Shein, a clothing brand, is using analytics to design the strategy and planing for 2024. The purpose of this analysis is to help the company enhance customer experience and grow market share focusing on increasing revenue and profitability.
- By reducing employee count by 20% in the Summer months Shein can save $1.1 M per year
- By removing color beige from blouses and shirts Shein can boost Review Rating by 18%
- Providing in-store employee training in the states of New Hampshire and Georgia can bump Review Rating by 9%
- By creating subscription targeted to our women population group Shein can increase market share by 25% and boost revenue by $4 M a year
- Who are Shein Clients?
- What areas in the company need improvement to boost revenue and review ratings?
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This Python file contains a complete analysis and visualization of Shein dataset.
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In this Tableau Dashboard contains the visuals created to present the findings to the executive team.
Besides the recommendations provided in the Executive Summary. Find below the details on the new recommended product launch:
Create a new subscription:
- Target woman between 27 and 58 years old
- The subscription should be recurring every three weeks that is the most used frequency of shopping
- There should be incentive when Paying with Debit Card and PayPal that are the most used payment methods by this population
- The subscription price should start at $70 dollars every three weeks. The average amount of purchase of this segment is only $60. We can bump it by $10
- The shipping type offered in the subscription should be In-store pick up and Free Shipping with additional charges for the other types of shipment
- The subscription should ideally be launched in the Fall that is the strongest season