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5 Chatbot Uses and Scenario For Outsourcing Company

Thank you for placing your trust in us and reading our blog! If you are in outsourcing, welcome and let’s learn how to boost it with AI chatbot!
To be successful with your target audience, the first rule is building a trustful relationship and valuable engagement. With that in mind, the client will be connecting with you on different channels to get your services. The engagement must be quick and supported 24/7, despite any working hours you may have listed.

The chatbot could be implemented for different purposes: starting from internal staff communication up to content marketing.

So, I dived deeply into this type of business and found out 5 uses of a chatbot that would work for you the best.

Chatbot that qualifies leads

Chatbot selects leads according to your wishes: type of services that client requests, city, project budget, MQL, SQL etc. You can integrate calendars with the bot to convert customers and schedule meetings in the process. Also can build sequences and program conversations with saved replies.

Survey for clients

Learn what your clients need and if you have a little landing page where you are asking about feedback, remove it. A chatbot makes it more interactive. You’ll get much more feedback compared to a landing space on a website.

Scheduling a demo or meeting with the sales department

The CTA button is necessary for websites, to encourage customers to come and make a purchase. When the client is ready to speak, a chatbot will offer to schedule a meeting or show the chatbot demo and make the event on the calendar. Awesome, isn’t it?

24/7 customer support

That is one of the main chatbot benefits! What do you do when the client sent requests at night? While you are sleeping, chatbot will serve the lead and add him to the CRM system. While you were absent, chatbot turned the prospect into a lead.

SALES (!)

The most valuable chatbot benefit. Clients can order your outsourcing services through messenger or a web widget (that’s the best fit) on your website.
We researched how chatbot works for sales in greater detail. Check our articles there:
Chatbot as a New Sales Channel for Small Business
How Chatbots Improve Cross-Selling

How do you see your chatbot? What is the main goal of the virtual assistant for you?

To provide detailed information and chatbot uses with measurable indicators, feel free to contact us and we will figure something out.

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Chatbot for Increasing Sales in Messengers

The solution was designed for ordering and delivery food with embed online payment 24/7. Chatbot combines great UI and high-speed processing in serving clients.
          Financial Benefit:

More sales conversion without any extra costs

Lowering live support costs 

Increased conversion rate per conversation

Decreased cost per conversation

Increasing of loyalty audience

Increasing the number of sales

 

          Goals:

Involving active users of messengers to shopping

Decreasing of bounce rate

Building a permanent client base for easy communication

Decreasing costs for lead generation

Increasing sales funnel

Making an order in a few clicks

 

          Features:

Embed goods search

Shopping cart

Instant order processing

Cross-sale via relevant offers

 

          Technologies:

Botkit – an open source development tool for building a chatbot, apps and custom integrations for major messaging platforms. 

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Chatbot For Supporting Educational Process

Chatbot acts as a teacher and guide during the learning process. The solution also checks and fixes students’ mistakes.
          Financial Benefit:

More sales conversions without any extra costs

Lowering live support costs 

Increased conversion rate per conversation

Increased more traffic to the company website

Increased activity to the app and sales per month

Decrease the costs for students’ live agent support

 

          Goals:

Course sales in chatbot without live agent help

Supporting during the learning process

Сlasses Automation without a teacher

Providing English and Math classes

 

          Features:

24/7 customer service. Even if the student is in another timezone, he will be served immediately

Ability to serve students in their most pop messenger among teens

Checking sentence context

Checking grammar in the text

Checking and offering the right tense for sentence

Checking in on the students’ feelings and mood

 

          Technologies:

Dialogflow is an end-to-end, build-once deploy-everywhere development suite for creating conversational interfaces for websites, mobile applications, popular messaging platforms, and IoT devices.

Botkit – an open source developer tool for building a chatbot, apps and custom integrations for major messaging platforms. 

Node.js an open source server environment. 

