CoSupport AI
What is Selectika?
Selectika provides a comprehensive AI-driven platform tailored for the fashion retail industry. It leverages advanced visual AI and deep learning technologies to optimize various aspects of the online and in-store shopping journey. The platform focuses on treating each shopper individually by delivering personalized experiences at scale. Its capabilities include automating product data enrichment, offering intelligent style recommendations, and predicting upcoming fashion trends.
The technology employs computer vision to automatically analyze product images, extracting detailed descriptions and assigning numerous data points to each item. This facilitates efficient catalog management and enhances product discovery for customers. Furthermore, Selectika integrates solutions for size prediction, conversational commerce via AI chatbots, and tools to make visual content shoppable, aiming to increase conversion rates, average order value, and overall customer satisfaction while reducing returns.
Features
- AI Auto-Tagging: Standardises and enriches product data, automatically assigning over 20 data points per item.
- Find My Size: Recommends sizes by cross-analyzing fabric composition, design, shopper measurements, and preferences.
- Complete The Look: AI stylist curates complementary products aligned with customer taste and budget.
- Shop Similar: Delivers accurate product suggestions tailored to individual customer preferences.
- Shop The Look: Transforms visual content on product pages into clickable, shoppable elements.
- Fashion AI Chatbot: Provides a conversational AI personal stylist that understands customer needs and preferences.
- In-store Experience: Enhances physical stores with digital transformation via smart touch screens.
- Trends & Forecasting: Predicts future fashion trends with high accuracy using machine learning algorithms.
Use Cases
- Automating product catalog tagging for fashion e-commerce.
- Enhancing online product discovery through visual AI.
- Providing personalized style and outfit recommendations.
- Improving size prediction accuracy to reduce returns.
- Increasing customer engagement via AI chatbots.
- Boosting sales by making visual content shoppable.
- Informing inventory and marketing decisions with trend forecasting.
- Integrating digital experiences into brick-and-mortar stores.
FAQs
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How accurate is Selectika's trend forecasting?
Selectika’s machine learning forecasting algorithms predict future trends with 90% accuracy. -
How many data points does the AI Auto-Tagging feature assign to each item?
The AI Auto-Tagging feature assigns more than 20 data points to each item.
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