Product-to-Store Mapping System for Faster Physical Store Search
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Solution Overview
Problem
Conventional digital marketing methods fail to connect online product information with physical store locations where users can purchase desired products, leading to a disconnect between online information gathering and offline purchasing actions.
Innovation Solution
A system comprising a user terminal, server, and database that matches user-purchased product IDs with physical store data, including product images, stock information, and locations, to guide users to nearby stores that carry the desired products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional digital marketing methods are used to distribute advertisements online, then product information can be reached to prospective customers, but users cannot easily locate physical stores to purchase the products
Solution Approach 1:
The patent combines online product information distribution with offline physical store location data into a unified system. The server integrates advertisement data with physical store database information, allowing users to access both product details and store locations through a single interface, thereby eliminating the need to separately search for stores after viewing online advertisements.
Solution Approach 2:
The server acts as an intermediary between the online advertisement system and offline physical stores. It receives product information from advertisers, matches it with physical store inventory data, and delivers integrated information including store locations to users, thus bridging the gap between online marketing and offline purchasing.
2Loss of time
If users search for physical stores manually after viewing online advertisements, then they can find stores, but the process is time-consuming and inconvenient
Solution Approach 1:
The system performs preliminary actions by pre-integrating physical store location data and inventory information with product advertisement data before users search. When users view product advertisements, the system has already prepared and matched the corresponding store location information, eliminating the need for users to conduct separate time-consuming searches.
Solution Approach 2:
The system provides self-service by automatically matching users with nearby physical stores that carry the products they are interested in. The server autonomously queries the physical store database, identifies suitable stores based on user location and product availability, and presents the results without requiring manual intervention from the user.
3Ease of operation
If a unified system integrating online product data and offline store data is implemented, then users can easily locate physical stores, but the system complexity increases
Solution Approach 1:
The patent segments the system into distinct functional modules: an advertisement management module for handling product information, a physical store database module for storing store data and inventory, and an integration module on the server for matching and delivering combined information. This modular segmentation reduces overall system complexity by allowing each component to be developed and maintained independently.
Data Source
AI summary
Provided are a system, a program in a user terminal, and a server with which it is possible to provide the position of a physical store at which it is possible to purchase a purchase-considering product. This server has: an assessment unit configured to determine whether the product ID of the purchase-considering product matches at least one of the physical store product IDs; a physical-retail-store-specifying unit; and a transmission unit for transmitting image data pertaining to the product and location information pertaining to the physical retail store to a user terminal. The user terminal has a display unit for displaying a map. The display unit displays, at a position on the map that is specified by the location information of the physical store, an image of a product based on the image data.