Proximity Reminder System for Retail Product Location
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Solution Overview
Problem
Consumers visiting physical stores after browsing online may struggle to locate items on their wish lists and may forget items due to unknown or forgotten product locations, leading to inefficiencies in shopping and potential missed purchases.
Innovation Solution
A transaction server system that uses RFID tags and user location data to provide proximity reminders on mobile devices, indicating the location of items of interest within physical stores, thereby facilitating easier navigation and purchase.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If consumers browse products online and create wish lists, then they can express interest in items, but they may not know the exact location of items in physical stores and may forget to purchase them
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing product location information in the physical store before the consumer visits. When the consumer enters the store, the system already has the product location data ready and can immediately provide proximity reminders without requiring the consumer to search for items manually.
Solution Approach 2:
The system provides real-time feedback to consumers through proximity reminders that notify them when they are near products on their wish list. This feedback loop continuously monitors consumer location and product position, providing timely information to prevent forgotten purchases and reduce search time.
2Ease of operation
If consumers manually search for items in physical stores, then they can locate products, but it increases the time required to complete shopping
Solution Approach 1:
The system enables self-service by automatically tracking consumer location and product positions, then providing proximity reminders without requiring manual intervention from the consumer. The system serves itself by autonomously monitoring and notifying, eliminating the need for consumers to manually search for items.
Solution Approach 2:
The system replaces the mechanical search process (physically browsing shelves and aisles) with an automated electronic notification system. Instead of manually locating products, consumers receive digital proximity reminders that guide them to items, substituting physical search effort with automated information delivery.
Data Source
AI summary
Various examples of methods and systems for providing reminders for products in proximity are described. In one implementation, a method may receive information related to a list of one or more items available for sale at a physical store, wherein the list is associated with a user. The method may also receive information related to a location of a user device associated with the user. Based at least in part on a distance between the user device and at least one item on the list of one or more items, the method may further providing an indication to the user device that the user device is proximate the at least one item on the list of one or more items.


