Configurable Product Assortment Segmentation Across Multiple Hierarchies
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Solution Overview
Problem
Current product assortment methodologies rely on single product hierarchy trees, introducing errors and inflexibility in analyzing cross-category impacts, leading to inefficient decision-making and potential cannibalization issues in retail product placement.
Innovation Solution
Utilize multiple product hierarchies representing different views of product groupings to analyze cross-category impacts, combining them into a single set of coefficients using linear regression methods, providing a hierarchy-independent analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single product hierarchy tree is used for product assortment analysis, then the analysis structure is simple and easy to implement, but the measurement precision and reliability of cross-category impact analysis deteriorates due to inherent errors and inflexibility
Solution Approach 1:
The patent segments the product hierarchy analysis into multiple independent hierarchy trees, each representing different product groupings or categorization approaches. Instead of relying on a single hierarchy, the system creates multiple segmented views of product relationships, allowing for more comprehensive and accurate cross-category impact analysis by combining results from each segmented analysis.
2Measurement precision
If multiple product hierarchies are used to analyze cross-category impacts, then the measurement precision and flexibility improve, but the device complexity and computational requirements increase
Solution Approach 1:
The patent merges multiple product hierarchy analyses by combining the results from different hierarchy trees into a unified assessment of cross-category impacts. The system integrates findings from multiple segmented analyses, synthesizing them to produce a comprehensive view that leverages the strengths of each individual hierarchy while mitigating their individual limitations.
Solution Approach 2:
The patent creates a universal analysis framework that can handle multiple product hierarchies simultaneously. The system is designed to be multi-functional, capable of analyzing cross-category impacts across different categorization schemes and hierarchy structures, making the analysis process adaptable to various product assortment scenarios and retail contexts.
3Ease of operation
If traditional product hierarchy methods are used, then the ease of operation is maintained, but the adaptability and versatility in analyzing different product groupings deteriorates
Solution Approach 1:
The patent introduces dynamic adaptability into the product hierarchy analysis by allowing the system to switch between and combine multiple hierarchy configurations. The analysis framework can dynamically adjust which hierarchies are used based on the specific analysis needs, product categories involved, and research questions being addressed, while maintaining operational simplicity through automated hierarchy selection and integration.
Data Source
AI summary
Methods, apparatus, systems and articles of manufacture are disclosed for text extraction from a receipt image. An example non-transitory computer readable medium is disclosed comprising instructions that, when executed, cause a machine to at least generate a baseline product hierarchy using product information, calculate categorical impact values for products in the baseline product hierarchy, calculate an average impact value for the baseline product hierarchy using the calculated categorical impact values, calculate a first weighting factor for respective ones of the products based on a comparison between the categorical impact values and the average impact value, calculate a second weighting factor associated with respective ones of the products in the baseline product hierarchy based on sales data, and generate final weighted categorical impact values based on (a) the first weighting factors, (b) the second weighting factors and (c) the categorical impact values corresponding to the respective ones of the products.