区块链消费数据采集系统,区块链消费数据采集平台

A. Open up the manufacturing information island and use blockchain to innovate the assembly line

We know that China, as the "world's factory", is in the world market with its advantages of high quality and low price. occupies an important position. However, China's manufacturing industry is "big but not strong". The biggest problem is that the quality is not guaranteed, which leads to the international evaluation of Chinese products: low quality and cheap. Although there are many mechanisms working hard to promote the quality upgrading of China's manufacturing industry, the effect is very little, and the degree of informatization of traditional enterprises is still not high enough. Without information-based data, the goal of “managing the factory from the office” cannot be achieved at all. Therefore, data informatization is the first step for my country’s traditional manufacturing industry to realize +Internet, and blockchain can be said to be a good weapon.
The LRT distributed digital factory platform is a platform that provides data collection, storage, computing, analysis and product-level solutions for the global digital industry. The main service targets of the platform are manufacturing factories. Using the platform's industrial big data observations, credible industrial figures, and the digital experience value accumulated by the platform, the production methods of traditional factories will be revolutionized and subverted like never before, and production costs will double at a exponential rate. decline, production efficiency will be revolutionized. The purpose of the centralized digital system is to bring together the big data of factories and enterprises, and then allow factories and enterprises to extract and analyze it on a third platform to realize the value of the data. This method is more like aggregating data without actually realizing data sharing. The so-called dataization no longer emphasizes concentration, but connects data on isolated islands in a point-to-point manner, allowing participants to contribute and benefit in different ways.

B. How to use blockchain in new retail

First, use blockchain technology to connect the supply chains of different commodity circulation participants with the blockchain storage system . These include origins, manufacturers, distributors, retailers, brands and consumers. Make each participant's information viewable in the blockchain system.
Secondly, the operators of the blockchain alliance chain are roughly divided into the following categories: alliance chain, automation, visualization, data efficiency, cross-chain bridging. Each link has a complete set of operating mechanisms, and the data chain information has Comprehensiveness, automation, openness, efficiency, rationality and linkage.
This operation and management mechanism is more scientific and rational. Especially in the food industry, taking beef as an example, through the unique traceability code of the purchased beef, consumers can clearly understand the authenticity of the purchased beef and the full traceability information, which greatly enhances trust. At the same time, big data public opinion helps companies carry out smart marketing activities such as brand cultural promotion to maximize the benefits of companies and consumers.
Finally, based on the fact that the retail industry naturally has the remarkable characteristics of fragmented transaction data, diversified transaction nodes, and complicated transaction networks, the collection, storage, and integration of information on commodity production, circulation, and delivery are the end-to-end retail supply chain. The core proposition of management.
Hongqiao Technology uses blockchain to replace the paper model in the existing cross-border trade process, through the integrity and integrity of trusted transaction data.Correlation forms the closed-loop self-verification ability of data on the chain. Improve the document review speed and process operation efficiency in cross-border trade. Customs can directly manage the entire process of cross-border trade, review the transaction process in real time, and quickly and accurately analyze and control risks.

C. What is blockchain technology? What exactly is blockchain?

Blockchain technology is one of the top ten typical judicial technology applications on the Internet. Blockchain is a new application model of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm.

Blockchain is an important concept of Bitcoin. In fact, it is a decentralized database. Blockchain, as the underlying technology of Bitcoin, is a series of data blocks generated using cryptographic methods. Each data block contains a batch of Bitcoin network transaction information, which is used to verify the validity of its information (anti-counterfeiting) and generate the next data block.

Blockchain originated from Bitcoin. On November 1, 2008, a person who called himself Satoshi Nakamoto published the article "Bitcoin: A Peer-to-Peer Electronic Cash System", which elaborated on P2P network technology, encryption technology, timestamp technology, and block technology. The concept of electronic cash system framework such as chain technology marks the birth of Bitcoin.

(3) Extended reading on blockchain consumption data collection:

The birth of blockchain:

The concept of blockchain was first proposed by Satoshi Nakamoto in 2008. In the following years, blockchain became the core component of the electronic currency Bitcoin: a public account for all transactions. By using peer-to-peer networks and distributed timestamp servers, blockchain databases can be autonomously managed.

