How To Break Through The Traditional Industries In The Era Of Big Data?
Recently, the Chinese General Chamber of Commerce in Singapore invited the domestic
Internet plus
Cao Lei, director of the first series of Internet + think-tank series and director of the China e-Business Research Center, is the subject of the theme.
Big data
Lectures on the era of thinking and typical industry application cases.
The training object is Singapore's international business partnership, Shenzhen Hangzhou research group. Among them, more than 20 leading enterprises in Singapore, such as Lan Huihua, founder of Rolleyes, Liang Bin, chairman of Pbulic N private Ltd, Chen Zhiyao, general manager of Teksavers (S) Pte Ltd, and so on, are all major traditional industries, such as medical configuration, fashion / clothing, trade, logistics, science and technology hardware, electronic identity authentication and so on.
Big data on behalf of the market and consumers speak
In addition to better solving social problems, business data and scientific and technological problems, there is another predictable trend in big data.
Talent is the master of the earth. Most data are related to human beings. We need to solve human problems through big data.
For example, the establishment of a personal data center will bring everyone's daily habits, physical signs, social networks, knowledge and abilities, hobbies, hobbies, and mood swings.
In other words, to record every minute and every second from the moment of birth, save everything except thinking, and these data can be fully utilized.
Medical institutions will monitor the health status of users in real time.
Educational institutions are more targeted in developing user friendly educational training programs.
The service industry provides instant and healthy food and other services that meet users' habits.
Social networking can provide you with the right friends and organize various gatherings for like-minded people.
The government can effectively intervene in the mental health problems of users, prevent suicide and criminal cases.
Financial institutions can help users make effective financial management and provide more effective suggestions and plans for users' funds.
Road traffic, car rental and pportation industry can provide users with more appropriate travel routes and road service arrangements.
With big data layout catering
O2O
Take the green tea restaurant as an example, the green tea restaurant queues for 1-2 hours every day, and develops into 30 chain stores in 5 years, and now 0 stores. The average consumption per person is only 60 yuan, but every shop is profitable.
Why is green tea so hot?
Cao Lei pointed out the seven golden secrets of his successful layout:
1, careful site selection to reduce the risk of closing stores
2, the core: cost-effective to attract a large number of passengers.
3, chain Merchants: skillfully using Internet tools to measure new markets.
4, word of mouth management creates brand effect.
5, big data analysis to improve marketing methods.
6, small details to enhance customer experience: the knowledge of the call system.
7, positioning accurately grasp the catering industry "golden ten years".
Big data analysis of retail industry 020 Breakthrough Road
First, Cao Lei, taking Jingdong as an example, introduces how Internet retailers can get involved in O2O:
JD.COM
Retail O2O now has three product lines: the convenience store drugstore's store mode, the supermarket's fresh mode, and the brand Monopoly chain of clothing, shoes and caps and bags.
Jingdong's O2O product system includes standard commodity database, full channel marketing tool, business backstage management system, membership club, online banking wallet consumer credit and data management platform. Through Jingdong's open interface, it connects the ERP system of large businesses to obtain information about merchants, commodities, members, pactions, after sales and logistics.
Jingdong has also built three logistics platforms to assist O2O business.
The distribution layout of the whole country and the city has been completed. After the completion of the local real-time point to point logistics distribution system, it will help the offline businesses to extend the O2O service of local real-time distribution.
The three systems will provide customers and businesses with personalized logistics services such as "1 hours", "timing up", "15 minute speed up", "door-to-door experience" and "after-sales service near the store", so that consumers can realistically experience the convenient online shopping life brought by O2O.
Second, when it comes to how the department store is O2O, Cao Lei first shows you several sets of data:
China
Electronic Commerce
Research Center (100EC.CN) monitoring data show that in 2013, China's chain department stores had online pactions amounting to 3 billion 960 million yuan, accounting for 1.1% of the total paction volume of chain stores, which accounted for only 0.2% of the total online shopping market, and the share of online shopping market was very low.
In the first half of 2014, the number of retail sales of 100 major large-scale retail enterprises decreased by 0.2% compared to the same period last year, and the growth rate dropped by 10.9% compared with the same period last year. The number of department stores closed to 15 in the first half of this year.
Cao Lei said, therefore, the pformation of traditional retail department stores is imminent.
On the issue of "breakthrough" path selection, Cao Lei pointed out that O2O will be independent of C2C, B2C,
B2B
The blue ocean model outside the platform has great room for development.
Cao Lei said that there are still many problems in the O2O of domestic shopping centers, such as the joint operation system, the poor ability of commodity management, the lack of timely delivery of orders, the lack of professional operation teams, the lack of marketing tools and resources, the low quality of interface design, the lack of user experience and the instability of the technology platform.
In other words, there are many things to learn from abroad: purchasing system is widely practiced abroad, commodity operation ability is strong, purchase technology is widely applied, and information technology is widely applied.
Cao Lei summed up the three pformation trends of O2O in department stores: strengthening information construction, fully realizing single product management, differentiated location of online channels, mobile terminal layout - service is the most important and paction is second.
Department stores do O2O parts, Cao Lei also cited the Wangfujing department store, top grade discount, Wanda case, multi-dimensional analysis of traditional department stores to do O2O mode path.
The students expressed their inspiration.
Finally, Cao Lei, taking Taobao, Ali small loan, Suning, vip.com, rookie network as an example, explains how the electricity providers expand the business with big data.
Ten years focus on promoting the "Internet +" industry.
It is understood that Cao Lei, director of the China e-Business Research Center, is currently an expert in the field of "Internet +" research in China. He is also a visiting professor at Zhejiang University, a professor in chief of the Faculty of Tsinghua University, and an editor in charge of the China Economic Yearbook (e-commerce section) of the State Council Development Research Center, an expert of China's e-commerce expert library, and more than ten books on e-commerce and Internet Finance published and edited. He has been invited to the theme reports of provinces, cities, forums and universities in EMBA.
It is reported that Cao Lei has focused on research and promotion of "Internet +" industrial application for ten years.
As the most popular "Internet +" frontier researchers and promoters in the country, the lead chief editor of the first systematic introduction of "Internet +" series works in China is the initiator of "Internet +" think tank in China. For more than ten years, it has focused on "Internet + industry", electronic commerce, O2O, large data, Internet finance, e-commerce logistics and other "Internet +" application fields.
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