In-Store Recommendation Server Using Position-Based Shopping Guidance
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Solution Overview
Problem
Existing store systems lack effective methods to enhance customer convenience by providing personalized and dynamic information based on their shopping location and behavior, leading to inefficient shopping experiences.
Innovation Solution
A store system apparatus that includes a server capable of acquiring customer terminal positions, outputting recommended commodities and registration summaries based on area-specific information, and integrating real-time user registration data to suggest related items and recipes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the store system provides personalized information based on customer position and behavior, then shopping convenience is improved, but system complexity increases
Solution Approach 1:
The store system divides the store into multiple areas and provides different recommended commodity information to customers based on their current location. The system segments customer data by terminal ID and tracks registration results separately for each area, enabling personalized information delivery without requiring complete system redesign.
Solution Approach 2:
The server acts as an intermediary between the terminal and the store inventory system. It acquires terminal position information, manages registration results from multiple customers, and outputs personalized recommended commodity information without requiring direct complex interactions between all system components.
2Measurement precision
If the system tracks and processes registration results from multiple customers in real-time, then information accuracy is improved, but processing time increases
Solution Approach 1:
The system pre-acquires and stores terminal position information and commodity information in advance. When a customer enters the store, the system already has the framework in place to quickly process registration results and provide recommendations without real-time complex calculations.
Solution Approach 2:
The system continuously monitors registration results from multiple terminals and uses this feedback to update recommended commodity information dynamically. The server processes registration results in real-time and outputs updated recommendations to appropriate terminals based on current customer behavior patterns.
Data Source
AI summary
According to one embodiment, a store system apparatus includes a communication interface connectable to a terminal of a customer of a store, a storage unit storing registration results of a plurality of customers, and a processor. The processor is configured to acquire position information of the terminal of the customer via the communication interface and output recommended commodity information via the communication interface to the terminal according to an area of the store corresponding to the acquired position information. The recommended commodity information indicates a recommended commodity that is in the area of the store. The processor also outputs registration summary information based on the stored registration results of the plurality of customers via the communication interface to the terminal.