The complexity and continuous development of business determines that there is no one or several fixed modes of e-commerce. Various e-commerce models fully reflect the changing needs of the market, and profit space is the basic basis for judging the quality of e-commerce models.
I. Electronic commerce
E-commerce is a business activity using microcomputer technology and network communication technology; Commercial activities with information network technology as the means and commodity exchange as the center; E-commerce is divided into ABC, B2B, B2C, C2C, B2M, M2C, B2A (namely B2G), C2A (namely C2G), O2O, etc.
E-commerce in a broad sense refers to the management activities carried out by using various information technologies, that is, the whole factory technology is used to realize the electronization of the whole business activities.
E-commerce in a narrow sense refers to trading activities conducted by using the Internet.
The purpose of e-commerce is to produce products and services with high efficiency, high efficiency and low cost, and to improve the overall competitiveness of enterprises.
Second, the e-commerce model
E-commerce mode refers to the business operation mode and profit mode based on certain technology under the network environment. Studying and analyzing the classification system of e-commerce mode is helpful to explore new e-commerce mode, provide ideas for e-commerce mode innovation, and also help enterprises to formulate specific e-commerce strategies and implementation steps.
In the process of its development, various e-commerce models have emerged. E-commerce model can establish different classification frameworks from multiple angles. The simplest classification is BtoB, BtoC, CtoC, OtoO and the new BOB mode, but each mode can be subdivided. ?
Second, the basic types of e-commerce model
1. Business to consumer (B2C). B2C refers to enterprises selling products or services to individual consumers through the Internet. This is a form in which consumers directly participate in economic activities by using the Internet, which is similar to electronic retail business.
2. Business to business (B2B) between enterprises. Enterprises can use the Internet or other networks to find the best partner for each transaction and complete all transactions from ordering to settlement.
3. Consumer to consumer (C2C). C2C business platform is to provide an online trading platform for buyers and sellers, so that sellers can actively provide online auction of goods, and buyers can choose their own goods for bidding.
4. Online to offline e-commerce (O2O) is between offline commerce and the Internet. In this way, offline services can attract customers online, consumers can screen services online, and transactions can be settled online, which will soon reach scale. The key of this model is to find consumers online and then take them to real stores.
BOB, the abbreviation of Business-Operator-Business, refers to a new e-commerce model in which suppliers and buyers reach a product or service transaction through operators.
Fourthly, the analysis of e-commerce mode in the era of big data.
The development of e-commerce has experienced three times: the number of users is king, sales volume is king, and data is king. The era of big data has brought opportunities and challenges to the development of e-commerce, and the competition of e-commerce in the future is the competition of data.
(1) data service transformation
In the context of big data, consumers are divided into many groups and provide targeted services to each group or even everyone. The increase of data such as consumer behavior provides the basis for e-commerce to accurately grasp the consumption behavior patterns of user groups and individuals. Through the application of big data, e-commerce can explore personalized, accurate and intelligent advertising push and promotion services, and create a new business model that is superior to the existing promotion forms. In addition, e-commerce can use big data to find more and better ways to increase user stickiness, develop new products and services, and reduce operating costs.
(2) Digital operation
E-commerce operation is more transformed into data-driven operation, and all links within the enterprise use data views to analyze, evaluate and manage. Take Ali as an example, it integrates the resources of its business platforms such as Taobao, Tmall, Alibaba Cloud, Alipay and Wang Wan, and forms a strong e-commerce customer base and the whole industry chain information of consumption behavior. It can carry out operation analysis, commodity analysis, marketing effect analysis, buyer behavior analysis, order analysis, supply chain analysis, industry analysis, financial analysis and forecast analysis.
(3) data capitalization
In the context of big data, "data is assets" has become a core industry trend. In the future, the competition of enterprises will be the competition of scale and activity, and the economic benefits and functions of data will be paid more and more attention by enterprises, thus giving birth to a lot of business about data. "Data becomes assets" is the ubiquitous capital embodiment of the Internet, which makes the role of the Internet not only limited to applications and services themselves, but also has inherent "financial" value. The role of data is no longer just a product of "use value", but a real "value".
(4) Personalized shopping guide service
In the era of Internet popularization, in order to solve the problem of information overload of consumers and guide consumers to buy goods more conveniently, shopping guide system has become a service model provided by many e-commerce enterprises. The so-called shopping guide system is a software system that provides consumers with decision-making suggestions according to their needs, preferences, personal data and historical consumption behavior, such as recommending the goods they want or where to get them. The traditional e-commerce shopping guide service can not only extract and recommend products that consumers have the same preferences, such as hot-selling products, but also push their main products, such as new product recommendation and special price recommendation, to customers according to the promotion intention of enterprises, which can provide better decision support services for customers.
(5) Data products and services
In the context of big data, data has become an asset. All e-commerce companies want to obtain and fully understand the information data of consumers they have obtained in their operations, but they are often unable to analyze and mine big data for technical reasons. Therefore, e-commerce companies with the advantages of platform and technology can take advantage of this advantage to package and market the obtained massive data to enterprises in need, thus opening up a new e-commerce service model. As enterprises have a deeper demand for data under the background of big data, building a bridge between data construction demand and sales will create a new e-commerce model of data service.
(6) vertically subdividing domain services
At present, Taobao occupies most of the domestic e-commerce market share. The rise of small and medium-sized e-commerce enterprises is very difficult. Therefore, in the era of big data, we must grasp every vertical segmentation field and then do it more accurately and professionally in order to win our place. Moreover, the e-commerce platform with vertical fine classification of behaviors is small in scale and low in cost, which can better mine and analyze consumers' information data, thus focusing more on providing professional products and services for professional specific customer groups, better understanding the needs of customers in the industrial chain, and easily improving their services.
Under the background of big data, explosive information resources bring opportunities and challenges to e-commerce enterprises. Through the data mining, analysis and application, more service model innovations will be brought, and consumers will have a better service experience. With the maturity of big data technology and operation, more and better new service models will emerge, thus promoting the development of e-commerce.
The above is the relevant content of Bian Xiao's analysis on the development of e-commerce model in the era of big data. For more information, you can pay attention to Global Ivy and share more dry goods.