Commercial Standardization Platform Ecosystem


White Paper_KR

V 2.01

2020.06.10


1. Abstract

Artificial intelligence technology and big data are regarded as the most potent technologies of all industries. The market size also increases year by year, and new technologies derived from it appear and continue to create the market. TIP aims to build an infrastructure that can be directly experienced through technological innovation, and adopts blockchain as a network for connecting AI and big data. TIP creates a technical and economic ecosystem in services, and plays an intermediary role so that each function and service can be flexibly interlocked.

TIP Coin (hereinafter referred to as TIP) is an ERC-20 based token issued to implement theTIP: TIP: Technology Innovation Project technology innovation project. Create an environment where consumers and producers can autonomously circulate within TIP's service, and allow demand and supply to be regulated through payment and compensation of various functions and services. After establishing the foundation of the service, we expand the business through the infrastructure and partnerships we have, and run the localnet and mainnet to advance into a larger market to further increase the value of TIP and services.


2. Summary

Using advanced technologies, we lead advanced technological innovation projects by entering various industries such as logistics, distribution, ERP, systematic standardization industry, finance, and fintech. The tip will be used in various businesses of the Foundation as a vehicle for technology, network and economic activities.


3. Business

  1. Personalized AI analysis and recommendation service

AI technology is rapidly developing and fulfilling missions throughout our society. Among them, the AI ​​analysis field, which analyzes vast data and shows the best results, is the TIP team's first innovation model. Typical examples include Alphago, Robo-Advisor, and Image Recognition.

Data is the key to AI enhancement. Even with a perfect artificial neural network model, data cleansing cannot be achieved clearly, or it can only produce meaningless results unless it is an effective data group. Even if we look at the results of our recommendation through artificial intelligence and big data analysis, products that are not related to my preference are often recommended. In other words, no matter how much analysis is performed, only the insignificant value appears because the underlying data that is the material are meaningless.

The reason for this phenomenon is that there are many movements that define and approach simple statistics as analysis. Statistics and analysis are completely different areas. If the statistics are past type, extracting repetitive areas for data populations or classifying them according to a specific subject and hypothesis, analysis establishes what the material data (Parameter) means, and applies this data to the algorithm to present, future It is an operation to produce results based on past data so that can be predicted. In other words, statistics connect the past and the present based on the past, and analysis predicts the present and the future with various factors including statistics.

For example, suppose the food that 100 men in their 30s love is pizza. This is a common occurrence in a specific area among accumulated results based on past data. This is less reliable than the population in males in their 30s. However, if you can find out your favorite foods by examining only one man in his 30s, you can recommend a restaurant as well as related foods based on your current favorite food. This is a meaningful analysis and recommendation, and the artificial intelligence recommendation method defined by TIP.

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TIP refers to this recommendation as'Super personalized AI recommendation'. Obtaining material data for AI recommendation is the first step in recommendation. This material data collects preference information that clearly identifies individual preferences. It consists of age, gender, consumption information, visit history, and preference products. After securing such preference data, minimal data for recommendation is constructed.

Collect this data and apply it to the algorithm. The data transmitted in this process is also called a parameter or parameter. The algorithm that receives the argument value is related to the information collected through various functions and passes reliable recommendation information. Since the factor value of recommendation information is preference data collected from only one individual, it can be more reliable than simple analysis values ​​such as simple gender and age. Among them, the reason for collecting gender and age is that teenagers cannot drink, and the older they are, the more data they accumulate, such as finding more healthy foods. Recommendations become possible.

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When the service proceeds with the above structure, the financial industry, wholesale/retail business, and distribution rights are secured, and the basic business base of TIP is created. First, ① Secure a payment ecosystem using TIP. Online payment is supported by TIP payment with credit card, cash, and other online payment methods. In addition, since TIP is a token, a fee lower than that of normal payment is set, and various benefits can be provided. The service supports real-time exchange of tokens and legal currency to increase convenience and lower the accessibility of cryptocurrency.

In addition, ② premium subscription service will be launched along with companies in the service. With the same concept as the annual fee of a credit card, a consumer pays a monthly subscription fee and issues corresponding benefits, higher coupons, and gift certificates. Affiliate companies do not need to issue coupons, stamps, gift certificates, etc. in real life, so they are compensated differentially for consumers who do not incur production costs. This is a virtuous cycle structure that promotes consumer consumption and provides more benefits to consumers. Subscription services are also offered in both Korean Won and Token Payment forms. In the same way as above, when supplying tokens, they can be used at a lower price to regulate supply and demand.