 

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Chatbot for Pre-Ordering and Online Payment

The Chatbot designed for quick service and coffee ordering without any cashier help. The solution also has embedded online payment for best coffee lovers` convenience.
          Financial Benefit:

Increasing sales in messenger

Visa Online payment  

Decreasing cost per engagement with the client

Decreasing costs for internal staff

Increasing more traffic to the Telegram channel

Aforementioned benefits increased loyalty and cross-selling

 

          Goals:

Avoiding queues to the cashier by the online coffee ordering

Reducing cash payments

Reload of internal staff’s workflow

Creating a comprehensive guide for ordering the right coffee and avoiding communication misunderstandings

Quick start. Receiving first online order in 15 minutes after the connection

 

          Features:

Visa Online payment

Online coffee ordering

Canceling and change options are available during the ordering

Notification regarding order status

A quick search of appropriate items via embedded search

Nearest store. With built-in Google Maps chatbot shows the list of stores and the one which is nearest to customer

Integration with delivery company database. The Chatbot makes an order and passes it to the delivery company.

 

          Technologies:

AWS Lambda is a computing service that runs code in response to events and automatically manages the computing resources required by that code.

AWS API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. 

Amazon EC2 is a web service that provides secure, resizable compute capacity in the cloud.

MySQL is an open-source relational database management system (RDBMS).

Node-RED is a programming tool for wiring together hardware devices, APIs and online services in new and interesting ways.

Node.js an open source server environment. 

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How Much Does It Cost To Build A Chatbot In 2019?

I used to be asked about it several times a week by clients who want to understand the business of chatbot creation. The price really depends on the effort required to build the bot, as we don’t sell pre-made chatbot templates.

Spoiler alert: it will take between $200 USD to $15k USD to build a single chatbot. If we’re building the chatbot platform, or self-made data science is required, the price could be even higher.

So, let’s take a look at the key drivers impacting the price for custom chatbot development.

  The first one is the channel in which the bot should function. I mean where the bot will actually do its work. Is it a website, SMS, some of the existing messaging platforms? The cheapest ones are FB, Telegram, Viber, Web and others when it’s possible to use the platform UI components to make rule-based conversations. There are even plenty of FREE FB chatbots templates. Here’s an example https://templates.botstar.com/. In reality, it will be required to customize such a template a little, so that’s why the minimum price for a chatbot is about 200 bucks.  More complexity comes when the bot for WhatsApp or SMS is required to be built. It means that there are no UI controls and additional effort will be required to train the bot and fix all possible flows of the conversation. Such bots are starting from around $1000 USD.

The next point that has to be considered is the complexity of the conversation. That relates to  a) the number of branches in the conversation tree as well as b) the number of questions that have to be addressed by the chatbot (in case of FAQ chatbot) and c) the need to support the unstructured dialog with the end user. Training the bot to support several hundred FAQs will require an additional thousand USD. Free based conversations will also add about 500 USD to the price list. While structured conversations will not impact the chatbot cost significantly. Some bots could have a specific task related to the use of Artificial Intelligence. We’ve had requests to understand dreams and automate confession. That’s a separate task which requires corresponding data sets and the training of machine learning models. It’s hard to estimate the price here, but that kind of bot will cost from $10k USD and more. On the other hand, the bot could be made more intelligent while enriching with sentiment analysis, which does not require being built from scratch and is available via API (that is an additional 500 for projects)

Bots are rarely working in isolation, so in most of cases, integration with back-end systems is required. Typically, chatbots are integrated with a CRM, ticketing, live agent solutions or some other business specific solution. You would need to account for $1k-2k USD for each such integration.

Bots are very language sensitive, everything is pretty much in English. It’s widely supported by all the vendors. It’s also fine with the major European languages such as French, German and Spanish. But what about others, and even non-European languages? That’s a more complicated story. If one of the trusted providers has the support of your language, then it makes sense to invest in custom bot development. Otherwise, I would not even recommend doing that if your bot requires any bit of an AI component.

 

I would also recommend that you look at my blogpost related to the total cost of ownership for a chatbot solution and the criteria for selecting a chatbot development provider.  

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