YesPlz AI

Key Information

Features

• AI stylist with ChatGPT integration for personalized fashion advice
• Visual search and smart filters for product discovery
• Automated product tagging for attribute identification
• Deep product recommendations for similar items
• Enhanced text search with natural language processing
• Seamless integration options through API and widgets
• Advanced security measures for data protection
• Multi-language support across regions
• Comprehensive analytics for performance tracking
• Fashion expert verification from top design schools
• Flexible pricing plans for different business sizes

Pros

• Enhanced shopping experience through virtual mannequin technology
• Smart product discovery with deep tagging capabilities
• Seamless integration with e-commerce platforms
• Real-time personalization using AI technologies
• Multi-language capabilities for global markets

Cons

• Fashion-specific focus limits use to clothing retail
• Learning curve for advanced features
• Technical requirements for AI computations
• Integration time varies by platform

Pricing

• Light Bundle at $1,000/month for up to 2K SKUs
• Medium-Super with flexible pricing for custom SKU limits
• Free trial available for testing features

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What is YesPlz?

YesPlz is an AI-powered fashion discovery platform that transforms how shoppers find and buy clothes online. The platform combines advanced computer vision, natural language processing, and deep learning to make online shopping feel as natural as browsing in a physical store.

The system helps fashion retailers improve their product discovery by offering personalized recommendations, smart filters, and an AI stylist powered by ChatGPT. With its deep product tagging capabilities and virtual mannequin technology, YesPlz makes it simple for shoppers to find exactly what they want without struggling with complex fashion terminology.

Key Features

• AI Stylist with ChatGPT Integration lets shoppers get personalized fashion advice and product suggestions through natural conversation. The stylist understands style preferences, budget constraints, and specific fashion needs to deliver tailored recommendations.
• Visual Search and Smart Filters combine image-based and text-based search capabilities. The Virtual Mannequin Filter helps shoppers visually explore products without needing to know specific fashion terms.
• Automated Product Tagging uses computer vision to identify and tag product attributes like silhouette, color, pattern, and mood in milliseconds, regardless of image quality or background.
• Deep Product Recommendations offer multiple recommendation types including Similar Items, Frequently Bought Together, and Complete the Look suggestions based on design elements and shopper preferences.
• Enhanced Text Search refreshes popular keywords automatically and includes auto-complete with product preview images. The system understands natural language queries and matches them with relevant items in the retailer's catalog.
• Seamless Integration Options allow retailers to connect through API integration, data feed integration, or a JavaScript UI widget. The platform works smoothly with Shopify and other e-commerce platforms.
• Advanced Security Measures protect user data through encryption, access controls, and regular security audits while maintaining compliance with industry standards.
• Multi-Language Support makes the platform accessible to diverse user bases across different regions and markets.
• Comprehensive Analytics help retailers track performance metrics and gain insights into shopper behavior and preferences.
• Fashion Expert Verification ensures accuracy through human oversight from fashion data annotators from top design schools who verify AI-tagged data and update fashion terminology.
• Flexible Pricing Plans accommodate different business sizes, from the Feather 2K Plan for smaller catalogs to custom Medium Plans for larger operations with over 10,000 SKUs.

Main Advantages

• Enhanced Shopping Experience through virtual mannequin technology and AI-powered personalized recommendations that make online shopping feel like in-store browsing.
• Smart Product Discovery with deep product tagging capabilities that automatically identify and categorize fashion attributes in milliseconds.
• Seamless Integration Options with existing e-commerce platforms through API, data feed, or JavaScript widget implementations.
• Real-time Personalization using combined AI technologies to deliver curated clothing recommendations based on shopper preferences and behavior.
• Multi-language Capabilities enable retailers to serve diverse global markets effectively.

Key Limitations

• Fashion-specific Focus makes the platform unsuitable for non-fashion retail categories.
• Learning Curve for retailers implementing advanced features and customization options.
• Technical Requirements need robust system infrastructure to handle AI computations effectively.
• Integration Time varies depending on catalog size and existing platform compatibility.

How much does YesPlz cost?

Light Bundle - $1,000/month

• Up to 2K SKUs
• Deep Product Tagging
• AI Stylist
• Visual Mannequin Filter
• Complete the Look
• Basic Recommendations
• Customer Support

Medium - Super - Flexible Pricing

• Custom SKU limit
• All Light Bundle features
• Advanced Recommendations
• Dedicated Project Manager
• Priority Support
• Custom Features
• API Access

Note: Prices are subject to change. Please check the official website for the most up-to-date prices.

Check YesPlz AI Official Pricing ›

Frequently Asked Questions

1. How does the AI stylist work?

The AI stylist starts with a 4-question fashion quiz to understand preferences about body shape, color choices, style themes, and pattern preferences. After completing the quiz, users receive AI-generated prompt ideas and can interact with the stylist through natural conversation to get personalized product recommendations.

2. What makes YesPlz different from other AI fashion tools?

YesPlz uses a proprietary Fashion Transformer that combines computer vision, generative AI, and natural language processing to deliver personalized recommendations. Unlike other tools that simply match OpenAI responses to product catalogs, YesPlz considers complex styling preferences and remembers previous interactions to provide more accurate suggestions.

3. How long does integration take?

Integration typically takes between half a day to 2 weeks, depending on business size and catalog volume. The process requires only product URLs to implement auto-product tagging and pre-built apps like filters, site search, and recommendation systems.

4. What results can businesses expect?

Businesses using YesPlz have reported a 15% increase in sales, 3x improvement in search exit rates, and 1.7x increase in average cart size. These improvements stem from hyper-targeted product recommendations driven by real customer insights.

5. Who is using YesPlz?

• Fashion retailers and e-commerce platforms seeking to enhance product discovery
• Online clothing stores wanting to provide personalized shopping experiences
• Multi-brand fashion marketplaces looking to improve product categorization
• Boutique retailers aiming to compete with larger platforms
• Department stores modernizing their digital shopping experience
• Fashion brands focusing on personalized customer engagement
• E-commerce businesses targeting improved conversion rates

6. How does the product recommendation system work?

The system uses deep learning to analyze favorited items and browsing behavior. When shoppers click the "heart" button on products they like, these selections are stored under "my favorites." The curation feature then generates customized suggestions based on these preferences, helping expand product discovery while maintaining relevance.

7. What technical support is available?

The platform provides customer support for all users, with dedicated project managers assigned to larger implementations. Support includes integration assistance, troubleshooting, and optimization guidance for the AI features.