Cryptocurrency payment in the service is TIP and is used as a concept of deduction discount. This is to keep TIP's economic ecosystem safe. In the case of full payment, there is a risk of concentration and monopoly on a specific company. Therefore, a part of the payment amount can be paid with TIP's advanced discount, and TIP can be earned and reused by writing reviews, purchasing, and promotions. Since companies are more likely to immediately exchange cryptocurrency with high volatility, TIPs delivered from consumers are automatically exchanged and received. This is optional, so if you don't want automatic currency exchange, you can receive it fully in cryptocurrency. The value of the token is based on a specific exchange and is priced at the moment the transaction occurs. It is the same system as point payment that is common in online payment.

Initially, the low-access restaurant business, coffee shop, and grocery business are the main targets, and as future preference data accumulates, various services can be recommended.

  1. Self-employment standardization platform

As the industry develops, self-employed businesses and small business owners closest to consumers also change. Among them, the restaurant is the place that receives the market's flow the fastest, and is the place that needs to respond most sensitively and directly to the taste of consumers. The restaurant industry is more basic than any other industry, and it is a strong industry that will continue to exist from a very distant past to the present and to the future. With the development of IT technology and the Internet, industries such as production, distribution, and manufacturing have completed the standardization process and are systematically managed to increase productivity. However, in the restaurant industry, there are no systems or services that can be systematically managed anywhere in the world, including in Korea.

Especially in Korea, the delivery market is better developed than any other country, and their systems are emerging, but food service industries such as restaurants and coffee shops are still experiencing a lack of standardization. Accordingly, TIP aims to make the cryptocurrency payment system a reality and target the realization of services rather than a client-oriented ecosystem.

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The restaurant industry is similar to the service industry, which means that many face to face consumers. Therefore, consumers should be able to access clearly and easily through a structured system. In addition, according to the Korean Standard Industry Classification (KSIC), industry standards are also unclear. For example, it is ambiguous as general restaurant business, other restaurant business, etc., and business owners can also categorize the categories arbitrarily. Since it is not structured like this, it is difficult to use it as statistics and big data in countries and institutions as well as consumer confusion.

TIP's self-employment standardization service aims to integrate fragmented data and is developed as a web and app service that reduces the burden on companies and increases convenience. The information of most search sites or Internet portals is constructed in a form collected by consumer reports or crawling, but cannot be considered as 100% reliable data. The reason is simple. This discrepancy in information is because it is a search service that is intended for information delivery only and is not an intermediary platform for consumers and businesses. In some cases, the company directly reports, but it is difficult for the company to manage it continuously. Typically, price adjustments, business days, and holidays are included.

For example, it is written as a holiday, but it is confused because the nature of the holiday, the region, culture, and people interpret holidays differently. In addition, there is a possibility of doing business even if it is not a public holiday. On the contrary, if it is suddenly closed for some reason on weekdays, it is difficult for consumers to immediately grasp it. It is the consumers and businesses that benefit from this mismatch.

Instantly communicate the flexible situation of the company, and deliver 100% accurate information in conjunction with POS services for consumers to recognize. It is no exaggeration to say that POS contains all the information of the store. Therefore, in order to provide 100% accurate information in real time to the consumer, it is possible to grasp the presence or absence of sales with the payment records of the POS, and accurately determine the presence or absence of sales regardless of any day of the week. This advantage will be able to solve the call phobia, a social culture that avoids calls with the recent spread of smartphones.

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The self-employment standardization platform is connected to the AI recommendation service and becomes a service connecting consumers and businesses. It provides an ideal form of service with artificial intelligence recommendation that is thoroughly tailored to the individual while delivering the company's information clearly and quickly. This is the basic business area of TIP and the basis for utilizing the blockchain economy, and can be used for TIP payment, accumulation, currency exchange, and compensation, respectively.

Standardization platform and AI recommendation criteria Finance, POS, big data, AI and blockchain are connected. In addition, POS and finance can be expanded to distribution, accounting, and production, and by combining this, AI, big data, and blockchain will be upgraded to a new level of technological innovation.

  1. Blockchain POS-ERP system

ERP (Enterprise Resource Planning) is an enterprise-wide resource management system that manages owned assets such as finance, accounting, logistics, and production within the company. Used by most companies except for a few industries that are not directly related to production or distribution. According to Korean IDC data, the domestic ERP market is expected to reach about 280 billion won in 2018. In addition, the trend is gradually evolving, such as maximizing efficiency through the introduction of artificial intelligence, big data, and chatbot technology, one of the core technologies of the fourth industry.

However, ERP is specialized for some industries and companies with scale. Naturally, an industry that is not directly related to logistics or production can manage management indicators or resources without the need for a separate ERP, and for small businesses or businesses, it is sufficient to manage them without using ERP. However, the problem is that it is difficult for self-employed people who have to go through a direct distribution process and manage inventory to use it due to cost or operating conditions even though such a management system is required.

Typically, the restaurant and wholesale and retail businesses use the POS program to handle inventory management and distribution, but due to the lack of functions, practical management is difficult and not standardized, so each program has different support scopes and functions. It does not support accounting, finance, and inventory management to the extent that it is difficult to see it as a resource management program, or it is not systematic and uses a low operating system due to the limitation of the platform. do.