The blockchain invented for Bitcoin made it the first digital currency to solve the problem of repeated consumption. Bitcoin design has become a source of inspiration for other applications. On December 20, 2016, the Digital Currency Alliance-China FinTech Digital Currency Alliance and FinTech Research Institute were officially established.

D. What does DMTC traceability include?

DMTC mainly uses blockchain technology to integrate resources in the agricultural supply chain, combined with the support of chain soft and hard technologies. Realize that the entire agricultural organic food production process is recordable, verifiable, non-tamperable, and traceable, and completely solve practical problems in agricultural development. It covers three aspects: data collection, data security and data sharing.
In terms of data collection, through artificial intelligence and Internet of Things technology, DMTC runs through the entire agricultural ecological chain. During agricultural production, it fully automatically records agricultural product production environment data, production process data, transportation, sales, and consumer behavior. data.

In terms of data security, through network equipment and the Internet of Agricultural Things (IOA), the existing tracking and traceability IT architecture is used to maintain system security.
In terms of data sharing, the data collected throughout the DMTC process can be shared conditionally.Share production and transportation data with users in the entire supply chain of ecological agriculture and consumers, trace the ins and outs of products, and guide agricultural producers to adjust production directions and improve production efficiency.

E. Blockchain Mall

Chengxiang Technology builds an e-commerce ecosystem based on blockchain technology and builds a decentralized business ecosystem. By connecting the value of digital assets and physical business, we can perfectly combine powerful offline experiential services with efficient blockchain Internet finance to provide users and merchants with more efficient and valuable smart services and realize commercial services. blockchain transformation.

Characteristics of the blockchain mall: The mall combines the decentralized, trustworthy, and non-tamperable characteristics of the blockchain to solve many problems of the traditional e-commerce model, in terms of payment, incentives, transactions, marketing, etc. In this aspect, it greatly enhances the commercial value of the e-commerce model.

Digital asset payment: conduct commodity transactions through all or part of digital assets, create digital asset value standards and offline usage scenarios, and solve the financial settlement, cross-border commerce, and information flow of major e-commerce companies. Problems

Blockchain candy incentives: Use blockchain candy to incentivize users’ promotion and purchase behaviors. Through value shaping, the incentives are made more attractive and stimulate users’ enthusiasm for independent promotion

User data marketing: Collect user consumption data on the mall, and encrypt and store the data through the blockchain. Users can independently choose the opening, authorization and transaction of personal data and share value from it, truly returning data ownership to the public

Blockchain mall application scenarios

Shopping rebates : Users can return digital assets when making purchases in the mall, thereby stimulating users to spend more

Digital asset payment: Users can use digital assets to deduct all or part of the amount when consuming in the mall, thereby realizing digital assets offline Extension of consumption scenarios

User invitation rewards: Users can receive digital asset rewards after inviting others to register, which can encourage users to independently develop other users

User data marketing: The user's consumption browsing data is recorded on the blockchain and cooperates with data marketing agencies. Users who use the data can also be rewarded with digital assets

Product reviews are trustworthy: the user's products The review data is recorded on the blockchain, making the product review data non-tamperable, authentic and trustworthy

Smart contract guaranteed transactions: guaranteed transactions through the trustworthiness of smart contracts

Merchant integrity system: All transaction information, comments, and after-sales information of merchants are recorded on the blockchain. The information is authentic and credible, improving the integrity of merchants

F. How to attract consumersAuthor: Reshape consumer interaction with applied intelligence

Many brands are finding it increasingly difficult to attract consumers, and traditional strategies are failing. But the integrated application of big data, analytics, artificial intelligence, and automation, which we call “applied intelligence,” is opening another door for companies to win over consumers.

A company’s ability to achieve hyper-personalization and on-demand delivery is as important as the products it produces.

The ability to meet the needs of each consumer at a specific time and situation is the new hallmark of competitive advantage.

Providing real-time, relevant, consistent and pleasant consumer experiences in every aspect of interaction with consumers is the key to differentiation.

