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China Merchants Securities blockchain
Publish: 2021-04-24 04:53:28
1. Very bad. The instry is in a mess
blockchain is not easy to do since 18 years ago. The instry is deceptive, professional cut leek. I remember that the blockchain network reported that Li Xiaolai was cutting leeks. Li Xiaolai was going to build a blockchain network, so that their second round of financing had stopped. It was said that they had sold it to a technology company in Guangzhou
blockchain is not easy to do since 18 years ago. The instry is deceptive, professional cut leek. I remember that the blockchain network reported that Li Xiaolai was cutting leeks. Li Xiaolai was going to build a blockchain network, so that their second round of financing had stopped. It was said that they had sold it to a technology company in Guangzhou
2. Yingchi Hall of fame is the top non-public graphics card. Although the time of silent frequency is similar to 1060, the ability of overclocking is much stronger than 1060. The official power consumption is 165W, while 1060 is 120W. After overclocking, the power consumption will be higher. Pay attention to whether the power supply is enough. The price of 900 yuan can be bought, but please note that if you play a stand-alone game, it may explode in some games. As for mining, so to speak, there is no ore card in the 9 series, and the N card mining was started on a large scale in the 10 series. It may have been before, but it's too few. Before the 10 series, they used to dig with a-card.
3. In December 2016, Jinhui finance was approved by the presidium of the financial blockchain cooperation alliance (hereinafter referred to as "jinlianmeng") to join jinlianmeng and become a member of jinlianmeng. Jinlianmeng is a profit-making organization initiated by 25 financial institutions and financial technology enterprises including Anxin securities, Jingdong finance, Chongqing stock transfer center, Ping'an bank, Weizhong bank and China Merchants Securities. It aims to integrate and coordinate financial blockchain technology research resources with technical standards as a link, and form a joint force and coordination mechanism for financial blockchain technology research and application research, Improve the R & D ability of members in the field of blockchain technology, explore, develop and realize the Financial Alliance blockchain suitable for financial institutions, and the application scenarios based on it.
4. Big data will promote the technological change of retail instry
building a powerful data center, realizing the digital connection between online and offline, and reconstructing "people and freight yard" are the important connotation of new retail. Instry insiders pointed out that 2018 will be a year for the rapid development of big data from the technology stage to the application stage. In the future, big data is worthy of attention in the Internet of things, blockchain, smart city, AR, VR, AI, voice recognition and other aspects, which will profoundly change the future of retail instry in the near future<
the application of big data in offline retail has just started
recently, Gaoxin retail released its annual report, with an operating revenue of 102.320 billion yuan in 2017, a year-on-year increase of 1.9%; In 2017, the net profit was 3.020 billion yuan, up 14.9% year on year. This is the first year of Ali's stay in Gaoxin new retail. China Merchants Securities pointed out that although Ali's shareholding in Gaoxin has not brought significant improvement to Gaoxin's performance in the short term, Ali's Internet gene and big data resources have accelerated the online and offline integration of Gaoxin
in the cooperation between Alibaba and Gaoxin, online big data still guides offline commodity management. One million procts of tmall supermarket are put on shelves in 167 stores of 20 cities in East China. These procts are screened by Alibaba big data according to the preferences of surrounding consumers, and the supply scheme is optimized by tmall supply chain. China Merchants Securities pointed out that although the sales of these commodities are good and bad, they have adjusted the operation system and business links of the stores as a whole
based on the advantages of mode and technology, the collection of online retail data and the application of big data technology are quite mature. In contrast, the application of offline retail big data technology is still in its infancy. Pei Liang, President of China chain operation association, once pointed out that the application of big data technology in the retail instry has not yet been brought into play. At present, retail enterprises do not master big data. How to cooperate with enterprises holding big data and jointly start the application of big data in the retail instry is still in the process of exploration
from the development status quo, the first technical difficulty of offline retail application of big data technology is data collection. Experts pointed out that e to technical limitations and more fragmented behavior of consumers, it is difficult to connect offline retail stores with commodity sales, store inventory, logistics and other data based on consumer ID data, especially the acquisition of consumer store behavior preference data
in this regard, retail enterprises with both store advantages and Internet gene will have the advantage. Suning e-buy told China Securities News that the cloud store of Suning e-buy has started to build a "Suning Beidou" system for passenger flow data analysis of offline stores. The launch of the proct marks that Suning e-buy has begun to adopt the traffic operation logic similar to the online page operation in the store end, "from the user's entry into the store and the change of moving line in the store, the analysis of online UV to four level page browsing path will be of great help to the store commodity layout and user habit analysis.". It is estimated that by 2019, Suning e-buy will combine the face recognition system with the Beidou system to make the monitoring data more accurate and provide data basis for the optimization of member service and member operation in the later period
promote technological change in retail instry
Zhang Jindong, chairman of Suning holding group, said that 2018 will be a year of rapid development of big data from the technology stage to the application stage. "In the future, big data deserves attention in the Internet of things, blockchain, smart city, AR, VR, AI, voice recognition and other aspects, which will profoundly change the future of retail instry in the near future."
