LED-Based Item Location Assistant Using Mobile Preference Matching
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Solution Overview
Problem
Shoppers face difficulties in finding items in retail stores due to crowded conditions and disorganized layouts, leading to frustration and wasted time.
Innovation Solution
A system utilizing LED lights on item hangers or tags that illuminate based on a shopper's predicted preferences, transmitted from their mobile device, to guide them to relevant items, along with potential notifications for visually or hearing-impaired shoppers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional manual item search methods are used in retail stores, then shoppers can find items eventually, but the search time is excessive and shopper satisfaction deteriorates due to crowded conditions and disorganized layouts
Solution Approach 1:
The system performs preliminary actions by analyzing shopping preferences and predicting item locations before the shopper arrives. The illumination system is pre-configured to highlight relevant items, so when the shopper enters, the target items are already identified and visually marked, eliminating the need for manual searching through crowded racks and aisles.
Solution Approach 2:
The patent replaces the mechanical manual search process (physically moving through racks, picking up items, checking prices) with an optical information system. LED lights and mobile device notifications provide digital guidance that substitutes for the physical act of searching, allowing shoppers to locate items without manual effort.
2Measurement precision
If LED illumination systems are deployed on all item hangers or tags in the store, then item location accuracy is improved, but device complexity and implementation cost increase
Solution Approach 1:
Instead of uniformly illuminating all items, the system applies illumination locally and selectively only to items that match the shopper's predicted preferences. The LED lights on specific hangers or tags are activated based on real-time analysis of shopping preferences, creating localized zones of attention rather than store-wide illumination.
Solution Approach 2:
The mobile device serves as an intermediary between the illumination system and the shopper. It receives shopping preference data, processes item matching algorithms, and triggers illumination of relevant items. This intermediary layer simplifies the overall system architecture by centralizing the decision-making logic in a portable device rather than requiring complex centralized control infrastructure.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Streamlines the shopping experience by quickly directing shoppers to items matching their preferences, reducing search time and enhancing satisfaction.
Implementation Method 1
The illumination can be from a light device (e.g., a light emitting diode (LED)).
Data Source
AI summary
Methods and systems for locating an item are described. When a shopper walks into a store, the shopper's mobile device transmits a signal with the shopper's shopping preferences. Any items that are within a certain distance of the mobile device and satisfy at least one of the shopper's preferences may light up to indicate that the item matches something the shopper is looking for.