Personalized Information Delivery via Product Image Recognition
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Solution Overview
Problem
Current systems for providing product information through mobile devices lack personalization, presenting the same data to all customers without considering individual preferences or attributes.
Innovation Solution
A system that registers customer data, including preferences and attributes, with a central server and database, allowing personalized information to be transmitted to a mobile device based on product data, using image recognition and augmented reality to overlay tailored information directly onto the product image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the same product information is presented to all customers through mobile applications, then the system implementation is simple and fast, but the information relevance and customer engagement are low
Solution Approach 1:
The system collects and stores customer preference data, purchase history, and demographic information in advance before the customer interacts with product information. This preliminary data collection enables the system to quickly retrieve and deliver personalized information without adding delay to the customer experience.
Solution Approach 2:
The system continuously receives feedback from customers through their interactions with product information, purchase decisions, and app usage patterns. This feedback loop allows the system to refine and update customer profiles in real-time, improving personalization accuracy while maintaining fast response times.
2Adaptability or versatility
If customer data collection and processing systems are implemented to provide personalized information, then information relevance and customer engagement improve, but system complexity and implementation costs increase
Solution Approach 1:
The system divides customer data into distinct segments such as demographic information, purchase history, product preferences, and behavioral patterns. Each segment is stored and processed separately, allowing the system to manage complexity through modular data handling while delivering comprehensive personalized information.
Solution Approach 2:
The patent introduces a centralized database and processing server as intermediary components between the mobile application and customer data. This intermediary layer manages the complexity of data collection, storage, and retrieval, shielding the mobile application from complex backend operations while enabling sophisticated personalization.
3Measurement precision
If comprehensive customer data is collected and stored, then personalized information accuracy improves, but data privacy concerns and security requirements increase
Solution Approach 1:
The system applies different levels of data collection and processing to different customer segments and product categories based on sensitivity and relevance. Not all customers receive the same level of personalization, and not all data points are collected for every interaction, reducing overall data exposure while maintaining personalization effectiveness where most valuable.
Data Source
AI summary
Systems and methods for providing personalized information to a registered customer of a business make use of a central computer server and a database that is in communication with the central computer server. The database includes data associated with the registered customer and data associated with products offered by the business, and is managed by the central computer server. A mobile device associated with the registered customer communicates with the central computer server via a software application running on the mobile device, and an image of a selected product is thereby communicated from the mobile device to the central computer server. Upon the identification of the selected product from the image, data associated with the selected product is retrieved and compared to data associated with the registered customer to thereby transmit personalized information to the mobile device of the registered customer based on that comparison.