Store Rental Support Device for Optimizing Display Area Use Conditions
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Solution Overview
Problem
In the context of next-generation store services, there is a need to support the rental of store spaces to business operators in a way that maximizes the contribution to the rental source, which is currently challenging due to the lack of effective methods to assess customer responses and set optimal use conditions for display devices and product shelves.
Innovation Solution
A store rental support device and method that acquire operation information from customers interacting with display devices and product shelves, detect customer responses, discriminate between good and bad responses, determine use conditions based on these responses, and output these conditions to support informed rental decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If rental decisions are made based on simple profit amounts, then the rental process is straightforward, but the ability to identify business operators with high contribution to the rental source is insufficient
Solution Approach 1:
The patent segments the assessment of business operator contribution into multiple dimensions: customer response detection, operation information collection, and weighted evaluation criteria. This segmentation allows for more precise measurement of contribution while organizing the complexity into manageable modular components.
Solution Approach 2:
The patent introduces an intermediary evaluation system that mediates between raw operational data and rental decisions. This intermediary layer processes customer response information and operation data through weighted criteria, transforming complex data into actionable rental recommendations without requiring direct complex interactions between all system components.
2Measurement precision
If detailed customer response detection is implemented, then contribution assessment accuracy improves, but the difficulty of detecting and measuring customer responses increases
Solution Approach 1:
The patent employs universal detection mechanisms that can capture multiple types of customer responses through a unified system. The operation information collection and response detection infrastructure serves multiple functions: tracking customer interactions, measuring engagement levels, and assessing contribution, thereby reducing the difficulty of measurement while maintaining precision.
Solution Approach 2:
The system implements feedback loops where detected customer responses are continuously analyzed and used to refine contribution assessments. This feedback mechanism automates the measurement process, reducing manual intervention difficulty while improving detection accuracy through iterative refinement of evaluation criteria.
3Productivity
If use conditions are determined based on comprehensive evaluation, then rental optimization improves, but the time required for determination increases
Solution Approach 1:
The patent applies preliminary action by pre-establishing weighted evaluation criteria and determination rules before the actual rental assessment process. By preparing the evaluation framework in advance with predetermined weights for different operation information types, the system can quickly process customer response data and determine use conditions without time-consuming deliberation during the actual determination phase.
Data Source
AI summary
A store rental support device includes a memory storing instructions; and one or more processors configured to execute the instructions to: acquire operation information of a customer for at least one of a display device and a product shelf installed in a store and lent to a rental destination operator, the display device and the product shelf exhibiting a product by the rental destination operator; detect a response of the customer to each of at least one area of the display device and the product shelf based on the operation information; discriminate whether the response to each of the areas is good or bad based on a detection result; determine a use condition for each of the areas based on whether the response is good or bad; and output the use condition.