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Million-Dollar Decisions.
Delivered with Clarity.

Your decisions move markets.
We provide the data to make it profitable.

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The Data-Driven Workflow Trusted by Global Retail Leaders
The Data-Driven Workflow
Trusted by Global Retail Leaders

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Every Buyer Faces the Same 3 Problems.

We help you solve them with data, not guesswork.

1

Discover

High-Potential Brands First.

Discover

2

Predict

What Consumers Want Next.

Predict

3

Optimize

Pricing & Inventory.

Optimize

The End of Guesswork. The Future of Retail.
The End of Guesswork.
The Future of Retail.

Support every decision with Data + AI
from trend spotting to SKU-level actions, right when you need it.

Step 1
Discover What’s Rising Across Channels.

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In today's fast-changing market, pinpointing high-growth brands early and securing them isn't just a challenge—it's a vital strategy that transforms everything.
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Challenges

Hard to track new brands across markets.
Takes too long to find missing product.
Hard to evaluate growth potential.

Solution

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Watchlist Dataset from 25+ Marketplaces

See what's rising across global Channels

Download Sample Data (.zip) ↓
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Automated Brand Prioritization

Let GPT sort what’s worth sourcing instantly.

You are a retail buying expert tasked with identifying and sourcing the Next Big Thing — high-growth potential skincare products — ahead of the market.
Using the two provided files:
  • OY_product_lists_skincare (25.05).csv
  • OY_skincare_category_trends (25.05).pdf (or .png)
Please complete the report according to the framework below:
1. Identify “Opportunity Zones”
From the PDF/PNG file, select the Top 5 trend keywords with the highest 6-month SKU growth rate (%).
Briefly explain why each keyword signals a strong opportunity for future product growth.

2. Define & Surface “High-Potential SKUs”
For each of the 5 selected keywords, recommend 2 high-potential SKUs from the Excel file (10 in total), based on the following priority filters:
  • Translate the top trend keyword to Korean automatically and match with similar phrases found in the product name field.
  • Low discount rate (top priority): Products selling well without discounts (< 20% preferred; 0% is ideal).
  • Recent registration: Products launched in the past 6–9 months.
  • High customer satisfaction: Rating of 4.7 or above.
  • Early-stage proof, not saturated: Between 50–1,000 reviews (exclude mature SKUs with thousands of reviews).

3. Report Format
  • Cover Page: List the 5 selected “Opportunity Zone” keywords with one-line rationale each.
  • SKU Slides (10 total): For each recommended SKU, create a single-slide summary including:
    • Product image
    • English product name
    • Launch date (YYYY-MM-DD)
    • 3 associated keywords
    • Review count / Rating
    • Price / Discount rate
    • Why this SKU should be sourced immediately
    • Suggested positioning or retailing strategy for U.S. retail channels

(Write all documents in English.)

Step 2
Predict What Will Actually Sell Through.

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To capture opportunities, we must track changes in supply and consumer demand, then pinpoint our key focus areas.
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Challenges

Which to drop, which to scale?
No room for pilot errors
Trend ≠ Sell-through

Solution

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Product Supply & Consumer Demand Signals

Replace guesswork before your pilot sell-in with data on launches, reviews, pricing, ranks, and keywords.

Download Sample Data (.zip) ↓
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AI-Powered Category Prioritization

Let GPT combine market shifts and internal sales trends — to tell you where to focus.

Dataset
1. OY_skincare_PDRN_overview_analysis (25.05)
2. OY_skincare_PDRN_review_lists (25.05)
3. OY_Essence·Serum_Review-Keywords_PDRN (2025.06.27)

I’d like to identify 2 to 3 subcategories of PDRN products sold in Korea that show strong growth potential.

Please analyze recent supply trends over the past 6 months for each subcategory, including:

- Product count growth rate
- Brand diversity
- Changes in average price range

Then, for each selected subcategory, identify 3 notable SKUs and provide a brief (within 100 words) analysis of their strengths and weaknesses, using both consumer interest indicators and actual review content.

Please also include:

- The most frequently mentioned keywords in reviews (e.g. efficacy, texture, price satisfaction)
- Any repeated concerns or complaints raised by consumers

Step 3
Optimize Pricing & Inventory.

