Designovel leverages advanced AI-powered analytics and search features specific to the fashion industry to address the challenges small and medium-sized brands face in adapting to rapidly changing trends. Many brands struggle to keep up with changing customer preferences and market demands with limited resources.

Our solution bridges this gap, providing brands with insights into trends, competitor movements, and customer sentiment through comprehensive analysis of online reviews and comments. We collect extensive fashion data from online sources, specific fashion platforms, and brand sites. This data includes product details, customer reviews, comments, and other relevant fashion content that provides insight into trends and customer preferences.

Retailers can optimize product visibility, refine their inventory based on emerging trends, and offer a highly personalized shopping experience that drives customer engagement and boosts conversion rates. For smaller brands, this translates into a cost-effective way to stay competitive and responsive to market trends.

■ Market Intelligence

- Analyze competitors to find out what products we are missing right now.

- Examine competitor's products and strategies to figure out market positions.

- Analyze customer reviews to gain insight into market needs.

■ Trend Sensing

- By using vector search, we find out historical patterns for demand insights

- Estimate when it is the best time to produce and sell the product in the market

- Compare and analyze factors impacting sales (weather, etc..) with actual sales data

- It supports inventory management, price strategies, and more

■ Image Generation

- By combining images and text (multi-modal embedding), we allow for more creative designs

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