Sensor-Based Customer Identification for Personalized Retail Information Delivery
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Solution Overview
Problem
Physical retail locations struggle to provide customers with personalized and efficient access to product information and recommendations, as they often lack the ability to track customer interactions and deliver tailored experiences like electronic marketplaces.
Innovation Solution
Implementing a system that uses sensors and store servers to identify customers within physical stores, providing customized product information and recommendations through devices or store displays based on customer data, including shopping history and preferences, and allowing for interactive experiences such as demonstrations and sample delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If electronic marketplaces track user information to create tailored shopping experiences, then personalization and recommendation quality improve, but customer privacy and data security concerns worsen
Solution Approach 1:
The system segments customer information handling into multiple components: device identification, profile data storage, real-time location tracking, and personalized content delivery. Each segment operates independently with appropriate security measures, allowing personalization while maintaining privacy through controlled data access and processing.
2Ease of operation
If physical stores provide extensive product information and demonstrations, then customer service quality improves, but operational complexity and resource requirements worsen
Solution Approach 1:
The system enables customers to serve themselves through automated device identification, automatic profile retrieval, and on-demand delivery of personalized product information and demonstrations. The technology infrastructure handles complex operations automatically, freeing store employees from routine information delivery tasks while maintaining high service quality.
3Loss of time
If physical stores deliver customized product information quickly, then customer convenience improves, but system infrastructure complexity worsens
Solution Approach 1:
The system performs preliminary actions by pre-establishing customer profiles, pre-storing product information and demonstrations, and pre-configuring delivery mechanisms. When a customer enters the store, the system quickly retrieves and delivers personalized content without requiring complex real-time processing, thereby reducing delivery time while managing infrastructure complexity through advance preparation.
Data Source
AI summary
This disclosure is directed to, in part, providing customers with an enhanced shopping experience during a visit to a physical store location. The enhanced shopping experience may include providing the customer with customized delivery of product information. The product information may include demonstrations of product use, samples of products, recommendations of related products or areas of interest to a customer, etc. To provide the customized information, the customer may register to be identified while at the physical store location. The physical store location may include sensors that identify a location of the registered customer. A presentation module may then push relevant content to a device located near the customer, possibly in response to a request from the customer and/or a location of the customer.