The Financial service bank started in Telegram a chat service based on RS-Bot

The Financial service bank started the chat-bot created by specialists of developer and integrator of the financial software in Telegram — service as the additional channel intends to apply R-Style Softlab. Bank companies to bank communications with clients.

The chat-bot of the Financial service Bank is created based on the solution RS-Bot providing high quality of communications of bank and the client in different channels — messengers, social networks, the RBS systems, the websites. He is capable to recognize text messages and also voice commands. A system will answer all users questions of the opportunities, services of bank, a location of the nearest offices and ATMs, currency rates. Broader set of services is available to clients of bank: having authorized via the menu button, they can pay services in in advance prepared templates, quickly obtain statements and other information on the transactions, accounts and bank cards.

For the purpose of ensuring secure access to confidential personal and financial data in the implemented solution the two-factor model of authentication when the user at first enters the PIN code (password) is used and in addition confirms it with the code received by the SMS.

During creation of the chat-bot the developer placed emphasis on dialogue opportunities. In the solution methods of deep linguistic analysis, natural languag processing are applied (Natural Language Processing; NLP), uses the machine trained syntax analyzer (Machine Learning technology). What is important, the bot does not need large volumes of data for training, but at the same time is capable to give qualitative answers to it is unclear formulated questions in a chat at the expense of high number of the preconfigured templates and rules. The company minimized the menu - the focused (button) part of the chat-bot. In it only three basic options are provided — to tell data for authorization, to report a geolocation, to find out what a system is able to do (this function is also available through dialog). The user obtains all other information using message exchange.

The majority of financial bots which are presented at the market today — interface, i.e. are created by the principle of the menu - the focused (button) model. It has a massive fault: representation of broad set of banking products and services in a system requires implementation of the multilevel branched menu difficult for perception of the client — Rinat Karimov, the director of the department of banking software of RS-Bank noted. — Our company offered the Financial service Bank essentially other bank chat-bot capable to conduct natural dialogue with the user.

Service already began the work, it became excellent addition to more usual bank methods of customer interaction. Introduction of the chat-bot gives the chance to all clients of bank, including youth audience, to obtain information by method, convenient for them, much quicker, than by means of a call to call center. Communication in a chat is comfortable and usual, and it is not necessary to wait for the answer to a question — Yury Dyachkov, the development director of retail business of the Financial service Bank commented on service start. — In addition, this communication option allows bank to reduce overheads that positively influences the cost of banking products and services".

According to the results of implementation of the Financial service Bank service is going and to develop further a bot service in Telegram, expanding its functions.