Selectika provides an Agentic AI platform specifically for the Fashion and Lifestyle industries. This platform autonomously enriches product data using computer vision deep learning and integrates this data into PIMs, search engines, and LLM shopping surfaces. The system continuously optimizes on-site experiences through hyper-personalization, visual discovery tools, and trend forecasting capabilities.
Funding
Funding not disclosed
Founders
Product
Problem
Fashion retailers often struggle with inconsistent and inaccurate product data, leading to poor customer experiences and increased return rates. Manually tagging and describing fashion items is time-consuming, costly, and prone to human error, hindering effective catalog management and personalized shopping experiences.
Solution
Selectika offers a visual AI platform that leverages computer vision and deep learning to automate product tagging and description generation for fashion retailers. The platform analyzes images of clothing and accessories to automatically assign over 20 data points to each item, creating consistent and precise product data. This automated process saves retailers time and money while improving the accuracy of their product catalogs. By providing detailed and accurate product information, Selectika enables retailers to enhance the customer experience, personalize recommendations, and optimize their digital sales strategies.
Target Audience
Selectika primarily targets fashion retailers looking to improve their product data, enhance the customer experience, and optimize their digital sales strategies.
Features
- AI-powered auto-tagging that assigns over 20 data points to each fashion item
- Visual search capabilities, including "Shop Similar," "Complete The Look," and "Shop The Look"
- "Find My Size" solution that cross-analyzes fabric composition, design, shopper measurements, and preferences
- Fashion AI Chatbot for conversational commerce and personalized styling advice
- Trends & Forecasting module that predicts future trends with machine learning algorithms
- APIs for stylish recommendations, product enrichment, and auto-tagging
- Integrates with e-commerce websites to transform visual content into shoppable elements