<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" > <channel> <title>MSME banking Archives - #1 in Conversational Banking — Chatbots.Studio</title> <atom:link href="https://bank.chatbots.studio/tag/msme/feed/" rel="self" type="application/rss+xml" /> <link>https://bank.chatbots.studio/tag/msme/</link> <description>Digital transformation for banking products in conversational channel. Chatbots for banks development. Digital Bank in Apple Business Chat, Google Business Messages, WhatsApp, Messenger, Viber, Telegram, Line, WeChat and other messengers</description> <lastBuildDate>Thu, 03 Nov 2022 03:13:47 +0000</lastBuildDate> <language>en-US</language> <sy:updatePeriod> hourly </sy:updatePeriod> <sy:updateFrequency> 1 </sy:updateFrequency> <generator>https://wordpress.org/?v=6.9.4</generator> <image> <url>https://bank.chatbots.studio/wp-content/uploads/2020/09/favicon-36x36.png</url> <title>MSME banking Archives - #1 in Conversational Banking — Chatbots.Studio</title> <link>https://bank.chatbots.studio/tag/msme/</link> <width>32</width> <height>32</height> </image> <item> <title>Finbot 2020: Trends in Bank Chatbots Among the Market Leaders</title> <link>https://bank.chatbots.studio/blog/finbot-2020-banking-chatbot-trends/?lang=en</link> <dc:creator><![CDATA[Igor Luzhanskiy]]></dc:creator> <pubDate>Wed, 29 Jul 2020 09:50:00 +0000</pubDate> <category><![CDATA[Blog]]></category> <category><![CDATA[MSME banking]]></category> <category><![CDATA[Retail banking]]></category> <guid isPermaLink="false">https://bank.chatbots.studio/?p=1608</guid> <description><![CDATA[<p>On June 30, an online conference Finbot 2020 was held – a case conference on chatbots, robots in voice channels...</p> <p>The post <a href="https://bank.chatbots.studio/blog/finbot-2020-banking-chatbot-trends/?lang=en">Finbot 2020: Trends in Bank Chatbots Among the Market Leaders</a> appeared first on <a href="https://bank.chatbots.studio">#1 in Conversational Banking — Chatbots.Studio</a>.</p> ]]></description> <content:encoded><![CDATA[ <p>On June 30, an online conference Finbot 2020 was held – a case conference on chatbots, robots in voice channels and virtual assistants for banks, at which Igor Luzhansky (Co-founder of Chatbots.Studio), together with Vladimir Yastrebkov (Head of the Directorate for Product and Technology Development at VTB Group) talked about the joint case of creating a chatbot on Facebook Messenger.</p> <p>In addition to the presentation of the Chatbots.Studio case, the conference featured other significant in our opinion case sessions about chatbots and virtual assistants from representatives of Sberbank, VTB Bank Group, Alfa Bank, Accenture, Raiffeisenbank, Rosbank, Tinkoff and other banks.</p> <p>In this article, we would like to touch upon the particularly interesting achievements made at the conference.</p> <h2 class="wp-block-heading">VTB: how to deal with the collapse of quality assessment during a pandemic</h2> <p> In December 2018, the ability to access the functions of the client-bank in the chatbot became available to the bank’s clients. It took the team about 5 months to put the bot into mass production (Dec 2018 – April 2019).</p> <p>Alexander Raihin, Head of the Department at VTB Bank, shared his story of solving the problems associated with the pandemic.</p> <p>During the pandemic, the volume of traffic to both the VTB Bank chatbot and the contact center increased sharply. It was a difficult period and we had to act in a stop-fire mode.</p> <p>Problems encountered during the pandemic:</p> <ul class="wp-block-list"> <li>Due to the growth of customers on the hotline, all chat operators were transferred to the contact center, leaving only the bot in the chatbot</li> <li>Frequently asked topics have changed and changed within a short time</li> <li>The chatbot stopped responding to current user questions and the bot’s performance rating decreased</li> <li>I had to forcibly reduce the accuracy of the bot’s response from 40% to 20%</li> </ul> <p>To assess the quality of a chatbot in a team, the CSI metric is used, measured on a 5-point scale. The metric was introduced in December 2018, after the creation of a pilot version of the chatbot.