Interactive Retail Display System for Consumer Gesture Analytics
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Solution Overview
Problem
Current interactive product displays in retail environments lack the ability to effectively collect and analyze consumer interaction data to dynamically update media content and provide centralized analytics for marketing insights, limiting their effectiveness in engaging customers and optimizing product promotion.
Innovation Solution
A computer-implemented method and system that collects product interaction data from consumer gestures, analyzes it to form marketing data, and remotely initiates media content updates on interactive product displays, using a network-connected sensing system and server-side software to track and analyze interactions, allowing retailers to manage content and analytics across multiple locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional touch screens are mounted horizontally or vertically in retail environments, then they can display product information to customers, but they lack the capability to collect and analyze consumer interaction data for dynamic content updates and centralized analytics
Solution Approach 1:
The patent introduces a server as an intermediary component that centralizes the collection, storage, and analysis of consumer interaction data from multiple display devices. This mediator architecture allows individual displays to remain relatively simple while enabling sophisticated data analytics and dynamic content updates across the entire system through the server's processing capabilities.
Solution Approach 2:
The server component serves multiple functions simultaneously: it collects interaction data from various sources, stores the data, analyzes consumer behavior patterns, generates dynamic content updates, and distributes updated content back to display devices. This multi-functional approach consolidates complex capabilities into a single centralized system rather than requiring each display to independently perform all these functions.
2Adaptability or versatility
If interactive displays are equipped with sensors and processors to collect and analyze consumer gestures, then they can dynamically alter media content based on interactions, but this increases device complexity and requires network connectivity for centralized management
Solution Approach 1:
The system implements dynamic content adjustment by continuously monitoring consumer interactions through sensors and processors, then real-time or near-real-time updates of media content based on detected gestures and behavior patterns. This dynamic adaptation allows the display to respond flexibly to changing user needs while the centralized server manages the complexity of interaction analysis algorithms.
Solution Approach 2:
The patent divides the system into segmented functional components: local display devices with sensors and processors for data collection, a network infrastructure for communication, and a centralized server for advanced analytics and content management. This segmentation allows each component to be optimized independently while maintaining overall system adaptability through their interconnected operations.
3Ease of operation
If multiple retail establishments use network-based digital displays with centralized content delivery, then content can be managed remotely, but the system cannot capture or utilize product-specific interaction data from individual locations
Solution Approach 1:
The system implements a feedback loop where consumer interaction data collected at individual retail locations is transmitted back to the centralized server, which then analyzes this feedback information and uses it to generate optimized content updates. This closed-loop feedback mechanism enables remote content management to be informed by actual consumer behavior data from each location, creating a continuous cycle of improvement.
Solution Approach 2:
The centralized server performs preliminary analysis of interaction data from multiple locations to identify patterns and trends before generating content updates. By pre-processing and analyzing data in advance, the system can proactively create optimized content that anticipates consumer needs across different locations, rather than simply reacting to individual interactions in real-time.
Data Source
AI summary
A computer implemented method includes receiving media content for interactive product display systems used with different products in different retail establishments. Product interaction data characterizing consumer gestures performed in connection with the different products in the different retail establishments is collected. The media content and product interaction data is analyzed to form marketing data. The display of media content at an interactive product display system of a retail establishment is remotely initiated.