Cosmetics Trend Prediction Service Using Tag Extraction
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Solution Overview
Problem
Conventional cosmetics trend analysis methods primarily focus on a supplier-oriented perspective, leading to inefficiencies in new product planning and marketing due to the inability to accurately predict trends from a customer's viewpoint, resulting in reduced market responsiveness.
Innovation Solution
An apparatus and method that provide a cosmetics trend prediction service by extracting tags and keywords from cosmetics-related product and social data, analyzing trends from a customer's perspective, and visualizing predictions in real-time, using a platform server connected to user terminals, which includes a communication unit, preprocessing unit, tag generating unit, keyword extracting unit, and cosmetics trend prediction unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional supplier-oriented trend analysis methods are used, then manufacturers can maintain traditional research processes, but the accuracy of trend prediction and market responsiveness deteriorate
Solution Approach 1:
The patent segments the complex data processing system into distinct functional modules: data collection module, preprocessing module, tag generation module, keyword extraction module, and trend prediction module. Each module handles specific tasks independently, making the overall complex system manageable and maintainable while achieving accurate customer-oriented trend predictions through systematic data processing
Solution Approach 2:
The patent introduces intermediary components such as the preprocessing unit that bridges raw data and analysis results, and the tag/keyword extraction units that mediate between unstructured data and trend predictions. These intermediaries transform complex raw data into structured, analyzable formats, enabling accurate trend prediction without requiring the entire system to handle full complexity at once
2Productivity
If real-time customer-oriented trend analysis is implemented, then market responsiveness improves, but data processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by pre-processing data, generating tags, and extracting keywords in advance before actual trend analysis is needed. This preparation work is done continuously in the background, so when trend prediction is required, the system can quickly produce results using pre-processed data, thereby improving market responsiveness without excessive processing delays
Solution Approach 2:
The system maintains continuous data collection, preprocessing, and analysis operations rather than batch processing. This continuous operation ensures that the system is always ready to provide real-time trend predictions, improving productivity and market responsiveness while distributing computational load over time to avoid excessive processing time at any single moment
Data Source
AI summary
Disclosed is an apparatus for providing a cosmetics trend prediction service, and the apparatus is connected to a user terminal and an external server to receive cosmetics-related product data and cosmetics-related social data, process and process the cosmetics-related product data and the cosmetics-related social data, classify the processed cosmetics-related product data and the cosmetics-related social data to create the corresponding tag, extract a keyword from the tag, extract a keyword from the cosmetics-related product data and the cosmetics-related social data, and analyze and predict a cosmetics trend based on the extracted keyword.