Quick Install and Easy Use : You can easily integrate our personalized recommendation app into your Shopify store even if you lack technical knowledge.
AI-powered Recommendations : DMetaSoul Recommendations is based on AI models that can help users understand products and customers more deeply.
One-stop Personalized Solution : Our personalization app supports a variety of recommendation scenes, such as similar product discovery, collection recommendations, etc.
The DMetaSoul Recommendations is a powerful, user-friendly, one-stop personalization plugin that helps merchants increase sales and improve user experience.
The following recommendations can help your store to increase conversion rate and average order value.
You can put it in different locations such as the homepage, collection page, cart page, and product detail page to give full play to traffic value and improve product exposure.
Our app analyzes and models the customer's browsing history and patterns and automatically recommends relevant products (e.g., on the collection page or cart page) for customers to capture their personalized tastes. Improved conversion rates and average order value are the outcomes of an AI-powered strategy to understand customers and products.
Recommend related products to the currently browsing product to the customer on the product details page. AI-powered methods find related products, so we can understand the products, improve customer experience, and increase store exposure and conversion rates.
Seamless workflow: use directly in Shopify admin
Up-to-date tech: works with the latest themes
[2022/07/19 12:00:00]
湖仓一体作为新一代大数据技术架构,将逐渐取代单一数据湖和数仓架构,成为大数据架构的演进方向。当前已有 DeltaLake、Iceberg、Hudi 等国外开源的数据湖存储框架。LakeSoul 是数元灵科技研发的,国产唯一的开源数据湖存储框架,并于近期发布了 2.
[2022/07/05 12:00:00]
DMetaSoul团队于7月初发布了LakeSoul 2.0版本,对1.
About the Author
Matej Kontros is an E-Commerce expert and app developer with over a decade of professional experience in IT.
Matej has worked for organisations of all types and sizes, including global players, startups, and agencies. He designed, developed, and maintained complex projects.
Matej's expertise includes e-commerce, software engineering, web development, systems administration, internet security, managing projects, and building teams.
Visit his website at [ Web Linkedin ] or contact him at [email protected].