Using big data can be more intelligent (viewing table)

Today, the data has become a production factor. Massive consumption big data is like ore resources. Only after being fully excavated can we refine gold from the ore

Friends recently purchased home appliances such as juicers and rice cookers on the e -commerce platform. Who thinks after that, as long as you open the platform, the recommendation page always repeats the juicer and rice cooker. Friends said with emotion: "These are not fast -moving consumer goods. After buying, I will not place an order soon. I feel that the smart economy is not smart, and the big data is a bit stupid."

This is actually the experience of many consumers when shopping online. Sometimes even click "Not interested", big data will still be recommended. If it is a fast consumer product such as paper towels and laundry fluids, there may still be repurchase demand in the short term to enhance consumer stickiness; Open, new demand cannot be formed. This recommendation has become an invalid supply.

In recent years, my country's online retail market has maintained a good growth, and online consumption demand has continued to release. The national online shopping replacement rate in 2021 was 81.2%, a rising for 7 consecutive years. As an important production element on the e -commerce platform, big data can quickly match the two ends of the supply and demand to reduce information acquisition costs, which contains huge value. For example, in the face of a variety of goods, consumers are often difficult to choose. Through big data algorithms, viewing similar recommendations, you can quickly compare the differences in brand, price, performance and other aspects of similar products, so as to choose the most favorite one.

In other words, big data can be more intelligent for bridges for supply and demand.

For consumers, compared to similar products recommended, complementary related products may be closer to demand. For example, you can recommend photo paper when you buy it. You can recommend your mobile phone case when you buy a mobile phone. You can recommend coffee beans when you buy a coffee machine. It can not only increase consumers' willingness to buy, but also attract more effective traffic for the platform.

For producers, big data is also an important basis for investment decisions. At present, personalized, diversified, and quality consumption trends are becoming more and more obvious. Some manufacturing companies have launched products and services that meet their real needs through big data observations for consumer group preferences. For example, the old -fashioned brand seagull enables the sports style for young groups, and is welcomed by the market. Some clothing companies use Haier's industrial Internet platform to shift from batch, standardized to refined and flexible production. Consumers can choose their favorite fabrics, colors and styles, and connect to the factory production line with one click to increase the production efficiency of the enterprise by 25%. The delivery period was shortened from 20 or 30 days to 10 days. Compared with a single manufacturer, Taobao, JD.com, Pinduoduo and other e -commerce platforms have taken root in the consumer Internet, and have a larger user scale and multi -dimensional consumption data. If these platforms can be integrated with the production enterprises and the Industrial Internet, and provide more efficient big data services, it will help manufacturers to discover more market opportunities and achieve efficient changes.

Today, the data has become a production factor. Massive consumption big data is like ore resources. Only after full excavation can we refine gold from the ore. Use the "sharp sword" such as artificial intelligence and other technologies to fully tap the big data "rich mines" and help "make" Chinese manufacturing "to" China Intelligent Manufacturing ". , Realize the transformation of the Chinese market from large to strong.

Source: People's Daily Online

Reporter: Ding Yiting

- END -