How Data Is Redefining Retail: From Online‑Offline Fusion to C2M Growth

Digitalization has entered a fast‑growth phase worldwide; forecasts show the global big‑data market will reach $56 billion in 2020. China’s central government now classifies data as a new production factor alongside labor, land, capital, and technology.

The Ministry of Industry and Information Technology has pledged strong support for 5G, artificial intelligence, industrial internet, IoT, V2X, big data, and blockchain. In the pandemic era, enterprises must rely on data‑driven decision‑making, especially retail firms that should base services on consumer demand, use data mining to reshape production relations, and create value through data‑enabled services.

Data Fusion Breaks the Online‑Offline Barrier

Data as a production factor is eroding the separation between online and offline retail. Suning’s all‑scene smart retail exemplifies this: in Q1 its online platform’s transaction volume grew 12.78% YoY, while Carrefour China’s home‑delivery share rose to nearly 10%.

Suning’s high‑quality growth is powered by digital technologies that deliver a globally leading retail network, personalized “thousand‑faces” marketing, intelligent supply chains, unmanned warehouses, robotics, and digitalized physical stores. Data integration permeates every retail process and scenario.

Online, big‑data capabilities support marketing, membership, content, and multi‑channel operations. The Suning app uses big data to fine‑tune recommendation logic, creating personalized shopping pages for each user. Social e‑commerce initiatives such as “Su Xiao Tuan” and “Suning Promoter” build a community‑traffic matrix, enabling real‑time coverage and precise demand matching.

During the pandemic, digital technology focuses on delivering high‑quality products, services, and experiences. Suning upgraded its management systems, allowing staff to monitor sales and product data in real time via the Suning‑Store+ operations console. The Suning Retail Cloud helped merchants shift to online ordering through mini‑programs, using big data to recommend cleaning appliances and other essentials, making home shopping safer and more convenient.

Leveraging Data to Pivot Supply‑Demand Dynamics

By linking data across all scenes, channels, and customer groups, Suning supports personalized, refined, and intelligent operations, driving a transformation of the entire industry’s marketing model.

In the pandemic, Suning Xinghe Cloud Open Platform provided professional retail solutions and digital tools, offering data analysis, problem diagnosis, and optimization to significantly improve operational efficiency and cut costs.

Data‑driven all‑scene retail proves Suning is not just a retailer but also a technology company. Under the C2M model, retail data drives demand‑oriented production, reshaping the traditional “production‑sales‑user” supply chain into a loop of “user demand → sales feedback → production → sales → user”.

C2M products have become a key growth engine for the retail sector. Suning Retail Cloud’s C2M sales rose 56% in Q1 2020, demonstrating strong, counter‑cyclical performance.

Technology propels industry upgrades and social development, while consumer demand becomes increasingly quality‑ and personalization‑oriented. Effective data‑element management and application will become the new normal for retail development.