</p> <p>The solution:</p> <ul class="wp-block-list"> <li>We expanded customer service channels and launched bots in the Internet bank and Viber</li> <li>In a short time, we launched a bot to receive applications for credit vacations</li> <li>Analysis of popular topics focus on 5-10 to-topics and daily releases of new bot scenarios, or even 2-3 times a day</li> <li>Increase in the number of repeated requests</li> <li>Focus on negative customer feedback and troubleshooting</li> <li>Implemented the function of notification about unread responses for the client in the form of push notifications</li> </ul> <p>Thus, eliminating problems in the chatbot, the team managed to cope with user requests for the period from 16.03 to 8.06, stop the drop in the bot’s performance rating and even reach a higher indicator than it was before the pandemic – from 4.42 to 03.16-29.03 to reach the rating 4.52 to 8.06. At the moment, the bank has a chatbot for WhatsApp and an omnichannel bot with a voice assistant in development.</p> <h2 class="wp-block-heading">Sberbank: launching a chatbot for legal entities on the market</h2> <p>Sberbank was represented at the conference by Sofya Makushova, the Owner of the Chatbot for YL product.</p> <p>Among legal entities, Sberbank provides services for 2.4 million clients, which are served by nearly 4,000 employees. The bank launched a chatbot for legal entities in 2019, and by the end of the year, online chat served 9% of applications among other channels of communication with a client. Already at that time, the company noted a 2-fold decrease in the cost of customer service relative to calls with an operator. To process FAQ and dialog scripts, the bank uses an internal NLP platform that serves chats for retail and corporate clients.</p> <p>As of March 2020, the bank through chat service channels (in chats on the website, WhatsApp, Web SBBOL and SBBOL mobile application) closes 172,000 calls per month, which are serviced. In addition, in 2020, online chat is already serving 17% of customer requests with a CSI of 85% (approx. CSI – customer satisfaction index).</p> <p>The ability to glue multiple user messages into one intent was introduced, without running scripts for each message separately – which significantly increased FCR.</p> <p>FCR (First-Call Resolution) – a metric of the Customer Support departments, measured in the number of resolved customer issues on one line within 1 hour. International standard – at least 80%.</p> <p>Now the bot is testing the functions of proactive communication with the client, which allows not only serving current applications, but also offering banking products. And also, data is being collected to target this function if possible</p> <h2 class="wp-block-heading">Yandex Money: a brief history and results of a chatbot for a payment service</h2> <p>Among popular services for electronic payments in Russia, Yandex.Money comes in second place. At the conference, Dmitry Ofitserov, Head of the Yandex.Money client service development department, shared his success story and information on the volume of the chatbot’s work.</p> <p>At the time of the search for the optimal chat solution for the payment service, 20% of all requests were already served in the chat of the mobile application and in the chat on the Yandex.Money website. Previously, the company already had a successful case of automating Yandex.Mail processes using chat solutions. With the introduction of the virtual assistant, it was planned to automate the processing of a third of calls, without operator intervention. The chat assistant was originally implemented only in the mobile application and under the name Moneybot.</p> <p>Moneybot serves clients’ requests for opening wallets, ways to replenish them, limits, commissions, cashback, and also advises on the issuance of virtual cards, working with payments and transfers, contactless payment methods and withdrawal options.</p> <p>After 10 months of operation of the Moneybot, the volume of requests processed in the chatbot was increased to 41%, and the accuracy of the answer was recorded by 85% within 220 topics and 272 scenarios. In the future, the chatbot plans to cover up to 60% of requests and introduce personalization through integration with internal systems. In addition, Dmitry shared information that the chatbot has already paid off and only two people are engaged in its maintenance.</p> <h2 class="wp-block-heading">VTB Azerbaijan: neobank in messenger, Chatbots.Studio case</h2> <p>VTB was represented at the conference by Vladimir Yastrebkov. After 10 years of operation of VTB Bank Azerbaijan and reaching a retail client base of 10,000 clients, in 2019 the revision of strategic priorities was towards the digitalization of the bank’s processes and a non-trivial task was set: to figure out how to quickly increase the volume of business without any serious investments from side of the parent company.