This case study examines Suning's six‑year digital transformation, detailing how its enterprise architecture evolved and was governed, and reveals the steps traditional retailers take to become successful internet and O2O enterprises in the modern market.
At the 2021 National Retail CIO Conference in Shanghai, Suning’s Director Wang Junjie detailed the company’s AI, big‑data and cloud‑based three‑step digital transformation strategy, its suite of five mature digital products, and its call for partners to extend these solutions across industries.
The article outlines Zhang Jindong’s recommendations for strengthening data security and governance in China, detailing legal background, Suning’s practical measures, and the need for clear data‑sharing attributes to enable safe, efficient public data sharing across industries.
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 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 applies operations‑research‑based traffic allocation to transform saturated e‑commerce traffic into retained value, using unified data, precise flow analysis, and personalized matching of users, products and contexts to maximize efficiency and revenue.
Suning’s 618 shopping festival showcased a massive sales surge backed by its big‑data platform, which processed over 200 billion requests, handled 38.5 PB of daily data, and delivered 31.5 trillion computations, while Kafka and HBase sustained tens of millions of TPS to ensure a seamless consumer experience.
The article examines how Suning and Carrefour use digital transformation, smart supply chains, and O2O integration to accelerate home‑delivery services, offering small retailers a model for cost control, logistics efficiency, and traffic acquisition in the post‑pandemic market.
Amid declining Hadoop usage reports, Suning.com’s 2018‑2020 big‑data platform case study reveals why the retailer still relies on Hadoop’s mature ecosystem, how it integrates HDFS, HBase, YARN, Hive, Spark, Flink and emerging tools, and what future resource‑management plans it envisions.
The 2015 Suning Big Data Meetup in Nanjing gathered industry experts and researchers to showcase Suning's data platform architecture, Intel's Spark advancements, ZTE's DAP system, and a unified Octopus programming model, emphasizing open knowledge sharing and practical big‑data solutions.
This article explains Suning's implementation of a Naive Bayes‑based product classification system, detailing its basic theory, formal definition, step‑by‑step training process, three implementation phases, evaluation results, and error analysis to improve classification accuracy.
In this presentation, seasoned R&D engineer Bian Xuebin, who leads Suning’s object storage platform, shares the design principles and architectural strategies behind Suning’s multi‑tenant object storage system, illustrated through a series of detailed slides.
