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Fashion.AI Documentation

website·Indexed 30 days ago

https://docs.generativecrm.com

Developer and user guides for Fashion.AI, an AI-powered personalization and recommendation platform for e-commerce. Includes technical references for the Customer Profiling API, Product Search API, and Vision Enrichment, as well as guides for product catalog imports via CSV, taxonomy management, and integrations with platforms like Shopify, VTEX, and HubSpot.

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What's inside Fashion.AI

  1. Overview of Fashion.AI Customer Profiling API

    The Fashion AI Profiling service analyzes purchase history, navigation patterns, product preferences, and behavioral insights to automatically generate comprehensive customer profiles. These profiles include style preferences, occasion-based outfit suggestions, marketing guidance, content themes, and current purchase moment analysis for use in marketing, sales, and CRM personalization.

  2. Overview of the Generative CRM Fashion Platform

    The Generative CRM Fashion Platform is an AI-driven toolset designed for fashion retailers to manage and optimize product catalogs. It focuses on four primary areas: catalog enrichment, SEO optimization, personalized recommendations, and semantic search.

  3. Overview of Collections for product showcases

    Collections is a tool used to create and manage custom product showcases for a website. It allows users to build curated product groups, define the specific display order of products, maintain multiple versions of a collection (known as 'slices'), and activate or deactivate these showcases in real-time.

  4. Overview of Fashion.AI Customer Profiling API

    The Fashion.AI Profiling service analyzes purchase history, navigation patterns, product preferences, and behavioral insights to automatically generate comprehensive customer profiles. These profiles include style preferences, occasion-based outfit suggestions, marketing guidance, content themes, and current purchase moment analysis for use in marketing, sales, and CRM personalization.

  6. Overview of AI-powered Smart Search capabilities

    The smart search system uses AI to understand user intent and context rather than relying on exact keyword matches. Key capabilities include:

    • Natural Language Understanding: Processes conversational queries (e.g., "Gift for teenage daughter") to find relevant items.
    • Smart Typo Tolerance: Handles spelling mistakes (e.g., "sneekers" matches "sneakers").
    • Context-Aware Results: Ranks results based on the user's browsing behavior, recent product interactions, and session history.
    • Synonym Recognition: Maps different terms to the same product type (e.g., "Purse", "Handbag", and "Bag" are treated as synonyms).

  7. Overview of WhatsApp Search for commerce

    WhatsApp Search is a specialized conversational commerce feature that enables customers to browse and discover products from a business's entire catalog directly within a WhatsApp chat using natural language. Unlike traditional website search, it returns rich product information—including images, prices, and direct purchase links—formatted specifically for mobile viewing within the chat interface.

  8. Overview of Fashion AI Profiling

    Fashion AI Profiling is an intelligent service that analyzes customer purchasing and browsing behavior to automatically generate detailed, actionable profiles in JSON format. It is designed for marketing, sales, and CRM teams to enable personalization at scale, detect behavioral shifts, and receive concrete recommendations for communication tones and campaign strategies.

  9. Overview of HubSpot Integration capabilities

    The HubSpot integration allows users to sync customer behavioral data to power CRM, email marketing, and automation. Key capabilities include:

    • Syncing behaviors as static or active HubSpot Lists.
    • Enriching contact records with behavioral attributes.
    • Triggering automated nurture campaigns and personalized email campaigns based on behaviors.
    • Dynamically adjusting lead scores based on behavioral segments.
    • Bi-directional sync to keep data fresh across both platforms.

  10. Overview of Customer Behaviors for segmentation

    Behaviors are customer clustering tools used to segment audiences based on shopping patterns, preferences, and lifestyle characteristics. They enable the creation of targeted customer and product groups for CRM campaigns, personalized product recommendations, and data-driven marketing decisions.

  11. Overview of Fashion AI capabilities

    Fashion AI provides a RESTful API platform designed to create personalized shopping experiences through three core capabilities:

    1. Smart Recommendations: An AI system that analyzes customer preferences, purchase history, and trends to suggest personalized products.
    2. Advanced Semantic Search: A search engine utilizing NLP and image analysis to understand natural language queries (e.g., "blue dress for wedding").
    3. Fashion SEO: Automated search engine optimization that applies specialized fashion tags and metadata to improve product visibility and rankings.

  12. Implement Similar Products recommendations

    Similar Products delivers personalized product suggestions based on user navigation history, utilizing over 4,500 product attributes to match a shopper's style and intent. Common use cases include product page recommendations, enhancing category browsing, and creating cross-selling opportunities.