Wearable Merchant Device for Real-Time Customer Engagement
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Solution Overview
Problem
Physical merchants face significant losses due to 'showrooming,' where customers view products in-store but purchase from online retailers with lower overhead, leading to missed sales opportunities.
Innovation Solution
Implementing a merchant-customer engagement system that uses sensors, mobile devices, and data analytics to track customer behavior in-store, providing personalized product recommendations based on location, time spent in areas, products viewed, and purchase history, displayed on wearable or mobile devices for seamless engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If customers use mobile devices to research product prices online while at physical merchant locations, then they can compare prices and find better deals, but physical merchants lose sales to online merchants with lower overhead
Solution Approach 1:
The system performs preliminary actions by proactively detecting when customers are viewing products and automatically presenting personalized offers and information before the customer can leave to purchase elsewhere. This preemptive engagement addresses price comparisons and purchase decisions at the moment they occur, preventing showrooming losses.
Solution Approach 2:
The system implements real-time feedback loops where customer behavior (product views, time spent, movement patterns) is continuously monitored and immediately translated into personalized recommendations and offers displayed on the customer's mobile device. This closed-loop feedback enables dynamic adjustment of pricing and product information to influence purchasing decisions.
2Adaptability or versatility
If merchants implement comprehensive customer tracking systems with sensors and data analytics, then they can provide personalized recommendations and improve customer engagement, but the system complexity and implementation cost increase
Solution Approach 1:
The system employs multi-functional components that perform multiple tasks simultaneously. For example, mobile devices serve both as customer interface and data collection points, while sensors simultaneously track location, product interest, and customer behavior patterns. This consolidation reduces overall system complexity while maintaining comprehensive engagement capabilities.
Solution Approach 2:
The system enables self-service functionality where customers receive automated, personalized recommendations and pricing information without requiring complex human intervention. The automated analysis of customer behavior and generation of personalized offers reduces the operational complexity burden on merchant staff while maintaining high adaptability to individual customer preferences.
3Productivity
If merchants provide real-time personalized recommendations based on customer behavior tracking, then sales conversion rates improve, but customer privacy concerns and data security requirements increase
Solution Approach 1:
The system applies local quality by processing and analyzing customer data locally on the merchant's system or the customer's own device rather than centralizing all data collection. Personalized recommendations are generated based on locally processed behavior patterns, minimizing the transmission and storage of sensitive personal information and thereby reducing privacy risks while maintaining conversion rate improvements.
Data Source
AI summary
Systems and methods for providing a merchant-customer engagement system include a physical merchant location in which a customer may be tracked to determine products within the physical merchant location that the customer is interested in. A merchant may use a wearable merchant device that is configured to identify the customer via a camera that captures an image of the customer, and that image may be used to retrieve customer account information for that customer. Using the customer account information and the products that the customer is showing interest in, the wearable merchant device may be used to display merchant-customer engagement information next to a view of the customer to allow the merchant to help the customer while utilizing a variety of displayed information about the customer including, for example, past purchases, products browsed in-store and previously browsed online, time spent in an area of the physical merchant location, etc.