YesPlz AI favicon YesPlz AI VS Selectika favicon Selectika

YesPlz AI

YesPlz AI offers a comprehensive suite of AI-powered solutions designed specifically for the fashion industry. The platform leverages multi-modal AI to understand both images and text, providing unparalleled accuracy in product search and recommendations.

By digitizing product catalogs and enriching them with detailed attributes, YesPlz AI helps businesses connect shoppers with their ideal style matches, improving the overall shopping experience and driving significant increases in conversion rates.

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.

Pricing

YesPlz AI Pricing

Contact for Pricing

YesPlz AI offers Contact for Pricing pricing .

Selectika Pricing

Contact for Pricing

Selectika offers Contact for Pricing pricing .

Features

YesPlz AI

  • Fashion AI Search: Boosts conversion rates by delivering accurate and relevant search results in e-commerce.
  • Fashion AI Recommendations: Provides personalized product suggestions based on shoppers' unique style preferences.
  • Fashion AI Data: Digitizes product catalogs and enriches them with detailed attributes using deep tagging, translation, and description generation.
  • Virtual Mannequin Filter: A unique search tool allowing users to find clothing based on specific styles.
  • ChatGPT Fashion Stylist: Provides styling advice and personalized recommendations.
  • Enhanced Text Search: Delivers unparalleled accuracy and relevance in e-commerce.

Selectika

  • 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

YesPlz AI Use Cases

  • Improving product search accuracy on fashion e-commerce platforms
  • Providing personalized product recommendations to online shoppers
  • Automating product tagging and attribute enrichment for large catalogs
  • Enhancing the overall shopping experience with AI-powered styling advice
  • Digitizing product catalogs

Selectika 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.

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