Simply put, Applied Intelligence is a smarter, faster and more effective way to collect, process and analyze data and create insights. It can be used to help businesses identify clear opportunities for action and, where possible, automate these tasks to unlock business value.

Applied intelligence consists of three intertwined solutions: data analytics, artificial intelligence and automation.

Change 1. Data dimensionality

The collection of consumption data from online and offline channels, ubiquitous cameras, sensor devices and smart devices, as well as third-party data platforms, make consumer products Companies have access to consumer data assets that were previously unimaginable.

Digital and intelligent technologies are assisting more and more consumer goods companies to obtain online and offline omni-channel consumer data. In stores, artificial intelligence can help companies obtain real-time data and in-depth analysis. Offline data reporting in the past days, weeks, and months can be shortened to real-time reporting in hours or even minutes. Online, from social media to e-commerce platforms, companies have the opportunity to receive and analyze consumer opinions and feedback at every touch point. Platform companies with a large number of users, such as BAT, have natural data advantages. Cooperating with them to build and expand consumer databases also provides new data sources for consumer goods companies. In addition, with the development of intelligent consumer products, the products themselves are becoming another important channel for obtaining consumption data.

The popularity of smartphones, ubiquitous cameras, and sensors can help enterprises obtain deeper and real-time response data. For example, cameras with emotion recognition functions in stores can capture consumers' first impressions of products at the first opportunity. Some brands have also begun to try to use eye-tracking technology to understand consumers' preferences for their product packaging and categories. , and accordingly improve product packaging design and adjust categories.

The data center collects multi-source data and capitalizes the data, which can integrate internal and external data of the enterprise and make better use of analysis tools such as AI and Analytics to conduct in-depth analysis and analysis of these data. Value development, which provides new possibilities and breakthroughs for high-quality consumer interaction. For example, AI can use algorithms toMulti-dimensional data such as product functions, user characteristics, environmental characteristics, and collaborative characteristics are combined to recommend the most suitable products for users in specific scenarios.

Change 2. Fluid personalization

Applied intelligence is driving personalization to a new level. Ultra-fine-grained personalization runs through the entire consumer interaction journey, bringing consumers a ubiquitous and real-time updated mobile personalized experience.

As consumers’ needs for personalization increase, the requirements for the degree of personalization are also increasing. Intelligent applications not only help companies reduce consumer interaction costs, but also enable ultra-fine-grained customization through intelligent supply chains that rapidly iterate according to consumer needs, meeting the personalized needs of thousands of people. Consumers can choose the powder that suits them from tens of thousands of colors, the taste of the beer they buy can be improved in real time, and the 3D printed facial mask can ensure that the purchased mask perfectly fits their face shape.

Machine vision, emotion recognition, speech recognition, sensors and other intelligent technologies that can track and analyze consumer status have promoted the development of intelligent consumer products and given new meaning to personalized customization. The products purchased by consumers have their own customization functions, which can be continuously adjusted and customized at any time according to the consumer's personal situation and even the surrounding environment. For example, pressed powder is becoming a skin printer, which can make subtle modifications and changes to the skin; skin care products are becoming skin care product manufacturing machines, and consumers can adjust the formula at home according to the skin condition of the day.

Change 3. Innovation of human-computer interaction experience

Big data and intelligent technology can achieve more efficient customer interaction by collaborating or even replacing human labor, although consumers sometimes still complain about it It’s not perfect, but the development of smart technologies such as AR/VR, voice, and image recognition is pushing the virtual interactive experience to be infinitely closer to the real world.

With the help of intelligent technology and concrete interaction methods, the interaction between consumer goods companies and consumers will become more real and three-dimensional. "Nurture-type" AI virtual idols have the ability to learn on their own and can grow with consumers, becoming a new force driving the fan economy.

With its immersive interactive experience and online and offline linkage, AR technology has become the new favorite of Budweiser, Pepsi, Burger King and other companies in recent years. Especially during the epidemic, AR technology has become an effective channel for brands to communicate with users at home. During this period, Snapchat’s AR filter ads successfully attracted well-known companies such as L’Oréal and Universal Pictures.