Cao Lei, director of China e-commerce research center, said that in the past, data was only driven at the sales end and marketing end, and in the future, it will be driven at the commodity end, the supply chain end, the warehousing and logistics end, and even the proction end. In the past, goods and users were the core assets of retailers and e-commerce. In the era of big data, big data will become their core assets
based on the importance of getting through online and offline data, Gome launched dandelion plan in 2017 to integrate Gome online, Gome plus, Gome housekeeper, Gome overseas outsourcing and Gome wine cellar into Gome app, connect online and offline, build a shared retail platform of online transaction and offline experience based on Internet and data. Through the implementation of the dandelion plan, Gome's online and offline supply chain data, transaction data, service data, and member data are fully opened up, converging into Gome's data center, forming a big data factory
with the support of big data, Gome has upgraded its post service system and launched the "sailing plan" to realize the visualization and standardization of the whole cycle of order delivery, installation service, maintenance service and customer service, get through the manufacturer's background data, and create the one click reservation function for warranty maintenance
from the perspective of the whole instry chain, the highest effect of big data will be to realize customization from the proction end. For this, the retail instry has begun to layout. Gome applies big data to the supply chain, and uses c2m reverse customization, horizontal extension of home life categories and intelligent procts to drive accurate proct selection and marketing, so as to form a supplement with the third-party supply chain, improve retail efficiency, meet consumers' demand for quality, personalized and intelligent procts, promote quality upgrading and optimize commodity structure.
building a powerful data center, realizing the digital connection between online and offline, and reconstructing "people and freight yard" are the important connotation of new retail. Instry insiders pointed out that 2018 will be a year for the rapid development of big data from the technology stage to the application stage. In the future, big data is worthy of attention in the Internet of things, blockchain, smart city, AR, VR, AI, voice recognition and other aspects, which will profoundly change the future of retail instry in the near future<
the application of big data in offline retail has just started
recently, Gaoxin retail released its annual report, with an operating revenue of 102.320 billion yuan in 2017, a year-on-year increase of 1.9%; In 2017, the net profit was 3.020 billion yuan, up 14.9% year on year. This is the first year of Ali's stay in Gaoxin new retail. China Merchants Securities pointed out that although Ali's shareholding in Gaoxin has not brought significant improvement to Gaoxin's performance in the short term, Ali's Internet gene and big data resources have accelerated the online and offline integration of Gaoxin
in the cooperation between Alibaba and Gaoxin, online big data still guides offline commodity management. One million procts of tmall supermarket are put on shelves in 167 stores of 20 cities in East China. These procts are screened by Alibaba big data according to the preferences of surrounding consumers, and the supply scheme is optimized by tmall supply chain. China Merchants Securities pointed out that although the sales of these commodities are good and bad, they have adjusted the operation system and business links of the stores as a whole
based on the advantages of mode and technology, the collection of online retail data and the application of big data technology are quite mature. In contrast, the application of offline retail big data technology is still in its infancy. Pei Liang, President of China chain operation association, once pointed out that the application of big data technology in the retail instry has not yet been brought into play. At present, retail enterprises do not master big data. How to cooperate with enterprises holding big data and jointly start the application of big data in the retail instry is still in the process of exploration
