Mobile Store Management System for Predicting User Purchases
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Solution Overview
Problem
Mobile stores face limitations in space and service offerings, making it difficult for customers to find desirable commodities or services, as existing systems lack efficient methods to predict and direct users to suitable mobile stores based on their purchase history and preferences.
Innovation Solution
A system comprising a server apparatus and autonomous traveling vehicles equipped with information processing capabilities, which acquire and analyze user purchase information to predict future purchases and direct users to mobile stores that offer the desired commodities or services, utilizing a network to communicate and manage store operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile stores operate with limited store space and independent locations, then each store can maintain operational simplicity and autonomy, but users face difficulty encountering desirable mobile stores and accessing diverse commodities or services
Solution Approach 1:
The patent introduces a management apparatus as an intermediary between mobile stores and users. This apparatus collects purchase information from multiple mobile stores, analyzes user preferences, and provides recommendations or directs users to appropriate stores. The intermediary handles the complexity of coordinating multiple stores and analyzing user data, while individual mobile stores remain simple and autonomous, thus increasing service variety without significantly increasing the complexity of individual store operations.
2Productivity
If mobile stores maintain independent operations with limited space, then each store can operate autonomously, but the overall service offering and commodity variety remain limited
Solution Approach 1:
The management apparatus serves multiple functions: it collects purchase information from various mobile stores, analyzes user preferences, generates recommendations, and directs users to appropriate stores. By making the management apparatus multi-functional, the system can handle diverse commodities and services from multiple independent stores while maintaining operational efficiency. Each mobile store remains autonomous but contributes to a unified service ecosystem that offers greater variety.
3Measurement precision
If the system collects and analyzes user purchase information across multiple mobile stores, then it can provide accurate predictions and recommendations, but the complexity of information management and processing increases
Solution Approach 1:
The management apparatus automatically collects purchase information from mobile stores, analyzes user preferences using predefined criteria, and generates recommendations without requiring manual intervention. The system self-manages the complexity of data collection, storage, and analysis by implementing automated processes and algorithms. This reduces the burden of information management complexity while maintaining high prediction accuracy through systematic data processing.
Data Source
AI summary
A server apparatus as a management apparatus in a system includes a controller configured to execute acquiring commodity-or-the-like purchase information of a user in a first mobile store from a store device of the first mobile store, selecting a commodity or a service predicted to be purchased next by the user based on commodities or services in the acquired commodity-or-the-like purchase information, and transmitting information regarding the user to a store device of a second mobile store dealing in the selected commodity or service.