Official Suning Technology account. Explains cutting-edge retail technology and shares Suning's tech practices.
This article explores EOS as a leading Blockchain 3.0 platform, detailing its layered architecture, consensus mechanisms, resource management model, account system, smart contract framework, and how Suning leverages EOS for a scalable distributed data storage solution.
This article analyzes the rapid growth of O2O home‑delivery services, presents Suning Retail Technology Institute’s research on product selection, supply‑chain design, and operational metrics, and offers practical differentiation and localization strategies to make the product supply chain a decisive competitive advantage.
Suning’s senior architect Yang Zhaohui explains how his team rebuilt the tag platform with ClickHouse, using RoaringBitmap and custom optimizations to achieve second-level queries on billions of user tags, dramatically cutting response time, reducing hardware costs, and enabling real-time marketing insights.
This article outlines SuNing's unmanned store technology, comparing its data-driven, product selection, and customer experience advantages over traditional shops, and detailing AI-powered applications such as face detection, target tracking, image recognition, and 3D reconstruction that enable 24‑hour service, intelligent merchandising, and precise customer analytics.
Suning Retail Technology Institute’s extensive research reveals that retail businesses can significantly increase O2O order volume by integrating digital tracking, robust IT embedding, targeted community engagement, incentive‑driven staff KPIs, and replicable operational plans, while leveraging low‑cost customer acquisition tactics and rider‑based trust networks.
Li Yongxiang, technical director at Suning Tech, outlines how AI-driven visual unmanned stores and integrated big‑data, cloud, and edge computing solutions enable low‑cost digital transformation across thousands of retail outlets, improving shopper experience, inventory management, and operational efficiency.
Suning’s 2020 PostgreSQL case study, presented at PostgresConf.CN & PGConf.Asia, details how the company deployed over 4,000 instances, leveraged Citus, JSON, PostGIS and roaringbitmap, and achieved cost savings and smart‑retail capabilities across billing, analytics, location search and user profiling.
This article explains how Suning built a massive user‑tag platform using ClickHouse and RoaringBitmap to enable second‑level user profiling for over 600 million users, covering tag generation, storage, query architecture, and performance optimizations for marketing campaigns.
This lecture details the end‑to‑end AI architecture for unmanned stores, covering algorithm module selection, calibration, face recognition, multi‑task detection, tracking, recommendation, data collection, augmentation, model training, and GPU‑accelerated deployment to achieve real‑time performance and high accuracy.
This article analyzes the rapid expansion of O2O home‑delivery services, presents Suining Retail Technology Institute's research findings on business models, order volume, supply‑chain and fulfillment, and offers practical recommendations for retailers to succeed in the post‑pandemic market.
