US20250245277
2025-07-31
Physics
G06F16/9535
The invention introduces a system and method to enhance digital interactions and marketing through the integration of advanced data analytics and personalized algorithms. It utilizes body scanning technology and user questionnaires to gather detailed data, creating comprehensive user profiles with the aid of machine learning. These profiles enable precise matching between influencers and businesses based on physical attributes, audience demographics, and content preferences. The system also supports AI-driven marketing personas tailored to specific demographics, enhancing marketing effectiveness and user engagement.
Key features include live shopping integration with social platforms and a novel double-blind review mechanism for transparent feedback between businesses and influencers. The platform supports group profiles, allowing data aggregation from multiple users for family-based shopping with privacy controls. This approach optimizes marketing strategies by continuously refining algorithms using performance data and engagement metrics, significantly improving marketing ROI and personalization in digital interactions.
Traditional methods of capturing physical characteristics often rely on user-reported data or simple photographic inputs, which lack precision. The invention leverages smartphone camera technology to scan detailed physical measurements, creating digital representations of users. However, it addresses the gap in integrating this scanned data with other user-provided information across platforms, enhancing applications such as influencer marketing and targeted advertising.
The platform is designed to support various user types—consumers, influencers, and businesses—with tailored features. Consumers receive personalized product recommendations based on their profiles, while influencers connect with businesses through advanced matching capabilities. Businesses benefit from tools for performance tracking and a double-blind review system for transparent feedback. Group profiles aggregate multiple users' data for tailored recommendations, supporting scenarios like family shopping.
The matching system aligns influencers with businesses by analyzing compatibility through detailed profiles that include physical characteristics from body scans. It assesses audience demographics and content preferences to ensure effective collaborations. Post-campaign feedback and performance data are used to refine algorithms, enhancing future matching accuracy and effectiveness, thereby setting new standards for personalized digital interaction and marketing strategies.