Automated Shopping Assistant Digital Avatar for Personalized Fitting
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Solution Overview
Problem
Conventional shoe shopping, both online and in-store, is inefficient due to the lack of accurate and user-friendly automated or semi-automated fitting solutions, requiring customers to rely heavily on shopping assistants and repeat the shopping experience for each visit, leading to frustration and inefficiency.
Innovation Solution
A system and method for personalized shopping using an automated shopping assistant that accesses product and user data, including anatomical data, to generate a digital avatar, providing personalized product recommendations and allowing virtual try-ons, and enabling online and in-store ordering of customized products based on user preferences and feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated shopping assistant with digital avatar and anatomical scanning is implemented, then measurement precision and manufacturing precision are improved, but device complexity increases
Solution Approach 1:
The patent creates a digital avatar (a virtual copy) that replicates the user's anatomical characteristics through scanning and data capture. This digital replica enables precise measurements without requiring complex physical measurement tools, as the digital model can be repeatedly measured and analyzed with high precision.
Solution Approach 2:
The system performs anatomical scanning and digital avatar creation in advance before the actual shopping process. This preliminary capture of anatomical data eliminates the need for repeated complex measurements during each shopping visit, improving both precision and efficiency while reducing the apparent complexity during the shopping interaction.
2Adaptability or versatility
If personalized product recommendations and customization are provided, then adaptability and user satisfaction are improved, but device complexity and information processing requirements increase
Solution Approach 1:
The system pre-captures and stores comprehensive anatomical data, user preferences, and shopping history in a digital avatar profile before the shopping process. This preliminary data collection enables rapid personalization and recommendation generation during shopping visits without requiring complex real-time processing, as the system simply queries and matches against the pre-established digital profile.
Solution Approach 2:
The system continuously refines the digital avatar and product recommendations based on user feedback from previous shopping experiences, purchases, and preferences. This feedback loop improves personalization accuracy over time while the system learns user patterns, reducing the complexity of generating personalized recommendations as the system becomes more adept at predicting user needs.
3Ease of operation
If virtual try-on simulation is implemented, then ease of operation and user confidence are improved, but device complexity and computational requirements increase
Solution Approach 1:
The patent uses the digital avatar (a virtual copy of the user) to perform try-on simulations, allowing users to visualize products on themselves without requiring physical try-ons or complex augmented reality hardware. The digital replica enables simple, fast virtual try-ons that can be performed on standard devices, improving ease of operation while managing computational requirements.
4Manufacturing precision
If comprehensive user data collection and matching system are implemented, then manufacturing precision and personalization accuracy are improved, but loss of information and privacy concerns increase
Solution Approach 1:
The system collects and stores comprehensive anatomical and preference data in a digital avatar, creating a secure digital replica of user characteristics. This centralized digital profile enables precise product matching and manufacturing while allowing users to control data access and sharing, potentially reducing privacy concerns through centralized security and user consent mechanisms.
Data Source
AI summary
A system, platform and method for personalized shopping are provided. In some embodiments, a personalized shopping assistant system may include a Point of Sale based automated shopping assistant apparatus, for generating a 3D user shopping profile based on a capture of at least a part of a user's body; a shopping assistant server connected to a shopping assistant database, based in a communications cloud, wherein the user shopping profile is uploaded to the shopping assistant database; a mobile device application for applying the user shopping profile in a store, using the user's mobile device; and multiple product identifiers for enabling the user to capture selected products using the mobile device application, wherein the product identifiers include scannable product data that is stored on the shopping assistant database.