Force is a touch-enabled tablet or computer, a card payment machine, and a storage box, which is recognized as a complete product, which incurs the purchase cost of hardware (including software) and other devices. In addition, POS distributes and manages its own standards in the case of large wholesale and retail companies, but stores that are not tenants have to select and purchase many POSs on the market.

Problems are often developed with poor security operating systems or poor software because of low system requirements. As it is a program and relatively easy to develop, the functions are different for each company and service. In addition, in the case of a separate system of hardware and software, a method of subcontracting or outsourcing is adopted in production, which makes maintenance and management difficult.

To solve the aforementioned problems, we develop a blockchain POS-ERP system. This is a primary target for self-employed or small and medium-sized food service companies. The POS-ERP system supports the basic functions of POS and the functions of logistics management, tax related, accounting, etc. of ERP, and establishes a block network foundation by connecting data such as distribution, inventory, and product information with a blockchain.

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The block data stores information such as store information, products, and inventory, and can be called at any time in various environments, and the service is managed in the cloud to provide double and triple security devices. The POS-ERP system works in conjunction with the Foundation's PBC project. As a whole, artificial intelligence provides advice on the store, controls and manages the blockchain network to access it anywhere, and keeps the store's key information secure.

  1. POS Business Care Service

POS (Point of Sales, hereinafter referred to as'Force') is a system that is absolutely necessary for all shops, businesses, and stores where purchasing activities occur. The domestic POS market has been developed centering on convenience stores, and as the restaurant business has spread, even kiosks, which are directly ordered by consumers, have appeared.

At the present time when the consumption form is diversified, it is difficult to further upgrade the store or increase sales by order management or sales status. Even if you keep a 24-hour shop, it is very difficult to secure objective verification data such as the age, taste, frequency of visits, average payment history, order menu, and time of visit.

Companies and payment gateway (PG) companies collect different data from consumers. To be precise, no more data can be collected. This is because there is no obligation to disclose age, gender, and other company's payment details while eating, and there are no consumers who wish to disclose it. Therefore, it is an environment that cannot be done even if you want to handle a variety of information. Contrary to this, TIP collects consumer's data first and requests information from companies accordingly. From the past to the present, consumers choose and visit themselves, but in the process of finding a business, a lot of time and money is lost. In addition, it is necessary to screen whether the disclosed information is reliable or not.

Likewise, companies must continually improve and provide satisfactory services for their business. A good service has many definitions and examples, but typically includes user experience, products, quality, etc., and is divided into numerous categories in detail. Focusing on only one category does not make a good service. Accordingly, PBC is a service that finds and manages improvement points according to the characteristics of the company and the industry, so that it can become a sustainable development company.

The basic context follows analytics, but it also has the concept of a Robo-Advisor that can give a variety of advice based on this analysis. For example, in order to increase sales, we provide a dashboard that analyzes various factors such as age of visit, time of visit, calculation of unit price, sales trend, market consumption trend, and suggest problems and improvements accordingly. Of course, you can't trust PBC advice 100%, but for all parts of the company, you can see fact-based data at a glance and provide a source of choice to improve or otherwise solve the problem.

As the company's data accumulates, more reliable data accumulates, and as a result, it becomes the best manager who knows the company best. PBC is the most reliable indicator for companies, and it is possible to provide the best service to consumers. Satisfied consumers go beyond purchasing to voluntarily market. This is the customer value of the PBC and becomes a virtuous cycle structure that simultaneously promotes production and consumption. This will create a new paradigm in the existing POS market as the most ideal form in the market economy.

  1. Ultimate business

The ultimate goal of TIP is to connect the above four businesses into one ecosystem to create an organic ecosystem. In other words, it realizes cryptocurrency payment by establishing a system with artificial intelligence client service and standardization platform. This is what TIP seeks.

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Maintain the demand and supply of TIP according to consumer needs. As the platform business area expands, the value of use of TIP grows together. The areas planned so far include finance, restaurants, cafes and games. Even if only the above four areas are firmly established, the area expansion naturally occurs. As it is an intermediary platform that directly and indirectly connects consumers and businesses, it is necessary to consider both the interests of consumers and businesses. TIP is the medium that directly participates in the profit and can best express the nature of the profit and deliver it clearly.

It seems that these standardized intermediary platforms are attempting little by little in Korea. As it is the largest business area, it requires a vast amount of data, and it is a market that can be advanced only by systematically classifying the data. Therefore, in this project, big data is more important than artificial intelligence, and it is the business that continues to do business, but the data is accumulated and how well it is managed and processed into other valid big data. TIP decided to focus on the essence of technology and adopted big data, artificial intelligence, and blockchain as technologies for innovation. As the industry and technology advance, the value of the TIP will also grow together to build the targeted economic system by building talents from various partners and teams.