Fashion & Apparel

<strong>Fashion & Apparel</strong>

In the fashion and apparel industry, innovative technologies are reshaping the way brands design, produce, and connect with customers. AI-powered tools are transforming the design process by analyzing trends, generating personalized recommendations, and even creating virtual garments. Virtual try-on solutions are enhancing the online shopping experience, allowing customers to visualize how clothes will look on them without physically trying them on.

Related Industries

  • Textile Manufacturing
  • Retail & eCommerce
  • Logistics & Transportation
  • Marketing & Advertising
  • Technology
  • Photography & Visual Media
  • Finance & Investment
  • Entertainment
  • Sustainability & Ethical Production
  • Consumers
  • Fashion Designers & Brands
  • Retailers

Key Beneficiaries

  • Overall Industry

Industry-wide challenges we cater

It might be time to upgrade your creative toolkit.

  • How can customers easily find products they want if they struggle to describe them with words?
  • How can shoppers find items based on inspiration from social media or magazines?
  • How can retailers make it easy to discover different styles that match a specific item?
  • How can businesses efficiently identify visual trends within their inventory?
  • How can brands reduce friction for customers who love a product they see out in the real world?

An estimated 30% of all fashion items produced each season go unsold. – State of Fashion Report 2023 by McKinsey

80% of shoppers are more likely to buy from a company that offers personalized experiences. – Epsilon

Around 20% of online fashion purchases are returned, with fit and style mismatch being major reasons for dissatisfaction – Narvar

Ambli Universe Suite Our solutions to overcome the Industry challenges

Intelligent insights. Seamless integration. Multi-format support. Scalability.

Ambli ImageSense

  • Visual Inspiration Search: Customers can start with inspiration from a magazine, social media post, or even a garment they see on the street, and instantly find similar items in your inventory.
  • Style-Based Exploration: Helps shoppers discover alternative options within a desired aesthetic (e.g., bohemian, minimalist, etc.), increasing engagement and potential for additional purchases.
  • “Complete the Look” Recommendations: Suggests complementary pieces (shoes, accessories, other garments) that match the visual style of a product a customer is interested in.

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AI-powered search solutions for eCommerce platforms revolutionize the way customers discover and interact with products online. By leveraging advanced algorithms and machine learning techniques, these solutions enhance search accuracy, provide personalized recommendations, and improve overall user experience. Features include natural language processing for understanding complex search queries, predictive analytics to anticipate user intent, visual search capabilities for finding products based on images, and real-time updates to ensure product availability and pricing accuracy.

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