</p> <p>The choice fell on the chatbot in Facebook Messenger as an inexpensive solution compared to a mobile application and a quick solution to market.</p> <figure class="wp-block-image"><img decoding="async" src="https://lh6.googleusercontent.com/LRFdKhVtPCwg1AwGuDDZrWWFi_9UeCtOBxqHEd64EYnOyqwTaYzh3ZZHOpu7nTuMAFCIN_Q7pfrL_eokwnPmNaGRhmMWqDunXnpYlPbgglpX_QCej09sU6tdFtp-YK_VuRlATHG0" alt="" /></figure> <p>How the bot works: most often a new client learns from an advertisement received directly in the messenger, or from a message from friends who already use banking services in the chatbot. When switching to a contact, the client can get himself a virtual prepaid DIRECT card.</p> <p>So far, DIRECT serves only Azerbaijani customers, but the technology has the potential to be applied in other divisions of VTB Group. Technically, the chat solution allows you to deploy another digital bank in the messenger in just 2 months. At the moment, the product is used by several thousand customers, and in the feedback, customers note the speed and convenience of working in the messenger.</p> <p>You can find out more about it on the case page of the chatbot for VTB or in the bank’s article on habr.</p> <h2 class="wp-block-heading">Alfa-bank: chatbot performance evaluation metrics</h2> <p>Alfa-Bank was represented by Nikita Komarov, Product Analyst, and Natalya Balyberdina, Head of Digital Online Channels Development.</p> <p>The percentage of full automation of service in the chat of Alfa-Bank has grown from 8% to 16% since April 2019. The chatbot’s penetration into dialogs increased from 18% to 26%, and the chatbot analytics pipeline was also tuned.</p> <p>Nikita Komarov talked what groups of metrics to measure the work of chat solutions, in the context of three levels – model, scenario and user.</p> <p>The model can be measured by 3 parameters:</p> <ul class="wp-block-list"> <li>Distribution of confidence in answers</li> <li>Confusion matrix</li> <li>F-score</li> </ul> <p>Among scenario metrics</p> <ul class="wp-block-list"> <li>Successful closure of sessions</li> <li>Number of repetitions of intent</li> <li>Number of operator calls</li> <li>Negativeness and user ratings</li> </ul> <p>User metrics measure accuracy, automation, or any other time-based metric.</p> <h2 class="wp-block-heading">Omilia: a human-like user experience through voice assistants</h2> <p>Platon Begun, Director of Business Development in Russia at Omilia, presented on a live demo the ability to recognize user intents in a dialogue with a voice assistant. Due to the flexible context memory of the platform, the technology handles unstructured user cues, ambiguous cues and mentions in the context of the current conversation.</p> <p>Among the metrics of the accuracy of the company’s voice solution:</p> <ul class="wp-block-list"> <li>21 languages for deep speech recognition</li> <li>Serving 15 countries</li> <li>Semantic accuracy 96%</li> <li>90% of dialogs completed successfully</li> </ul> <p>The speaker also noted that for the introduction of the company’s voice technology into the omnichannel customer service, it is most convenient to implement through the client’s chat platform. Among the cases are Piraeus Bank, Alpha Bank, Eurobank and Alfa Bank.</p> <h2 class="wp-block-heading">Raiffeisenbank: Dynamics of growth in popularity of calls to chat channels in 2017-2019</h2> <p>The chat channel was launched at the end of 2017 and then it served about 2% of requests. By December, the share of calls to chat was 18%.</p> <p>In 2018, to clarify the relevance of the bot’s intents, the chat solution team conducted several customer surveys on a sample of 1000+ respondents. From the survey, it turned out that the most popular user requests – questions about ATMs and branches, online banking, followed by questions about debit cards and loans – were the focus for optimizing chatbots.</p> <p>In 2019, Raiffeisenbank’s clients began to visit branches 30% less frequently than a year earlier, preferring to resolve their issues through technological communication channels. For example, 80% of active customers use a mobile application, and the number of transactions in the Internet and mobile banking increased by 60%.