Shelf Image Display With Item-Level Customer Approach Analysis
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Solution Overview
Problem
Current methods for analyzing customer behavior in retail settings are limited in their ability to provide detailed insights into customer interactions with merchandise displays, such as time spent near shelves and item pickup frequency.
Innovation Solution
An image display system that includes sensors to detect customer approach and position at shelves, associating this data with specific items, calculating behavior indices, and displaying these indices alongside item images to provide detailed behavioral analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If basic measurement methods are used to track customer behavior, then implementation complexity is low, but analysis detail and sophistication are insufficient
Solution Approach 1:
The patent segments customer behavior analysis into multiple dimensions: approach detection, position tracking, item association, and index calculation. Each aspect is handled by dedicated functional modules (approach situation information acquirer, associator, index value calculator), allowing detailed analysis while maintaining manageable system complexity through modular design
Solution Approach 2:
The patent introduces an associator as an intermediary component that links approach situation information with item information based on position data. This intermediary layer enables sophisticated analysis by bridging raw sensor data with meaningful business insights without requiring direct complex integration between all system components
2Loss of information
If detailed position tracking is implemented, then customer interaction insights improve, but data processing complexity increases
Solution Approach 1:
The patent extracts only the essential position information needed for item association from the complete approach situation data. The associator selectively processes position data to identify relevant item interactions, discarding unnecessary details and focusing only on information that contributes to behavioral insights, thereby reducing processing complexity while preserving key information
Solution Approach 2:
The patent applies different processing approaches to different types of data: approach detection uses binary presence/absence determination, position tracking uses coordinate mapping, and item association uses pattern matching. Each data type receives localized processing optimized for its specific characteristics, improving information retention while minimizing overall processing complexity
Data Source
AI summary
An image display device includes an approach situation information acquirer that acquires approach situation information indicating approach of at least part of a customer's body to a shelf on which a plurality of items are displayed and indicating, when there is the approach, a position of the approach on the shelf at each time; an associator that associates the approach situation information with one item of the plurality of items according to the position indicated by the approach situation information; an index value calculator that calculates an index value relating to the customer's behavior on the basis of information indicating the item associated with the approach situation information; and a display unit that displays the index value calculated by the index value calculator together with an image of the item on the basis of the association made by the associator.