Go-Eve
Product ExperienceBusiness RulingGo Eve website
  • GO-EVE PLATFORM
    • Platform and Welcome
    • Business Case Best Practices
    • Feature Overview
  • Commerce
    • Overview
    • Customers
      • Customer Management
      • Login & Registration
    • Catalog
      • Categories
      • Products
    • Pricing
    • Orders & Quotation
      • Cart
      • Checkout
      • Orders
      • Quotation
      • Invoicing
      • Shipping & Delivery
      • Payment (PSP providers)
      • Data Export
  • Content & Marketing
    • Overview
    • Design & Layout
    • Multi Website
    • Content
      • Languages
      • Navigation
      • Pages
      • Blocks
      • Editorial Widgets
      • Media Library
  • SEO & Structured Data
  • PRODUCT EXPERIENCE
    • Product Configurator
      • Design & Layout
      • 3D Render Interaction
      • Image Layering Engine
      • User Interface Controls
      • Models
      • Presets
      • Load & Save Configuration
        • Share Configuration
      • Configurator Bundle Packages
      • Price Management and Calculation
      • Validation
      • PDF Generation
      • Snapshots
    • 3D Product Experience
  • Business rules & Personalization
    • Business Manager
    • Data Entity Management
    • Personalization
      • Data Input
      • Rules Engine
      • Personalization Actions
  • DATA & CONNECTIVITY
    • Headless Composable API Driven
    • React PWA
    • Data Queue For High Traffic
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  1. Commerce

Customers

The Go Eve platform offers customers many features, transforming shopping into an effortless and enjoyable experience. Customer accounts are maintained with data such as first name, last name, email, phone number and can have various additional data fields. Customers can be grouped into a certain role giving them certain rights or restrictions. In the core Magento engine many fields are available by default, allowing users to login and place orders. The platform's Business Manager contains a data entity manager which allows for additional data to be stored for customer types. This data can be used for instance to facilitate ecommerce personalization, customer specific stores or other business ruling.

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Last updated 2 months ago