</p> <p>“In 2019, the number of client calls through chats has more than quadrupled – from 38 thousand to 165 thousand, and the trend for the migration of clients in them has significantly increased in 2019. A year ago, only every 12th call to the contact center came via chat, now every third one. “</p> <p>And already at the end of 2019, Raiffeisenbank issued a press release, in which it was reported that the bank was launching a virtual assistant based on machine learning (ML) through the channels: WhatsApp, Telegram, Viber, in the Internet and mobile banking, on the bank’s website for individuals and small and micro-businesses. According to Ilya Shchirov: “The popularity of remote channels of communication between clients and the bank is growing, and today we already receive more than 35% of calls through chat, we expect that this share will already be 50% by the end of 2021. The virtual assistant, according to our calculations, will increase the efficiency of non-voice communication channels by 40% by the end of 2021″</p> <h2 class="wp-block-heading">Summing up</h2> <p>Many interesting cases of banks were presented at the conference. The speakers showed what bots have already created value in practice: reducing the cost of servicing requests, reducing the time it takes to process customer requests and improving customer service.</p> <p>In addition, the direction of chatbots for banks has prospects in omnichannel solutions in messengers that provide a seamless user experience.</p> <p>Also, the experience of banks shows that robotization or bottization of a bank’s contact center is a non-trivial task. Despite the promises of vendors to implement simple and fast solutions, the integration of chat solutions into the bank’s infrastructure requires attention, effort and project management from the bank itself.</p> <p>We managed to divide the use of chat solutions by banks into two groups:</p> <ul class="wp-block-list"> <li>customer service</li> <li>digitalization of banking products in messengers</li> </ul> <p>In the first group, customer support to reduce the cost of servicing frequently asked questions by agents and to shift the focus of agents to more complex tasks. The second group includes chatbots as a marketing tool for business development and entering new markets.</p> <p>Among the innovations in the field of omnichannel interaction with the bank’s clients are voice assistants in instant messengers. At the moment, voice solutions have been implemented at Tinkoff Bank, Home Credit Bank and Alfa Bank. In addition, the Yandex.Dialog website contains information about the virtual assistant from Sberbank, integrated into the voice assistant Alice, but judging by the average user rating (2.7 stars based on 117 ratings), the solution requires improvement.</p> <p>On behalf of Chatbots.Studio, we would like to express our gratitude to the organizers of the Finbot 2020 Conference Conglomerate for the quality content and the opportunity to exchange experience with the leading banks in Russia. At the conference, we once again saw that the market is becoming more mature and solutions for banks are becoming more advanced.</p> <p>The Chatbots.Studio team develops bot platforms for banks in instant messengers – Apple Business Chat, WhatsApp, Telegram, FB Messenger and Viber. Among the clients for whom we have already implemented chatbots are PrivatBank, VTB Azerbaijan, CenterCredit, Sberbank Kazakhstan and Concord Bank.</p> <p>For any questions about building RBS in messengers, developing chatbots in WhatsApp, Telegram, FB Messenger and Viber – fill out the contact form or write to us at<strong> bank@chatbots.studio.<br /></strong></p> <p>The post <a href="https://bank.chatbots.studio/blog/finbot-2020-banking-chatbot-trends/?lang=en">Finbot 2020: Trends in Bank Chatbots Among the Market Leaders</a> appeared first on <a href="https://bank.chatbots.studio">#1 in Conversational Banking — Chatbots.Studio</a>.</p> ]]></content:encoded> </item> <item> <title>How to Simplify Payroll Projects Maintenance Using a Chatbot?</title> <link>https://bank.chatbots.studio/blog/payroll-projects-automation/?lang=en</link> <dc:creator><![CDATA[Igor Luzhanskiy]]></dc:creator> <pubDate>Tue, 21 Jul 2020 13:08:09 +0000</pubDate> <category><![CDATA[Blog]]></category> <category><![CDATA[MSME banking]]></category> <guid isPermaLink="false">https://bank.chatbots.studio/?p=1594</guid> <description><![CDATA[<p>According to Sberbank, in the fourth quarter of 2019, the share of non-cash payments in Russia for the first time...