Official Suning Technology account. Explains cutting-edge retail technology and shares Suning's tech practices.
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.
Suning built a multi‑data‑center active‑active solution that combines primary‑backup, same‑city active‑active, and full multi‑active modes, defines top‑level design goals, values and principles, and implements a comprehensive architecture, routing, high‑availability, hybrid‑cloud and disaster‑recovery strategy to support massive e‑commerce growth.
This lecture outlines the key challenges of deep learning in retail—growing model size, speed, and energy consumption—and presents a comprehensive acceleration framework covering algorithmic optimizations like network design, pruning, and hardware acceleration, with practical examples such as MobileNet, model compression, and edge deployment.
This report analyzes how China’s expanding middle‑class drives the rise of integrated retail experience stores, outlines consumer traits, competitive product analysis, and a phased product‑selection methodology that blends extension, modularity, and community concepts to create compelling, multi‑sensory shopping environments.
This lecture details the evolution of product recognition algorithms from traditional image classification to deep‑learning‑based object detection, discusses challenges in dense retail scenes, presents solutions like rotated bounding boxes and multi‑source sensor fusion, and explains practical deployment in digital and unmanned stores.
This article explains how AI‑driven precise customer‑flow algorithms—covering pedestrian detection, full‑scene tracking, and person re‑identification—enable accurate offline traffic analysis, real‑time shopper profiling, and data‑driven store management for modern retail environments.
Facing the post‑pandemic slowdown of e‑commerce growth, SuNing pioneered an O2O “smart retail” strategy by integrating online and offline channels through its “Anytime Business System,” which combines PostGIS‑enabled geospatial analysis, PostgreSQL high‑availability clustering with Citus, and seamless data flow across front‑end, transaction, and support layers.
During the Mid‑Autumn holiday, Carrefour’s Nanjing Bridge store showcased how AI‑driven big‑data analytics, self‑checkout innovations, and smart supply‑chain upgrades are reshaping retail operations, from receipt printing to pre‑packaged produce and rapid home‑delivery services.
This article details Suning’s comprehensive digital transformation of Carrefour China, outlining three implementation phases, the integration of AI, big data and cloud technologies, and the resulting operational efficiencies, sales growth, and enhanced omnichannel retail experience.
SuNing’s fourth‑generation fully digital visual unmanned store combines 3D reconstruction, AI‑driven perception, and modular hardware‑software design to achieve real‑time, all‑scene, all‑time, all‑digital analysis of people, goods, and spaces, enabling precise offline marketing and scalable retail digitization.
