct segments based on multiple features and attributes. The system automatically creates segmented views of the supply chain network, allowing different segmentation strategies (e.g., by product, location, customer type) to be applied simultaneously without overwhelming the overall system complexity.
Solution Approach 2:
The patent introduces a new dimension of automation to the segmentation process. By implementing automatic segment generation and updating mechanisms, the system handles the complexity of multi-feature segmentation through algorithmic processing rather than manual model construction, thereby maintaining segmentation precision while managing system complexity.
2Adaptability or versatility
If market segmentation decisions are updated frequently, then adaptability improves, but loss of time decreases
Solution Approach 1:
The patent implements continuous segmentation monitoring and automatic updating mechanisms. The system continuously tracks changes in market conditions, customer behavior, and supply chain parameters, automatically regenerating segments when significant changes are detected, thereby maintaining adaptability without requiring frequent manual interventions that would consume time.
Solution Approach 2:
The system performs self-service by automatically detecting when segmentation updates are needed and executing the regeneration process without human intervention. The segmentation planner autonomously monitors data changes, determines when re-segmentation is necessary, and updates segments accordingly, reducing both the time loss and improving adaptability.
3Productivity
If autonomous segment generation is implemented, then productivity improves, but device complexity increases
Solution Approach 1:
The patent replaces manual segmentation processes with automated computational systems. The segmentation planner uses algorithms and data processing mechanisms to automatically generate and update segments, substituting human analytical work with computational automation, thereby improving productivity while managing system complexity through standardized automated procedures.
Data Source
AI summary
A system and method of autonomous multi-dimensional segmentation for a supply chain network. Embodiments include a supply chain network of one or more supply chain entities, a segmentation planner having a computer and memory, the segmentation planner configured to access input data relating to one or more supply chain entities, discover one or more features related to the input data, pre-process the input data and features, perform multi-dimension segmentation on the input data, generate one or more segment output visualizations, assign policy parameters to the multi-dimension segmentation performed on the input data.