Today's consumers are more aware of both fashion and environmental issues, and they expect businesses to reflect conscious shopping values.

With 81% of global respondents emphasizing business responsibility for environmental impact, fashion e-commerce platforms must adapt to meet these evolving consumer values or risk losing relevance in an increasingly conscientious market.

Another major challenge is the high rate of product returns in the apparel sector, with a significant 26% of consumers returning items, as highlighted by Statista. In women categories these figures attain 50%.

This issue is worsened by the complexities of online clothing shopping, where the lack of live size recommendations and the inability to physically try on items often results in sizing issues and difficulties in matching with existing wardrobe pieces.

As a result, website visitors are not self-assured that it will fit through the seasons and outfits. To promote sustainability, it's not about ending shopping altogether, but ensuring each new item can create at least 7 outfits, as stylists recommend, providing guilt-free pleasure for consumers.

In addition to challenges such as high return rates and changing consumer attitudes, providing real-time assistance to online shoppers remains a critical aspect of e-commerce. From inquiries about sizing to style recommendations, timely and personalized support is essential in alleviating uncertainties and building trust.

Picture this: With just a single click on your e-commerce website extension, we can deliver a seamless experience in mere moments.

Qlode.ai's Innovative Approach

Qlode.ai leads the sustainable fashion revolution with its innovative digital wardrobe solution coping with all the challenges fashion brands face.

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Qlode's digital wardrobe uses the power of AI technology to provide customers with personalized recommendations tailored to their unique style preferences, constitution, heights, and skin color.

By analyzing individual clothing items and user feedback, Qlode's algorithms curate outfit combinations and suggest styling options that resonate with each user's aesthetic sensibilities. This personalized approach enhances the shopping experience and encourages users to make more informed and sustainable fashion choices.

Here’s a brief example of how the Qlode wardrobe selection tool works:

The system avoids suggesting dark blue or black items for individuals with Spring palettes. Purchasing such colors may result in infrequent wear, compromising sustainability goals.

Qlode's Customization Features

Qlode's Wardrobe Selection Tool sets itself apart in the fashion e-commerce landscape with its customization features, thoroughly tailored to meet the diverse needs and occasion based preferences of users. At the heart of Qlode's approach lies a deep understanding of the importance of personalization in enhancing the user experience and fostering long-term engagement.

Why do we do that?

Our primary goal is to help fashion brands navigate the challenges of “free returns” and transition towards a more eco-conscious approach to shopping for their customers.

Factors considered for personalized recommendations

Qlode's AI-powered algorithms analyze a multitude of factors to deliver personalized recommendations that resonate with each user's unique style preferences, body type, and more.

• Parameters shared by users (body build, height, skin color, body measurements).
• Style preferences (based on communication with chatbot and viewed items).
• Seasonal color palette (there are 12).
• Existing wardrobe of customers.

By leveraging advanced data analytics, Qlode ensures that...