Optimization System for Dynamic Tenant Combination in Shopping Malls
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Solution Overview
Problem
Real estate developers face challenges in promoting shopping mall traffic and increasing tenant sales, as existing technologies primarily focus on analyzing shopper actions rather than providing sustainable measures for enhancing touring and sales across multiple tenants.
Innovation Solution
An optimization system that combines human flow data from sensors with tenant attributes to create a correlation model, simulating optimal tenant combinations for continuous touring and sales growth by using a cloud-based service that includes edge and cloud servers, and an administrator terminal for data processing and simulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If stamp rally is performed regularly to promote shopping, then visitor preference can be estimated and shopping promotion can be achieved, but sustainability of customer attraction effect deteriorates
Solution Approach 1:
The patent implements dynamic tenant combination optimization that adapts to changing visitor preferences and shopping patterns. The system continuously updates tenant groupings based on real-time data analysis, transforming static tenant arrangements into dynamic, responsive configurations that maintain customer attraction effectiveness over time
Solution Approach 2:
The system changes key parameters such as tenant groupings, promotional strategies, and store combinations based on analyzed visitor data. By dynamically adjusting these parameters rather than maintaining fixed arrangements, the system sustains customer attraction effects and prevents diminishing returns from repetitive promotional events
2Measurement precision
If shopper traffic line analysis is performed with high accuracy using integrated camera data, then action analysis from entrance to cash register can be achieved, but measures for increasing touring of multiple tenants deteriorates
Solution Approach 1:
The patent creates a multi-functional optimization system that performs both accurate traffic line analysis and broader tenant touring optimization. The system integrates multiple functions including data collection, preference estimation, tenant combination optimization, and promotional strategy development, transforming a single-purpose analysis tool into a comprehensive management platform
Solution Approach 2:
The system introduces an intermediary optimization layer that connects precise traffic analysis data with actionable tenant management strategies. This intermediary processing layer analyzes traffic patterns and translates them into optimized tenant combinations and promotional recommendations, bridging the gap between measurement and application
3Loss of energy
If rent is calculated by multiplying sales amount by ratio to increase developer profit, then real estate developer profit increases, but measures for promoting shopping and increasing tenant sales deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where tenant performance data and visitor behavior information are continuously collected and analyzed. This feedback loop enables the system to identify underperforming tenant combinations and optimize them, creating a responsive management approach that balances developer profit goals with tenant sales growth through data-driven decision making
Data Source
AI summary
An optimization system includes: a customer touring acquisition unit that is configured to be able to acquire touring of stores by a customer; a store attribute information acquisition unit that is configured to be able to acquire one or more items of store attribute information for classifying features of the stores; a model training unit that creates a correlation model for the touring by the customer and the store attribute information by using the touring of the stores by the customer and the store attribute information as inputs; and a trained model storage unit that stores the created model, in which information regarding one or more stores to be opened is presented in such a way as to increase the touring of the stores by the customer based on the model.