</p> <p>The post <a href="https://bank.chatbots.studio/blog/payroll-projects-automation/?lang=en">How to Simplify Payroll Projects Maintenance Using a Chatbot?</a> appeared first on <a href="https://bank.chatbots.studio">#1 in Conversational Banking — Chatbots.Studio</a>.</p> ]]></description> <content:encoded><![CDATA[ <p><a href="https://www.gazeta.ru/business/2020/05/18/13087525.shtml">According </a>to Sberbank, in the fourth quarter of 2019, the share of non-cash payments in Russia for the first time exceeded half of the total expenses of residents of the Russian Federation, amounting to 50.4%. In this article, we will look at the competitive advantages of banks in payroll projects and how to automate the process of payroll projects maintenance for bank employees.</p> <h2 class="has-text-align-center wp-block-heading">Competitive advantages</h2> <p><a href="https://www.visa.com.ru/visa-everywhere/researches-and-tendencies/salary-research.html">According </a>to a payroll project survey prepared for Visa, the majority of Russians (64%) are loyal to their bank, but one in four (26%) does not exclude the possibility of switching to servicing another bank.</p> <p><a href="https://rko-bank.ru/zp/rejting-zarplatnyh-proektov-bankov-tarify-i-usloviya.html#mozhno-li-otkryt-zarplatnyj-proekt-bez-otkrytiya-raschetnogo-scheta">Below are</a> more than 30 unique competitive advantages of the top 15 banks in Russia:</p> <ul class="wp-block-list"> <li>Cashback for any purchases;</li> <li>Automatic calculation of personal income tax;</li> <li>Free connection of a salary project;</li> <li>Free SMS informing about funds crediting;</li> <li>Free issue of cards;</li> <li>Free access to internet banking for each employee;</li> <li>Within the framework of the “Status” and “Premium” salary projects, no commission is charged for transferring funds to employee cards;</li> <li>An opportunity for an employee to independently switch to another service package;</li> <li>The ability to add to the project employees who previously had UBRD cards open;</li> <li>The ability to control the charge online;</li> <li>The ability to transfer to service in the bank only part of the employees (management team);</li> </ul> <ul class="wp-block-list"> <li>The opportunity to receive additional income on a payroll card;</li> <li>The possibility of placing an ATM on the territory of the organization;</li> <li>The ability to withdraw cash throughout the Russian Federation without commission;</li> <li>All operations are performed remotely;</li> <li>Holders of salary cards can take advantage of preferential mortgage rates;</li> <li>It is not necessary to open an account to conclude a salary agreement;</li> <li>Wages are paid in an automated manner;</li> <li>Cards are issued to employees within five working days;</li> </ul> <ul class="wp-block-list"> <li>Cards are issued to employees on the territory of the company;</li> <li>Instant salary receipt on the card;</li> <li>There are no limits on the transfer amount;</li> <li>Regular and premium salary cards are issued free of charge;</li> <li>Transfer of wages to cards of any banking organizations;</li> <li>Connection to the project in 1 day;</li> <li>Full integration with your accounting software;</li> </ul> <ul class="wp-block-list"> <li>Receipt of cash in the Russian Federation and abroad at any time of the day;</li> <li>Interest on the account balance;</li> <li>Work with a personal manager to resolve emerging issues;</li> <li>Expansion of the social package for employees due to preferential terms for lending and opening deposits;</li> <li>Reduction of the cost of transportation and storage of cash;</li> <li>Company employees can develop the design of the cards themselves;</li> <li>Special lending conditions for holders of salary cards;</li> <li>Funds are credited within 90 minutes;</li> <li>Exclusive offers for company executives;</li> <li>Emergency cash withdrawal abroad if the card is damaged or lost</li> </ul> <p> </p> <p>For each item, the bank has organized processes that require operational instructions for bank employees in cases where the client wants to use them. This and information for the client. This is where chatbots come to the rescue.</p> <h2 class="has-text-align-center wp-block-heading">Why do we need chatbots for payroll projects?