from the development status quo, the first technical difficulty of offline retail application of big data technology is data collection. Experts pointed out that e to technical limitations and more fragmented behavior of consumers, it is difficult to connect offline retail stores with commodity sales, store inventory, logistics and other data based on consumer ID data, especially the acquisition of consumer store behavior preference data
in this regard, retail enterprises with both store advantages and Internet gene will have the advantage. Suning e-buy told China Securities News that the cloud store of Suning e-buy has started to build a "Suning Beidou" system for passenger flow data analysis of offline stores. The launch of the proct marks that Suning e-buy has begun to adopt the traffic operation logic similar to the online page operation in the store end, "from the user's entry into the store and the change of moving line in the store, the analysis of online UV to four level page browsing path will be of great help to the store commodity layout and user habit analysis.". It is estimated that by 2019, Suning e-buy will combine the face recognition system with the Beidou system to make the monitoring data more accurate and provide data basis for the optimization of member service and member operation in the later period
promote technological change in retail instry
Zhang Jindong, chairman of Suning holding group, said that 2018 will be a year of rapid development of big data from the technology stage to the application stage. "In the future, big data deserves attention in the Internet of things, blockchain, smart city, AR, VR, AI, voice recognition and other aspects, which will profoundly change the future of retail instry in the near future."
Cao Lei, director of China e-commerce research center, said that in the past, data was only driven at the sales end and marketing end, and in the future, it will be driven at the commodity end, the supply chain end, the warehousing and logistics end, and even the proction end. In the past, goods and users were the core assets of retailers and e-commerce. In the era of big data, big data will become their core assets
based on the importance of getting through online and offline data, Gome launched dandelion plan in 2017 to integrate Gome online, Gome plus, Gome housekeeper, Gome overseas outsourcing and Gome wine cellar into Gome app, connect online and offline, build a shared retail platform of online transaction and offline experience based on Internet and data. Through the implementation of the dandelion plan, Gome's online and offline supply chain data, transaction data, service data, and member data are fully opened up, converging into Gome's data center, forming a big data factory
with the support of big data, Gome has upgraded its post service system and launched the "sailing plan" to realize the visualization and standardization of the whole cycle of order delivery, installation service, maintenance service and customer service, get through the manufacturer's background data, and create the one click reservation function for warranty maintenance
from the perspective of the whole instry chain, the highest effect of big data will be to realize customization from the proction end. For this, the retail instry has begun to layout. Gome applies big data to the supply chain, and uses c2m reverse customization, horizontal extension of home life categories and intelligent procts to drive accurate proct selection and marketing, so as to form a supplement with the third-party supply chain, improve retail efficiency, meet consumers' demand for quality, personalized and intelligent procts, promote quality upgrading and optimize commodity structure.
