Listing and Location Application for Indoor Store Navigation
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Solution Overview
Problem
Physical stores face challenges in navigating customers to specific items within their spaces and competing with online retailers due to lack of navigation assistance and sales metrics.
Innovation Solution
A listing and location application that uses GPS to direct users to products within a store, calculates the best route, correlates coupons, and provides localized maps, allowing users to share lists and navigate indoor and outdoor spaces efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If GPS location tracking is implemented in physical stores, then customer navigation capability is improved, but device complexity increases
Solution Approach 1:
The patent introduces a mobile device as an intermediary between the customer and the store environment. The mobile device runs an application that interfaces with GPS satellites, store infrastructure (beacons, cameras, sensors), and product databases, simplifying the overall system architecture while enabling comprehensive navigation and tracking capabilities.
Solution Approach 2:
The mobile device application serves multiple functions simultaneously: GPS location tracking, indoor navigation, product location identification, coupon distribution, shopping list management, and traffic pattern analysis. This multi-functionality consolidates what would otherwise require multiple separate systems into a single integrated solution.
2Productivity
If detailed product location tracking is implemented, then shopping efficiency is improved, but loss of information increases due to data management complexity
Solution Approach 1:
The system continuously collects data from multiple sources (GPS location, product scanners, customer movements, purchase history) and provides real-time feedback to customers through the mobile application. This feedback loop enables dynamic route optimization, product availability updates, and personalized recommendations, improving shopping efficiency while systematically managing data through structured feedback mechanisms.
Solution Approach 2:
The system performs preliminary actions by pre-mapping store layouts, pre-locating products within the store database, and pre-calculating optimal routes based on historical data. When a customer enters the store, this pre-prepared information is quickly retrieved and presented, eliminating the need for real-time data processing and reducing information management complexity during the actual shopping experience.
3Measurement precision
If merchant shop maps and product locations are displayed, then navigation accuracy is improved, but ease of operation decreases due to interface complexity
Solution Approach 1:
The mobile application displays different types of information based on the customer's current location and needs. Rather than showing all possible data simultaneously, the interface adapts to display only relevant information at each moment - such as directional arrows when navigating, product details when near shelves, or coupon information when applicable. This localized information presentation maintains high navigation accuracy while keeping the interface simple and easy to operate.
Data Source
AI summary
A listing and locating application is shown and described. The listing and locating application will allow for products to be listed within a listing function. The application will be able to share lists among allowed users. The application will have a GPS system that will allow for the application to display localized maps. The localized maps will display the exact locations of products on the list. The products on the list will be correlated with coupons form the merchant shop. The application further will be enabled to display a direction to locate a specific area or the most direct route through a localized area.