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How to Build A Powerful, Scalable and Auto-Managed Notification Service

Almost any 21st-century project requires flexibility and scalability from an architectural point of view. Especially when it comes to chatbot development – if the customer wants to broaden functionality, carry some fresh ideas in and suggest user new handy features. Push notifications are not a brand new feature, but it’s something that can be developed in an architecturally rational way. In this article, we’ll show you how.

 

 

By the way, in an era of extreme popular technologies development, it’s virtually impossible to keep up and choose the most current tools. But being either the developer or the project owner, you should clearly understand that choosing the profound “starter pack” from the very beginning is the key to success.

So, hope this, as one of my best practices, is worth reading at least for comparison reasons (and certainly, this is not a very single solution).

 

The Problem

Imagine that your retail chatbot sells sports gear, providing lots of customers with a pretty nice service: answering all the typical questions, accepting, processing orders, and in general a lot of manual work has been automated. But you feel like the bot is somewhat raw and missing auto-mailing and the system for long-term processes. Your employees are still writing out the messages about each product delivery manually, and customers have started to subscribe to another service that provides them with something more than just online-purchases: reminders, news, interesting updates, discount notifications, and the wished product availability.

Don’t you miss the push notification service in your project?

 

Tools to tackle it

No doubt that a student can set a cron-scheduler at the server that will execute an action at a specific time on a recurring basis – very quick, but a primitive solution for such a worthy project. Amongst the main problems:

  • Cron is a system-level process, run on RAM. It’s not even about the limits you may face, but more about the accuracy. Moreover, what about clean up after the server reboot or any unhandled failure?
  • Being not an application process, Cron tangles the development process. Cron may even run at a different time than expected after the server timezone is changed – something that developers shouldn’t worry about, but would.
  • Smallest resolution – 1 minute – you can’t schedule a task that needs to be executed every 30 seconds
  • No queueing – you cannot specify an order for the jobs to complete, to divide them logically and finally make sure that they work independently
  • Dynamic params – imagine you are eager to send some specific text to all users this evening, in 5 hours. If you use the Cron you should create a new CronJob, hardcode the text, build and deploy – sense the difference?

 

You may investigate more on the weak sides of the Cron scheduler here and there, to be aware of the issue, and keep pace on issue updates.

 

Bull – is one of the most rational solutions right now, having integrated which allows you to solve the above-highlighted problems and be powerful in scheduling and managing tasks.

 

Here is a list of the tools that I prefer using for one of the potential architecture solutions. Also, I won’t dive into AWS services launch configuration details, or Redis setup possible problems, but you will definitely understand the general idea and the short hands-on during the article. In this “recipe” you’ll need:

  1. Node.js server
  2. Bull + Redis
  3. AWS EC2 + start scripts
  4. AWS Auto Scaling Group and AWS Elastic Load Balancer

 

Into the stack

 

1. Node.js server

You may use anything for building your API that will be responsible for managing queues. From  Express.js to hapi – anything you do prefer. The routing system /queue/:name should include:

 

HTTP method
route
description
POST – /job/:type define the delayed job or create & start the repeatable job
GET – /jobs

– /jobs/:id

get the list of all (one) jobs, may pass statistics, count, etc params
PUT – /pause

– /resume

– /empty

manage any queue type in the general conception; empty means removing all jobs from the waiting list
PUT – /retry/job/delayed/:id

– /promote/job/delayed/:id

manage the queue with delayed jobs – promote (force start the job that is in the waiting list) or retry if any has failed
PATCH – /job/repeatable

– /job/delayed/:id

change data or opts fields to modify or reschedule the job
DELETE – /job/repeatable

– /job/delayed/:id

remove either single delayed job by id, or all repeatable jobs from the queue (as all have common time settings)

where :type – the queue type (repeatable/delayed). It’s important to highlight that there are different Bull queues and job methods for the edit and delete processes for different jobs type – so it’s important to diversify them through routes. For instance, to update the delayed job – you should fetch the target job through queue.getJob , and then use job.update(newData), while for repeated one there will be the next action order queue.removeRepeatableByKey -> queue.add.

 

By the way, a nice solution will be to write the Bull wrapper. QueuesHandler – is the “list” of imported queues handlers from folders /queues/delayed and queues/repeatable. If you’re keen on Typescript – the piece of code below will be even much nicer:

 

 

Bull offers a great list of queue events, so you may be sure that you will miss nothing. Detailed info about:

 

2. Bull

 

Bull is a Redis-based queue service for Node.js (if you still are not familiar with the basics of Node.js – we strongly recommend you pass the Node.js tutorial first).

