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Global Cosmetic Manufacturing Leader - Business Intelligence System for Market Intelligence and Product Analytics

dashbouquet.com

Consumer products & services

Retail

eCommerce

Market Intelligence Challenges in Competitive Cosmetics Industry

The client requires reliable market intelligence across 18 countries and 9 digital marketplaces (including Amazon) to track 21,000+ SKUs. Current challenges include marketplace anti-scraping measures (rate limiting, CAPTCHA, layout changes) and the need for accurate product component/ingredient parsing to support competitive pricing and product development decisions.

About the Client

Multinational manufacturer specializing in skincare and beauty products with global distribution across digital marketplaces

Strategic Objectives for Market Intelligence System

Establish reliable data pipeline for tracking 21,000+ SKUs across 18 countries
Develop AI-powered marketplace data extraction system resistant to layout changes
Implement ingredient recognition system for skincare product analysis
Create historical analytics dashboard for pricing and product trend analysis

Core System Capabilities

AI-driven ingredient recognition for skincare products
Anti-scraping detection avoidance mechanisms
Dynamic layout adaptation for marketplace websites
Weekly market trend analytics generation
Historical pricing data visualization dashboard

Technology Stack Requirements

AWS S3

Kubernetes (K8s)

Apache Airflow

Puppeteer

SpaCy

External System Integrations

Marketplace APIs (Amazon, etc.)
Enterprise Data Warehouses
Business Analytics Tools

System Quality Attributes

High availability (99.9% uptime)
Scalable data processing
Data encryption at rest/transit
Low-latency API responses (<500ms)

Expected Business Outcomes

Enables data-driven decision making for product development and pricing strategy through comprehensive market intelligence. Provides competitive advantage via real-time insights into skincare product trends, ingredient analysis, and pricing dynamics across global markets. Reduces manual data collection efforts by 80% while improving data accuracy and coverage.