Gesture-Based Retail Interaction via Optical Sensor Detection
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Solution Overview
Problem
Existing cross-channel commerce methods lack effective gesture-based targeted interactions for enhanced retail experiences.
Innovation Solution
Implementing gesture-based interactions using mobile devices and digital kiosks equipped with optical sensors, allowing consumers to initiate Store Pick Up orders and receive targeted advertisements and offers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional W2S order fulfillment is used with paper or electronic documentation, then product verification is reliable, but consumer engagement and retail experience are limited
Solution Approach 1:
The patent replaces traditional mechanical/document-based verification (paper receipts, electronic docs on mobile devices) with an optical sensing system. The optical sensor detects gestures and movements of the mobile device to verify product pickup, eliminating the need for physical documentation while enhancing consumer engagement through interactive visual feedback and personalized offers displayed on screens.
2Adaptability or versatility
If gesture-based interactions are implemented, then consumer engagement is enhanced, but system complexity increases
Solution Approach 1:
The system enables self-service through automated optical gesture recognition. The optical sensor automatically detects and interprets consumer gestures without requiring manual intervention from store associates. The system autonomously processes gesture data, verifies product pickup, and delivers personalized offers, reducing the need for complex human-machine interaction protocols while enhancing consumer engagement.
3Adaptability or versatility
If optical sensors and digital kiosks are deployed, then targeted interactions are enabled, but implementation cost increases
Solution Approach 1:
The optical sensor system serves multiple functions: it verifies product pickup through gesture recognition, displays personalized offers and advertisements on digital kiosks, and provides real-time consumer engagement tracking. This multi-functionality consolidates what would otherwise require separate verification systems, display systems, and analytics platforms, reducing overall implementation cost while enabling targeted interactions.
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
Enhances consumer engagement and retail experience by simplifying the Store Pick Up process and providing personalized offers, while increasing brick-and-mortar store traffic.
Implementation Method 1
a digital kiosk and optical sensor situated at a store pick up location
Data Source
AI summary
Example gesture based cross-channel commerce retail systems and methods are provided. Some of the example systems and methods permit a consumer to complete a Store Pick Up order, i.e., an order placed by the consumer via computer, mobile device, telephone, fax, mail-order, etc., by gesturing with a mobile device near a digital kiosk and optical sensor at a store pick up location. The mobile device and/or the digital kiosk may display media content to the consumer while the consumer completes the Store Pick Up order. In another example system, a digital kiosk is located in a public area such as an airport, shopping mall, train station, or stadium. The digital kiosk displays media content to the consumer, and the consumer may transfer to a mobile device such media by gesturing with the mobile device near the digital kiosk.