 

Previously, there was the light alternative – Kue, but now it’s no longer maintained. Anyway, Bull has a list of privileges such as repeatable jobs, atomic ops, and rate limiters. Moreover, there is even the Web GUI working for Bull queues called Bull Arena.

 

The advantages of the Bull:
  • Low CPU use and high performance. For the cases of huge mailing, the AWS ASG will automatically take care of this.
  • Allows to execute asynchronous functions
  • No limits for queues creation – just divide and conquer. Create as many queues with custom time rules for each and manage them easily.
  • Update, remove, promote, pause and resume – play the queue around however it’s needed
  • Jobs history – you may review all added, executed and even failed jobs with the saved error message. The statistics method allows seeing the queue summary
  • Error handling – there are events, that may catch the error, failure, and the cases when the queue was stalled, drained. Define the convenient handler for these cases and be sure that your developers receive the mail and you get the nice message from your Admin bot telling that planned New Year congratulation for your customers wasn’t finished so that your team will quickly check the stuff.

 

Disadvantages
  • no service is 100-percent perfect. The project is maintained and always-improved. You may find out more about their current bugs and their statuses on their GitHub page.

 

What is the queue? This is the imaginary bucket, in which we may gather jobs, each with its own time settings (in 5 minutes, tomorrow at 10 AM, every Sunday), and for all jobs in this bucket, there will be a predefined process handler (function to execute). The handler is called when the time “comes” – either for all jobs in the queue (repeatable) or for a single one from the queue of the delayed ones. We really recommend you separate queues for each repeatable job and for the delayed purposes, even if they have the same executor, but different appointment:

 

 

You may associate the queue with buckets with clothes to-wash that’s of different colors, texture and different powder intended to be used; or as if it’s your daily tasks sorted in work/study/sport/food/ sleep blocks, whatever you like. The main idea is: virtual alarm (Redis) says oh, it’s right X timestamp now (execution time is configured in job opts), you have definitely something scheduled in Y queue, please check – then you just quickly “remember” (bull process on listener) the action (function) and execute it. It doesn’t work every second or millisecond – the alarm knows the exact time points and reacts only if the current time is equal to one of them.

 

Time settings: this virtually divides the Bull jobs into 2 types: delayed and repeated. Delayed job – this is a scheduled job executed once at this specific time in the future. For instance, “We have just sent your order in the Postal office. Here is your invoice number and please wait for the next notification that will count your buyer score.” The Bull’s add event literally stands for creating a job in the queue with delay field in the opts object and making the job in this queue “wait” for it’s appointed time (will see the difference with scheduled).

 

Value\Queue type
Delayed-jobs queue
Repeatable-jobs queue
Data
different common
Time settings
different common
Handler
common common
Executed
once endlessly (until terminated)

Repeated joba job, that is configured with endless execution every X days/hours/minutes, whatever. To contrast the delayed jobs – bull’s add event, in this case, means creating this event once, and I will work endlessly every XXX milliseconds (under the hood) until the queue is not emptied (by your request or thanks to another scheduler). For example, a sports news daily digest, every 3rd Friday feedback gathering or even every 1st January special 50% discount promotion code for regular customers. You may pass one of the next options in the opts.repeat field when adding the job:

 

notification-service-chatbotsstudio

 

3. Redis

Redis – in-memory, run on RAM key-value storage used for reducing the load of the databases and increasing app performance, the prevailing concurrent of the Memcached and the leader on the caching ring for now.

 

Here is a great tutorial about manual Redis setup a Linux Machine – you should choose the Amazon Linux 2 AMI for your EC2.

 

The Redis plays a background role in this service, we just need to prepare it for the Bull, but we do not actually use it directly. In simple words, under the hood Redis helps to save 2 values: time and queue name. Then the Queue.process(job => /*job.data manipulation*/) handler takes everything into his own hands:

 

 

4. AWS EC2 machine

 

It’s not a secret that AWS EC2 is the most popular AWS offering. Go to the EC2 Dashboard, choose the closest region and launch the instance. Configure the instance whatever it’s needed, but pay special attention to the Security Groups’ configuration – they control inbound and outbound traffic. In the Configure Instance tab you’ll see the advanced details chapter – here you should find the User Data input field. Prepare your build & start scripts and paste them right there. 