5. Why do enterprises favor telemarketing robots
1, save labor costs
with the development of the Internet, more and more enterprises carry out network marketing services. However, the traffic dividend of the traditional Internet era has passed away, online bidding is burning money, we media marketing is slow, and the effect of soft text promotion is also decreasing. Traditional telemarketing is still the most basic way of marketing in all walks of life. Combining big data and artificial intelligence technology, telemarketing has become the general trend
however, the traditional manual telemarketing labor cost is too high. A small and medium-sized enterprise focusing on proct sales is likely to set up a telemarketing team of 20-30 people. The cost of salary and training is huge. The construction of a perfect telemarketing robot system, one-time investment, may be a long-term return. At present, a set of E-marketing robot system, ranging from several thousand yuan to tens of thousands of yuan, is 10 times lower than the cost of manual e-marketing team
2. Greatly improve the efficiency
in the traditional e-marketing team, an e-marketing staff is not subject to external interference, and can make up to 200-300 calls a day. The telemarketing robot system can make 1000 or more calls a day, and is not affected by the external environment, so the efficiency is greatly improved. The telemarketing robot can also support technologies such as setting script, hang up, accurate speech recognition, big data intelligent analysis, etc. It can not only make phone calls, but also screen customers, filter invalid information, and analyze the phone results again, connect with CRM system, OA system and other enterprise applications, realize customer analysis, performance management, financial management and other functions, and greatly improve the efficiency
3. Big data makes telemarketing robots work better
enterprises may be most concerned about the effect of telemarketing robots. Telemarketing robot instead of sales staff to do the first call intention customer screening work. In the process of the call, it completely imitates the artificial voice and emotion, and introces it to the target customers. Be able to interact with customers for many rounds and tap their needs. Can take different dialogue strategies according to whether the customer has intention, judge the degree of customer intention immediately after the call, and feed back to the sales experts, who will follow up again. Help enterprises to solve the difficult problem of screening potential customers
another effect of Baiying telephone robot is to support hang up. If you dislike the marketing content, you can hang up directly. Although there may be many phone calls and harassment problems, compared with manual e-marketing, the dislike to customers can be reced to a very low level. Many people have experienced the attack of manual telemarketing. Some powerful telemarketing even makes it difficult for you to hang up, especially ring working hours. It's very distressing to receive such calls. The E-marketing robot does not have such a problem. It will reply accurately according to your answers and questions, without artificial feelings. It can hang up at any time, leaving a way for secondary marketing.
1, save labor costs
with the development of the Internet, more and more enterprises carry out network marketing services. However, the traffic dividend of the traditional Internet era has passed away, online bidding is burning money, we media marketing is slow, and the effect of soft text promotion is also decreasing. Traditional telemarketing is still the most basic way of marketing in all walks of life. Combining big data and artificial intelligence technology, telemarketing has become the general trend
however, the traditional manual telemarketing labor cost is too high. A small and medium-sized enterprise focusing on proct sales is likely to set up a telemarketing team of 20-30 people. The cost of salary and training is huge. The construction of a perfect telemarketing robot system, one-time investment, may be a long-term return. At present, a set of E-marketing robot system, ranging from several thousand yuan to tens of thousands of yuan, is 10 times lower than the cost of manual e-marketing team
2. Greatly improve the efficiency
in the traditional e-marketing team, an e-marketing staff is not subject to external interference, and can make up to 200-300 calls a day. The telemarketing robot system can make 1000 or more calls a day, and is not affected by the external environment, so the efficiency is greatly improved. The telemarketing robot can also support technologies such as setting script, hang up, accurate speech recognition, big data intelligent analysis, etc. It can not only make phone calls, but also screen customers, filter invalid information, and analyze the phone results again, connect with CRM system, OA system and other enterprise applications, realize customer analysis, performance management, financial management and other functions, and greatly improve the efficiency
3. Big data makes telemarketing robots work better
enterprises may be most concerned about the effect of telemarketing robots. Telemarketing robot instead of sales staff to do the first call intention customer screening work. In the process of the call, it completely imitates the artificial voice and emotion, and introces it to the target customers. Be able to interact with customers for many rounds and tap their needs. Can take different dialogue strategies according to whether the customer has intention, judge the degree of customer intention immediately after the call, and feed back to the sales experts, who will follow up again. Help enterprises to solve the difficult problem of screening potential customers
another effect of Baiying telephone robot is to support hang up. If you dislike the marketing content, you can hang up directly. Although there may be many phone calls and harassment problems, compared with manual e-marketing, the dislike to customers can be reced to a very low level. Many people have experienced the attack of manual telemarketing. Some powerful telemarketing even makes it difficult for you to hang up, especially ring working hours. It's very distressing to receive such calls. The E-marketing robot does not have such a problem. It will reply accurately according to your answers and questions, without artificial feelings. It can hang up at any time, leaving a way for secondary marketing.
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