Location: Initially available in the DACH region (Germany, Austria, Switzerland)
Purpose: To provide personalized size recommendations based on customers’ body measurements obtained via photos.
Key Features:
Photo Measurement: Customers can take two pictures of themselves in tight-fitting clothing.
Size Prediction: The tool predicts body measurements to help customers select the correct clothing size.
Category Focus: Initially applied to women’s tops, particularly dresses, as this category often presents challenges in finding the right fit.
Potential Benefits:
Reduce size-related returns.
Decrease textile waste by supporting brands to better understand their customers’ sizing needs.
Industry First:
Innovation: This tool is a groundbreaking development in the fashion industry, as no other platform of Zalando’s scale has offered such a personalized size recommendation system.
Customer Assurance & Data Privacy:
Data Management: Photos are deleted after measurements are taken; no images leave the customer’s phone.
User Control: Customers maintain full control over their data-sharing preferences.
Trust Building: Designed to enhance customer relationships by resolving frustrations related to fit discrepancies.
Future Developments:
Integration with Virtual Experiences: Plans to integrate size recommendations with a virtual fitting room experience, potentially creating 3D avatars that accurately depict body shapes based on measurements.
Past Success: Zalando reports a 10% reduction in size-related returns for items utilizing size advice.
Company Background:
Founded: 2008 in Berlin
Overview:
Europe's leading online multi-brand fashion destination.
Supports more than 50 million active customers in 25 markets.
Operates in two areas: Business-to-Consumer (B2C) and Business-to-Business (B2B).
E-commerce Efforts: Zalando aims to enable positive changes in the fashion industry through its ecosystem vision, leveraging logistics, software, and service capabilities for effective brand and retailer support.