Fashion Innovation Awards | 2019 Finalists
Twelve fashion startups make up the finalists of the Fashion Innovation Award. Among them is Wide Eyes, the global Saas leader of visual AI solutions for fashion industry to maximize sales conversions and improve customers.
Loomish SA, a Swiss investment advisory firm specialized in Lifestyle Tech, has announced the 12 finalists of the 2019 Fashion Innovation Award. Selected from 100 international mature AI FashionTech startups, applying Artificial Intelligence to enhance different parts of the Fashion value chain.
The Fashion Innovation Awards is a part of Fashion Innovation Week, organized by Loomish’s partner NetComm Suisse. The event is supported by Google, Bally, Accenture Interactive, NextBit, CRIF and AGIRE. It also has the endorsement of the Lugano City government. This 2nd edition puts focus on Tech and Digital companies who have a specific AI and machine learning solution tailored for any step of the Fashion Retail supply chain including production, inventory management, marketing and customer experience, logistics, etc.
“We are thrilled to be recognized by Loomish as one of the top AI FashionTech companies of the moment” said Luis Manent, CEO & Co-Founder at Wide Eyes. “Finally Fashion has met AI technology and retailers really appreciate the value of solutions like ours. The camera is the new keyboard and retailers needs to connect inspirational visuals with their products”, explains the CEO at Wide Eyes.
This is the shortlist of all finalists for the Fashion Innovation Awards:
Wide Eyes Technologies is a global SaaS leader of visual AI solutions for the Fashion industry. The software transforms an image into a multiple selling opportunity for example by recommending similar or complementary products.
Masha.ai uses Artificial Intelligence and Chatbot technology to connect the brands with the customers at the right time, for the right occasion.
iCoolhunt developed Nextatlas, a unique data platform leveraging proprietary algorithms and AI methodologies to detect new trends likely to become mainstream.
Yosh.ai wants to give every user a virtual personal shopping advisor. With the use of Artificial Intelligence, the machine is taught not only about the user’s tastes, but also about the ways of giving personal advice and providing inspiration for the user.
Tooso developed an API that provides e-commerce sites with text and vocal search to connect consumers with the right products more efficiently and increase the conversions.
Predit develops predictive applications for Fashion & Retail. Predictive analysis can improve merchandise planning based on data gathered from sources such as ERP, technical sheets, pictures, natural language or e-commerce data.
Catchoom’s solution automatically extracts well-structured, SEO-friendly attributes from fashion product images. These tags help marketplaces and brands enable fine-grained filters and produce highly relevant on-site search results.
SPOTT.ai transforms any visual content into an interactive, inspirational and shoppable experience no matter the screen & platform.
Save Your Wardrobe curates an ecosystem of services (selling, repairs, rental…) as a way to monetise idle items their users have in their wardrobes. The algorithm pushes for hyper-personalised products and services to Save Your Wardrobe users.
Sizolution helps fashion e-commerce stores decrease return rate and increase conversion rate through very accurate personalized size and fit assistance to its customers.
Productlead.me helps brands to understand and harness the power of social media, for example with insights about influencer, Instagram users, content with high conversion rates etc.
HUUB is an integrated logistics platform for fashion brands. Their value proposition relies on services aggregation with one contact point, simple and predictable pricing model, economies of scale (30% of average reduction in delivery costs) and full traceability in their platform.