Analysis
Dynamic Pricing for a Vienna D2C Cosmetics Brand
Overview
What this challenge is about.
Your task is to develop a dynamic pricing model for GlowVienna's top-selling serum. You must analyze historical sales data (provided), competitor pricing, and demand patterns. Propose a pricing algorithm that adjusts prices weekly based on inventory levels and demand forecasts. Success means a projected 10-15% revenue increase without harming brand equity. Deliver a report with pricing rules, a simulation of expected outcomes, and a risk assessment.
The Brief
What you'll do, and what you'll demonstrate.
Design a dynamic pricing strategy for a premium D2C cosmetics brand to maximize revenue while maintaining brand image.
Earning criteria — what you'll demonstrate
- Apply dynamic pricing concepts to a real-world D2C context
- Analyze demand elasticity and price sensitivity
- Integrate competitive pricing intelligence
- Forecast revenue under different pricing scenarios
- Evaluate trade-offs between revenue and brand equity
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
Career mappings coming soon.