At this time for a good formation of the process of small and ordinary business usually use different software to facilitate labor functions. In general, small bosses try to automate the following areas: board and money, accounting and taxes, employee composition and wages, procurement purchases, warehouse, logistics and sales and sales, sales and marketing, CRM. Such applications allow managers to have communication data at a real time of the duration of the main performance indicators.
In this accidental event, the service personnel and employees are automatized in the form of establishing many confirmations with documents, copying information in different formats, operational and time-tested data on the availability of products in the warehouse, that is, there is no need to enter the same communication data each time several times , it is quite complete to do this once.
And such software starts to be intensively created, but in most cases they are standard, simple and do not take into account many aspects of individual companies, at the end they have to resort to personal orders and find good development workers, but then there is a barrier in the form that programmers do not fully understand the whole structure of the communications of the enterprise and its subtleties with understanding.
The effect in the end results in bewilderment on both sides, or it takes a lot of time and money to come to a contract and vision of one functional software supply. The perfect option in this case is the emergence of a set of all the useful tools that are useful in one application to the smallest initial manager who knows everything about the business, but again again he does not know all the programming languages.
And this problem was solved for the solution of the ENGINEER.AI project.
This launch forms a decentralized platform using an artificial mind, where almost anyone can simply and unconsciously develop software for their entrepreneurial activities in a couple of steps without the skill of programming and knowledge of codes.
The introduction of such software, which is personally developed by the manager of the business manager, takes into account all aspects and subtleties of their organization, processes large amounts of information and uses them effectively, lowers the price policy of human labor discipline, causes defective product stocks, modifies with improved conditions for employees.
Ecosystem engineering and technical artificial intelligence works in an extremely elementary algorithm: the customer inevitably needs to pay for the first deposit of NAYA tokens first, the transaction is carried out with the support of contractual agreements for extraction of necessary minerals, which will help to find the desired final end or compensation, then runs to the workload and selects the necessary ones blocks for your software supply, and the final final end is checked by uncontrolled and uncontrollable professionals.
All operations will be carried out using their personal internal token NAYA, and for each software plan an individual mental contract will be born. The digital token helps to reduce commission fees, unlike traditionally accepted master masters, the price for almost one-second subtracts intermediary conductors in the form of banking and electronic payment constructional orders, preserves all data in absolute confidentiality.
As for the prospects of this idea, this team already has a network of 26,000 engineering masters, 3,200 buyers and 23 million revenue. bucks, it allows us to conclude about a large experimental experiment and a worthy solid foundation of the project. The introduction of technical means of blockchain and artificially made intelligence will allow to increase the total number of customers and to conduct global scaling.
More information:
➤ Website https://token.engineer.ai/
➤ Whitepaper https://s3.ap-south-1.amazonaws.com/engineer.ai-demo/Whitepaper+-+Engineer.ai+v4.01.pdf
➤ Telegram group https://t.me/Engineer_ai_Official
➤ Bitcointalk thread https://bitcointalk.org/index.php?topic=5006742
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