Vida is a retail platform that utilizes AI-driven tagging, analytics, and 3D visualization to enhance customer engagement and conversion rates while minimizing sampling waste. By providing personalized shopping experiences through its AI Stylist and Virtual TryOn features, Vida addresses the challenges of low ROI and high costs associated with traditional retail technologies.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional retail technologies often struggle with low return on investment and high costs, while customers demand more personalized and engaging shopping experiences. This leads to inefficiencies in the sampling process and difficulties in predicting shopper behavior, ultimately impacting sales and brand loyalty.
Solution
Style by Vida offers a suite of AI-powered solutions, including an AI Stylist, Virtual TryOn, and 3D Fashion/Jewels visualization tools, designed to enhance customer engagement and conversion rates. The AI Stylist provides custom recommendations and facilitates upselling and cross-selling opportunities. The Virtual TryOn feature allows shoppers to visualize products on themselves or models, reducing returns and increasing engagement. The 3D visualization tools enable brands to showcase new designs and gather shopper behavior insights before products hit the stores, minimizing sampling waste and accelerating time to market.
Target Audience
Style by Vida primarily targets fashion and jewelry brands looking to improve customer engagement, reduce sampling waste, and increase sales through AI-powered personalization and 3D visualization technologies.
Features
- AI Stylist: Provides personalized product recommendations and styling advice using AI algorithms.
- Virtual TryOn: Enables customers to virtually try on clothing and jewelry using generative AI, either on a model or their own uploaded image.
- 3D Fashion & Jewels: Creates interactive 3D models of products for online display, allowing customers to explore details and customization options.
- Style Mix Plugin: Allows customers to mix and match different clothing items and accessories in 3D.
- Shopper Behavior Insights: Gathers data on shopper interactions and preferences to inform product development and marketing strategies.
- Integrations: Nudges on WhatsApp and Instagram.