Total Information Volume Trend (Anti-Aging)

Shift Point 1

Early aging care is gaining rapid interest among consumers in their late 20s to early 30s.

Shift Point 2

Demand for high-performance products with ingredients like retinol, peptides, and PDRN is growing.

Shift Point 3

Consumers are sensitive to skin firmness loss and wrinkles from UV, air conditioning, and dryness.

Quetta K-Beauty Insight - Key Strategic Takeaways

Trend foresight, Faster launches, and Smart post-launch care
→ The Core Strengths of Quetta K-Beauty Insight

• Massive Beauty Data

  Automated data collection & analysis of over 550+ brands, 50,000+ products.

• Systematic Data Categorization

  Refined data classification by brand, product, and attribute for deeper insights.

• Collecting 22 million Online Data Points Daily

  Automatically collecting real-time data from reviews, SNS, and e-commerce.

• Trend Early Catching

  Seizing the market early by tracking rapidly rising 'weak signal keywords' with low mentions.

• 20× Faster Insight Compared to before

  Faster insights to accelerate product planning and marketing execution.

• 

  Accurate insights
  delivered 20× faster!

• 
• 

  Planning / marketing strategy
  Boost the Speed!

• 
• 

  Enhance
  Competitiveness!

Instantly adapt to market shifts,

Boost your global market leadership!

• 

  Real-time review collection & AI sentiment analytics

  Automatically collect reviews from multiple channels and detect issues early with AI sentiment analysis.

• 

  Fast recall and renewal decisions

  Use insights to speed up recalls and product updates, reducing response time by over 50%.

• 

  Real-time competitive reputation & mention analytics

  Compare brand and competitor mentions and keywords instantly to guide marketing and product planning.

Through real-time review data monitoring,

Strengthen brand management and
boost market competitiveness!

• 

  Quantifying the Language of Beauty

  Structuring subjective expressions such as ‘hydrating yet
  lightweight’ into data for algorithmic analysis

• Aesthetic Beauty Hidden Within the Flow

  Providing a user experience that emphasizes sensory flow over
  a simple function list

  

Quetta K-Beauty Insight AI Techniques

• 

  1 Intent-Based Unstructured Text Classification Technology

  Our technology accurately classifies unstructured colloquial text based on intent, sentiment, topic, and attribute units.
  Our AI automatically interprets and structures abbreviations and sensory expressions, enabling faster and more precise analysis than humans.

• 

  2 AI-Based Author Type Classification Technology

  AI analyzes context and language patterns to determine whether a review is genuine or promotional. It also quantifies the source to enhance the reliability and precision of the analysis.

USE CASE | Launch of Vegan Powder Pact

• STEP 1. HOT Ingredient Keyword Discovery

  

  Using our platform’s real-time ingredient trend analytics tool,
  we tracked the latest trending ingredient keywords and found that vegan-certified
  ingredients like Calendula and Centella Asiatica extract are ranking among the top in both search volume and mentions.

• STEP 2. Issue Detection Based on Information Volume Trends

  

  Trend analytics of ingredient mentions shows that Calendula-related content has been steadily growing year-round, unaffected by seasonal changes. It’s often associated with terms like “hypoallergenic,” “suitable for sensitive skin,” and “sustainability,” reflecting a strong demand surge, especially among the MZ generation.

• STEP 3. Consumer-Driven Product Planning & Launch

  

  Analytics of community and review data revealed strong consumer demand for a “comfortable skin feel” and a “light, non-cakey vegan powder.” In response, the client launched a vegan powder compact featuring Calendula as the key ingredient. Shortly after launch, the product received over 87% positive feedback on both ingredient quality and texture, securing a successful entry into the market.

Why NEWEN AI?

NEWEN AI provides differentiated AI big data solutions based on
over 20 years of accumulated analysis know-how

Key features

• AI analysis for
  unstructured data

  NLP, NER, LLMS

• Real-time
  Data Preprocessing

  22 million per day

• Specialized AI
  model in 900
  industries

• 150 countries,
  30 languages

The world’s Most Sophisticated! Accurate! Only One!
Unstructured colloquial language big data analytics model

NEWEN AI’s Quetta LLMs language model specialized in unstructured colloquial language analysis,
is the most sophisticated and accurate model in the world, built on over 20 years of accumulated big data.
It provides an optimal environment for online big data analysis.

NEWEN AI Technologies & Analytics

• 

  AI-based Knowledge Information Query Response Technology

  Through AI technologies such as embedding and clustering, it quickly extracts the hidden issues(insights) from big data. It also provides various information necessary for decision-making about trends in issue changes, relationships between issues, and detailed status of issues.
  
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  AI-based Insight Extraction Technology

  Through AI technologies such as embedding and clustering, it quickly extracts the hidden issues(insights) from big data. It also provides various information necessary for decision-making about trends in issue changes, relationships between issues, and detailed status of issues.
  
• 

  AI-based Keyword Extraction Technology

  By applying generative AI technology, it provides the core keywords by understanding the context of the entire document and the user’s intent.
  
• 

  AI-based Image / Video Analytics Technology

  Through Quetta OCR technology, it recognizes structured documents and unstructured data, extracts text considering relationships and structures, and provides functionalities beyond simple image and video analysis.
  

NEWEN AI Clients

550+ Clients 73% of clients have been with RSN
for over 3+ years