Introduction
The restaurant industry’s turnover is higher than 2,700 billion USD. Forecasts say that it will increase up to 3,805 billion USD by the end of 2019. Each month new establishments appear, and the existing ones either are reoriented or closed, which increases the demand for relevant information. The influence of the modern information technologies results in the modification of the customer behavior pattern: decrease in the efficiency of traditional marketing tools, used in HoReCA for years; new consumption services cannot be seen without mobile platforms, based on social interaction.
Today, when it comes to choose a restaurant, customers do not just base on the price or the location, but also on friends’ suggestions and look-a-like audience. Matching people similar to the user, by friends’ choice analysis, is one of our objectives using machine learning. It cannot be managed by a separate restaurant or go beyond the jurisdiction core. The hidden induction of restaurant attendance (the nudge strategy or push-up), in compliance with the provided up-to-date information via the internet, allows the owner to decrease the cost of clients’ attraction compared to the traditional marketing tools. These trends lead to decentralization of allocation of marketing budgets while promoting the restaurant. In the context of these changes on the market, hundreds of aggregators appear each year. They propose to restaurant owners chargeable and provisional advertisements, what constrains owners to maintain up-to-date information not only on their own brand platform, such as website or Facebook page, but also on the mentioned aggregators. There is no standardized rules and protocols to communicate with such aggregators, what leads to chaos when engaging them. As a result, whereas the cost of communication supports grows with the amount of information provided via the Internet, the overall efficiency drops. That leads to low satisfaction rates from both customers and restaurant owners.
In conclusion, clients cannot choose the right restaurant for them due to the lack of up-to-date information; restaurant owners do not have an effective tool for delivering reliable information to customers. Issues Based on the experience and personal contacts with restaurant owners, several issues were highlighted that businesses have to face while promoting via mobile apps, aggregators or other platforms of user attraction:
- maintaining the up-to-date restaurant information on all the aggregators
- diversity of content – different aggregators’ supports (different photo, video, text formats)
- legal complexities – necessity of drawing up contracts with each aggregator
- the inability of promoting specific proposals: aggregators propose restaurant promotions without targeting an audience or other benchmarks. For example, a restaurant wants to promote an event for users who attend burger restaurants with an average bill above a certain sum. Bitkom allows to launch more accurate marketing campaigns, aiming a narrowed and targeted audience, thereby, decreasing the restaurant expenses.
- restaurants pay for user coverage in the aggregators’ services, whereas it is more cost-effective to pay for each client or his actions (CPA model - Cost Per Action)
- the complexity of managing content and a promotional agenda while operating through several promotion channels
The main problem any user faces while looking for a restaurant is choosing the right one out of a huge list with tough and mild factors, influencing the user’s choice. Tough factors are those, which can be easily taken in consideration while promoting the restaurant; the distance to the nearest restaurant, time of day when the request is sent to the service and so on. Mild factors are those, depending on the user perception which depends on the context: cuisine, the presence of parking slots, people accompanying the user to the restaurant. None of the existing services can\ effectively propose an offer based on the mild factors. Bellow, here is a study comparing the importance of factors in choosing restaurants:
The Solution we are bringing
Main advantages
For business:
Simple promotional and content management tools;
Ready-to-use solution for cryptocurrency payment for restaurants.
For customers:
Restaurants’ related social network, where user can automatically follow his facebook friends or any other user, for example famous food blogger, and choose restaurants based on their opinions and experience.
Maximizing coverage area: restaurant from any city can add itself to bitkom.io;
Availability of in-app payments with both fiat and crypto currencies.
ICO
Name of the token: Bitkom tokens
Symbol: BTT
Blockchain: Ethereum (ERC-20)
The minimum number of tokens to run the project (softcap): 1 600 000 BTT
Number of tokens per page: unlimited
Minimum conversion in Ethereal: 0.1 ETH
Start: December 30, 2017 (12:00 UTC)
The end: on January 30, 2018 (12:00 UTC)
Number of tokens for ICO: 33 500 000 BTT
Token exchange rate: 1 ETH = 2,500 BTT fiat and crypt money.
ROAD MAP
Meet The amazing team
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We are the best
For more information please vsit
Website: https://bitkom.io/
Whitepaper: https://drive.google.com/file/d/1LGilWbAZo_ogwkbz3gB3XMCHEhjBQl91/view
Twitter: https://twitter.com/bitkom_io
Telegram: https://t.me/joinchat/B0PqQQ1MqSxesCkI5QLilw
Facebook: https://www.facebook.com/bitkom.io
Author: Tosin David
Bitcoin Talk Profile: https://bitcointalk.org/index.php?action=profile;u=1180815
ETH Address: 0xccb98e6af2b1dbe621fbac6b48e6e98811fe1243
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