Purchaser Flow Line Association with Product Sales Data
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Solution Overview
Problem
Existing technologies fail to effectively associate purchaser behavior in a store with actual purchase results, limiting the ability to analyze which products are likely to be purchased based on behavior patterns.
Innovation Solution
An information processing apparatus is configured to associate flow line information of a purchaser with product sales information by acquiring flow line data from a communication device moving with the purchaser and product sales data from a POS system, and then identifying product categories and calculating a degree of association to link the two datasets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If flow line information of purchasers is collected and product sales information is acquired, then the ability to analyze purchaser behavior and purchase results is improved, but the complexity of the information processing system increases
Solution Approach 1:
The system divides the store area into multiple regions, each associated with specific product categories. This segmentation allows the complex task of analyzing purchaser behavior across the entire store to be broken down into manageable regional analyses, improving the ability to link behavior with purchases while reducing computational complexity through localized processing.
Solution Approach 2:
The patent introduces a degree of association metric as an intermediary element that bridges flow line information and product sales information. This intermediary parameter simplifies the complex relationship between purchaser movement and purchase data, enabling effective analysis without requiring direct complex correlation between all behavioral and transactional variables.
2Measurement precision
If multiple data sources are integrated to associate purchaser behavior with purchase results, then the precision of purchase prediction is improved, but the difficulty of data processing and association increases
Solution Approach 1:
The system assigns specific product categories to specific regions in the store, creating local quality associations between spatial locations and product types. This allows the system to focus on local purchaser behavior patterns in relation to specific product categories, improving prediction precision for category-level purchases while simplifying the overall data association task through localized analysis rather than global complexity.
Solution Approach 2:
The patent transforms complex behavioral and transactional data into a simplified degree of association parameter. This parameter change converts the difficult task of directly associating flow line information with purchase results into a more manageable calculation based on regional category matches, thereby improving precision while reducing processing difficulty.
Data Source
AI summary
The present invention is an information processing apparatus configured to associate flow line information of a purchaser and product sales information, a region in an area where products are placed being set per category of products, the information processing apparatus including: a first acquisition unit configured to acquire the flow line information of the purchaser from a communication device that moves together with the corresponding purchaser in the area, the flow line information of the purchaser containing position information showing positions in the area of the communication device with the lapse of time; a second acquisition unit configured to acquire the product sales information that contains sales times of products and categories of the products purchased at the sales times; a product category identification unit configured to identify the categories of the products that are associated with the flow line information of the purchaser, from the flow line information of the purchaser acquired by the first acquisition unit and from the category information of the products placed in the area; a third acquisition unit configured to acquire a degree of association of the flow line information of the purchaser with the product sales information, based on the categories of the products contained in the product sales information acquired by the second acquisition unit and based on the categories of the products identified by the product category identification unit; and an association unit configured to associate the flow line information of the purchaser with the product sales information based on the degree of association acquired by the third acquisition unit.