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Setting the optimal price and sales strategy is complex. Effective decision-making demands an integrated understanding of product costs, competitor performance, and the evolving needs of consumers.
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Challenges

Too many SKUs, not enough time to compare.
Unclear which price & product combos work best.
Hard to know which promos worked and why.

Solution

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SKU-Level Data Snapshot

Break down each SKU with structured data — including price history, claims, ratings, review trends, and thumbnail changes.

Download Sample Data (.zip) ↓
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GPT-Driven Pricing & Promo Guidance

Let GPT uncover which combinations actually worked — and suggest optimized pricing, discount timing, and messaging.

Role & Objective:
You are a top-tier Global Beauty Sourcing Strategist at a major retailer like Sephora or Ulta. Your primary objective is to analyze the provided brand and product data to craft a comprehensive sourcing recommendation report for executive leadership. Your analysis must be data-driven, insightful, and lead to a clear, actionable go-to-market strategy.

Input Data for Analysis:
The data for your analysis is contained in the reports within the attached image file. Before beginning your analysis, you must first identify and state the key information from the image in your report: Brand Name, Platform Analyzed, and Data Reference Date.

This data includes:
- The brand's overall trends, category structure, trending keywords, and popular product information.
- Detailed price, review, and rating trends for a specific key product.

Core Question to Answer:
Based on the data, what is the single most strategic product to source first from this brand, and what is the optimal launch strategy (price, inventory, timing) to maximize its success in the global market?

Analysis Framework (Step-by-Step Instructions):
Step 1: Executive Summary - Brand Health & Sourcing Feasibility Analysis

- Begin with a concise executive summary.
- Based on the brand overview report (e.g., change in Top 500 product count, review trends, trending keywords), assess the brand's overall health and market momentum.
- Conclude with a clear 'Go' or 'No-Go' recommendation, briefly explaining the core reasons for your decision.

Step 2: Opportunity Analysis - Category & SKU Prioritization
- Identify the 'Core Category': Analyze the 'Category Structure' section to identify the most competitive category. Justify why this category is the most promising entry point for engaging with the brand, cross-analyzing review counts, number of products, and average price.
- Select the 'Star SKU': Within the chosen Core Category, select the #1 SKU to source first from the 'Trending Products Overview'. Justify your choice based on its dominant review volume, high ratings, and ranking. State the full product name.

Step 3: SKU Deep Dive - Strategic Timing & Pricing
- Now, focus on the detailed report for your selected 'Star SKU'.
- Price Trend Analysis:
- Describe the product's price stability. Identify its typical price range (lowest vs. highest) and its most frequent price point.
- Review & Rating Trend Analysis:
- Analyze if there are specific seasons or promotional periods when review counts spike.
- Cross-reference with the price trend to determine if review surges are linked to promotions or to organic, seasonal demand.
- Assess the stability of the average rating over time.

Step 4: Formulate an Actionable Sourcing & Inventory Strategy
- Synthesize all your analysis into a concrete, actionable plan for global buyers.
- Target Sourcing Price: Recommend a target sourcing price based on historical pricing data.
- Inventory & Timing Strategy: Recommend when and how much inventory to secure, linking your recommendation to promotional cycles and seasonal demand.
- Go-to-Market Strategy: Based on the brand's core keywords and the product's review keywords, propose a core marketing message for the product launch.

Output Format:
Present your analysis in a clean, professional report format using Markdown. Use clear headings for each step, bullet points for key findings, and bold text for critical metrics and conclusions.

Trendier AI Bootcamp

Data + AI Automation

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Spend half a day—walk out with prompts, tools, and real workflows tailored to your brand.
Spend half a day—walk out with prompts, tools,
and real workflows tailored to your brand.

I'm confident our team's market research time will drop tenfold. Plus, learning to design product pages that truly resonate with consumers was a huge win.- Department Manager, Product Planning Team, Hugel
We precisely identified what consumers search for. The immediate strategic proposals from review analysis were impressive.- Brand Manager, Memebox
As a manufacturer, AI felt daunting. Bootcamp gave us clear direction. We learned concrete ways to use market data with GPT to boost efficiency.- Section Chief, Product Planning Team, Ancors
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