The article examines the design shift from the traditional 1688 App to the AI‑native 1688 AI App, detailing how AI‑driven interfaces, system prompts, embedding‑based retrieval, multi‑agent routing, and AI gateways transform B2B product discovery, recommendation, and customization.
This article breaks down complex B2B e‑commerce permission scenarios—including multi‑client authentication, role‑based and identity‑based authorization, and a conceptual model—providing clear design points and practical implementation guidance for secure, scalable systems.
The article explains the company's B2B vertical e‑commerce model, outlines its core service modules, compares B2B and C2C commerce, and details the Java‑based microservice architecture, high‑availability design, and ongoing recruitment efforts.
This article explains why recommendation systems are essential for B2B construction e‑commerce, describes the types of data they rely on, outlines multi‑channel recall methods, details collaborative‑filtering algorithms with similarity calculations, and presents the four‑stage recommendation pipeline from recall to re‑ranking.
The article breaks down the end‑to‑end cash‑flow of B2B e‑commerce transactions, explains the distinction between real and virtual accounts, shows how payment and accounting platforms act as guarantors, and discusses the specific challenges of large‑value and varied‑term settlements in B2B finance.
This case study outlines the 58 Mall project’s background, stage goals, encountered design problems, and the comprehensive strategy—including de‑visualization, card‑based UI, component libraries, templated product pages, low‑cost personalization, and modular design—that enabled rapid, scalable development for a multi‑business B2B platform.
