YesPlz provides an AI-powered fashion product-discovery platform focused on content-based image and text understanding (fashion-trained computer vision and NLP) to power search, recommendations, tagging and personalization for online fashion retailers. The product is modular: retailers can choose one or multiple apps including Deep Product Tagging, Hybrid AI Search (visual + keyword search with embeddings), AI Stylist (ChatGPT-powered conversational personal shopper), Virtual Mannequin Filter (visual interactive filters), Recommendations / Personalization (similar items, complete-the-look, frequently-bought-together, bundles), and Catalog Enrichment (titles, descriptions, translations, SEO content, categorization). Deployment options include a single API, an embeddable widget, and integrations for Shopify, Magento and custom sites. Add-ons include a dedicated project manager, priority support, and custom feature development. Pricing summary (public page): primarily subscription-based and flexible with no annual commitment; pay-as-you-go options are offered for tagging. Public examples: Basic (Bundle) listed at $1,000/month (up to 10K SKUs and up to 10M monthly visits, includes up to 4 solutions), Basic (Single Solution) listed at $500/month (single product/module), and Enterprise pricing is custom/quoted for catalogs >10K SKUs (traffic tier examples such as up to 30M monthly visits were referenced). No free trial is listed on public pages; the ChatGPT Fashion Stylist beta is free to end users while partner pricing is negotiated. Onboarding timeframe is listed as typically from half a day to two weeks depending on business size/complexity. Contact for pricing/sales is [email protected]. Technical and integration notes: integration methods are single API, embeddable widget, or platform integrations (Shopify, Magento, custom). The site states the solution works across layouts and mobile-ready UIs and mentions multilingual SEO support. Data and privacy notes on the public pages indicate customers retain ownership of data and YesPlz handles tagging/ML processing; the public pages do not provide deep data-processing details (a Data Processing Agreement and specifics such as retention, encryption, hosting location, and compliance like GDPR/CCPA should be requested). Recommended onboarding steps from the vendor include sharing a product URL, installing auto-tagging and pre-built apps, and performing a POC/sample tagging for large or low-quality-image catalogs. Claimed outcomes/marketing claims: vendor marketing claims include conversion improvements (up to 3x higher conversions vs traditional search on a homepage example) and examples on pricing/FAQ pages of roughly ~15% sales lift, 1.7x average cart size, and reductions in search exit rate from case-study/testimonial examples. These are vendor claims and should be validated with customer references or verified case-study data. Recommended next steps (as listed): request a tailored quote with exact SKU count and monthly traffic and desired modules; request trial/demo access or sample tagging POC; request API documentation and technical spec (endpoints, authentication, rate limits, latency, response formats, SDKs, and widget options); request data handling and privacy details (retention, encryption, hosting, GDPR/CCPA compliance, and a DPA); request SLA/uptime and support tier details and pricing for dedicated PM; request customer references or anonymized case-study results; request an implementation checklist, timeline, and pricing details for enterprise thresholds, overage charges, discounts, and commitment options.