</h2> <p>The purpose of chatbots is to automate the bank employees’ routine operations to provide the client with operational information and automate the processing of salary projects.</p> <figure class="wp-block-image"><img decoding="async" class="aligncenter" src="https://lh5.googleusercontent.com/1pKeGi1WYnR0VOZXwOkSbQWRldc_roqjv38ni_Ohp7bWNMDwd9ugTSaIo5OmML_1W55vpf-LgvXqjBmw5PJIqDZDUGA3L-ksx-sqkxSBEAXNnnoT_RP5yLvRjRLvqa6MRdDGpTUT" alt="" /></figure> <h2 class="has-text-align-center wp-block-heading">Chatbot for self-service of payroll cards issuing </h2> <p>3 participants are involved in the process of registering payroll projects – an employee, a bank, and a personnel department, and the interaction process is as follows:</p> <ol class="wp-block-list"> <li>an employee comes to the enterprise and is registered in the personnel department,</li> <li>the personnel department of the enterprise transfers its documents to the bank,</li> <li>the bank issues the card,</li> <li>the bank transfers the card to the personnel department,</li> <li>personnel department hands over the card to the employee</li> </ol> <p> </p> <p>Thus, the client’s path becomes shorter and more convenient, and the information provided by the client is immediately loaded, identified and processed in the banking system, without requiring additional actions from the bank’s employees.</p> <p>Advantages of customer self-service in a chatbot in a payroll card messenger:</p> <ul class="wp-block-list"> <li>the client is not tied to a bank branch</li> <li>an explanatory note is provided for each item</li> <li>card issuance is accelerated</li> <li>the load is removed from employees</li> </ul> <p>Bot functions that can be used for payroll projects chatbot:</p> <ul class="wp-block-list"> <li>collection of data for application</li> <li>user identification via passport, TIN or company ID</li> <li>document recognition</li> <li>bot confirmation, thanks to integration with the banking system</li> <li>applying for a card</li> <li>registration of card delivery by courier</li> </ul> <p> </p> <h2 class="has-text-align-center wp-block-heading">Alfa Bank’s case: knowledge base about payroll projects in the chatbot</h2> <p>To optimize the provision of consulting services and reduce the time for preparing responses, this functionality was <a href="https://fomag.ru/news/alfa-bank-vnedril-chat-bot-v-zarplatnye-proekty/">transferred </a>to a chatbot with artificial intelligence. The chatbot for payroll projects was a knowledge base of the “new employee” of Alfa-Bank for answering various requests from client managers.</p> <p>In other words, the chatbot covered 2 processes:</p> <ul class="wp-block-list"> <li>onboarding of bank employees for salary project services</li> <li>FAQ</li> </ul> <p>“Our new employee with artificial intelligence (chatbot) has already proven himself. In addition to the 24×7 mode of operation, it significantly reduced labor costs for a fairly routine functionality, and also made it possible to more than 50 times increase the speed of responses to internal consulting requests of employees, thereby improving the quality of service and bank customers, – said Maria Shevchenko, Chief Operating Officer of Alfa-Bank</p> <p> Benefits:</p> <ul class="wp-block-list"> <li>increased the speed of responses to internal consulting requests of employees</li> <li>the quality of service and bank customers has been increased</li> </ul> <p>In this article, we examined two ways to use chatbots for salary projects for a bank – a knowledge base for employees and registration of salary cards.</p> <p>Chatbots.Studio team develops bot platforms for banks in instant messengers – Apple Business Chat, WhatsApp, Telegram, FB Messenger, and Viber. Among the clients for whom we have already implemented chatbots are PrivatBank, VTB Azerbaijan, CenterCredit, Sberbank Kazakhstan, and Concord Bank.</p> <p>If you have any questions about chatbots for salary projects or the development of chatbots in WhatsApp, Telegram, FB Messenger and Viber – <a href="https://bank.chatbots.studio/ru/#contact-form">fill out the contact form</a> or write to us at bank@chatbots.studio.</p> <p>The post <a href="https://bank.chatbots.studio/blog/payroll-projects-automation/?lang=en">How to Simplify Payroll Projects Maintenance Using a Chatbot?</a> appeared first on <a href="https://bank.chatbots.studio">#1 in Conversational Banking — Chatbots.Studio</a>.</p> ]]></content:encoded> </item> </channel> </rss>