5G is bringing highlight moments to VR and AR, allowing products to be more realistically displayed in front of consumers, allowing them to have an immersive shopping and consumption experience. Different from previous mobile communication technologies, 5G can not only support voice and visual interaction, but also add "tactile" scene interaction. For example, online shopping will no longer just be about virtual fitting and sensing the wearing effect, but also the ability to sense the texture of clothes through the Internet of Things.

Change 4. Products become interactive ambassadors

The application of smart technology in the consumer goods industry is mostly in the fields of production, supply chain and digital marketing. However, more and more consumer products are becoming technological, from beauty to cosmetics. From personal care, home care to sportswear, smart consumer products can be seen everywhere.

The intelligence of products makes physical items become part of information interaction. While expanding the functional attributes of products, it also changes the relationship between enterprises and consumers. The data collected from smart products can be fed back in time and updated in real time throughout the product life cycle. Consumers will no longer just be users of products and services, but also co-developers of products.

The mature applications of intelligent voice technology and natural language processing (NLP) have empowered a large number of terminal consumer products with voice interaction functions. With the dawn of the era of smart life, artificial intelligence smart products will move from machine-centered human-computer interaction to human-centered intelligent interaction. From the current most mainstream voice interaction, it has gradually upgraded to emotional interaction, somatosensory interaction, and even super interaction of brain-computer connection.

All aspects of life, ranging from beauty and personal care, clothing, home care, to home appliances, vehicles, and even the house itself are all undergoing intelligent evolution. For consumer products companies to achieve truly intelligent products, they must rely on the collection and data sharing of multiple intelligent hardware devices. In the era of smart life, the large-scale application of smart products requires active ecological cooperation among enterprises.

Being people-oriented, data-led, and technology-driven is the key to applying intelligence to reshape consumer interaction.

Value-oriented AI interaction strategy

• Prioritize the use of intelligent technologies based on value potential;

• Rapidly design product and service prototypes.

Unleashing the value of consumer data

• Comprehensive data collection, dismantling data silos and unlocking data value;

• Leveraging IoT to control real-time consumer data flows.

Embrace new data science

• Adopt advanced algorithms, such as AI, machine learning, Internet of Things, blockchain, etc.;

• In an agile environment for rapid product testing and iteration.

Design new user experience

• Embed application intelligence into the entire consumer interaction journey;

• Innovate AI consumer interactive experience with the “consumer” as the center .

Practicing ethical AI

• Ensure the stability, security and traceability of intelligent systems;

• Protect consumer privacy and security.

(The views of the report belong to the original author and are for reference only. Report producer/author: Accenture)

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G. Can all data on the Internet be managed using blockchain?

Yes. However, we are still facing many problems, such as the issue of data ownership. Judging from the current business model, Internet technology giants have more advantages in data collection and scale. The application of blockchain on the Internet can be said to be ubiquitous, so it is best to apply it to the integration of Internet data.

H. What is the value of blockchain agriculture? What opportunities and development can blockchain bring to agriculture?

The value of blockchain lies in security. What are the benefits of blockchain agriculture? The value is for food safety, and these data play a very important reference role in the reproduction of agricultural products.
With the development of value-oriented agriculture, precision agriculture and centralized agricultural systems, this blockchain technology will promote the continuous development of the agricultural industry, and its technology can also bring more jobs.
Blockchain agriculture has already existed, but some areas are not mature enough, especially the traceability aspect. However, the launch of a Dmtc agricultural traceability project this year has filled this gap.
In terms of data collection, through the use of artificial intelligence and Internet of Things technology, it runs through the entire agricultural ecological chain. During agricultural production, the production environment data and production process data of agricultural products are fully automatically recorded. When agricultural products are transported, they are fully automatically recorded. For transportation data, DMTC terminals are connected to smart micromarkets during sales to collect consumption behavior data of product consumers. Through the popularization of smart micromarkets, terminals are spread throughout living quarters, collecting rich data for industrial development and progress, and more fully carrying the value of the agricultural ecological chain. Transmission and information transfer