 

The #!/bin/bash script should be responsible for:

  1. Installing updates
  2. Installing the software (node.js in our case)
  3. Cloning (downloading) the project
  4. Installing dependencies
  5. Starting the server

 

Furthermore, consider the safe storage for your .env file – there may be important credentials for accessing your database and the API keys. We highly recommend you to think about AWS KMS encryption beforehand, as well as paying attention to the AWS Secret Manager.

 

For the CDE reasons (continuous delivery) it will be perfect to configure AWS CodePipeline at your cloud virtual machine, that will automatize build and deploy stages, but this article doesn’t cover this point in detail.

 

5. AWS Auto Scaling Group

 

AWS Auto Scaling Group – this service will help us to scale out or scale in automatically, depending on the load. Regarding the fact, that we have supposed that your retail bot has or plans to have a billion customers – this service will definitely make a positive impact on our notifications service.

 

For instance, if the load increased on any even custom metric rule – the ASG would automatically register the new instances and start the instance based on the script (use the one you created on step 4). There may be average CPU usage defined as the Auto Scaling Rule (for example, CPU should be <= 40%), and the CloudWatch alarm will monitor it. For the custom metric case – reference AWS PutMetricData API and create the CloudWatch metric manually.

 

You should define the maximum (min = 1) instances running, and  ASG will never exceed this limit. Another great advantage of the ASG is that it will automatically restart the instance if it gets terminated and will replace the unhealthy instances (will highlight the health check in the paragraph below).

 

In fact, Auto Scaling Groups are free, you will be billed only for the launched instances.

 

 

6. AWS Elastic Load Balancer

 

AWS Elastic Load Balancer – the name speaks for itself: the service will spread the load across multiple downstream instances. Moreover, it will expose a single DNS and redirect the traffic in case of failures – the fantastic power of AWS!

 

What is important to know: there is a handy possibility to configure the health check for the instances: which route should be called, what response should we expect, how many times we should try to be sure it’s a success and how many times it’s enough to get it as the failure. Add this one for your app to let the AWS manage the unhealthy instances on its own.

 

Moreover, knowing the Security Group features well – you may easily make the inbound traffic come only from the Load Balancer to your app, so no one will make the use of EC2 IP(s).

 

Conclusion

I hope the article was interesting for you, and you learned something new. Feel free to write comments, ask questions and liven the discussions up – we’ll be grateful to receive your feedback. And the architecture diagram should serve as a good summary of the article:

 

 

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Our Customers Recognise the Importance of Chatbots [Clutch.co]

If you’ve heard of us, you’ve probably heard of chatbots before. These automation tools have so many uses no matter your industry — insurance, manufacturing, education, you name it. But if you don’t build it right, it can very well be another gimmick in your marketing portfolio.

 

But with the right agency, you can make money off of a chatbot. Studies have shown that chatbots can improve an app, especially when it comes to customer engagement. Having a 24-hour customer service agent can up your buyer satisfaction rates without investing in more human resources.

 

Our clients know this, and we’re humbled to be their choice for chatbot development.

 

As a tried-and-true developer for all things chatbot-related, we’re the top United Kingdom developer according to Clutch, the B2B ratings and reviews platform. Their shortlist counterpart The Manifests puts us as number 17 in Ukraine among AI developers thanks to our 4.9 average review score and proven ability to deliver.

 

One of our happy customers is VARUS, one of the largest supermarket chains based in Ukraine. They needed help finding a way to streamline customer engagement and improve their feedback mechanisms. 

 

In response, we created a Facebook Messenger chatbot. It collected phone numbers and other information through a virtual discount card that buyers could scan as a QR code. That helped us organize all their customers’ information and feedback into a database, making it easy for VARUS to find and address buyer claims and complaints.

 

 

We were proud to see that almost 18,000 clients added the virtual card within the first day and that 60,000 found the card within the week via the Facebook Messenger bot. But what really makes our success extra sweet is that VARUS left us perfect ratings on their Clutch review of our services.

 

 

We couldn’t be happier to see that our investment in the client experience paid off. 

 

Even if you’re not a large national corporation, we’re here to improve your customer engagement and take your business to another level. 

 

For a small healthcare app, we built a chatbot that allows patients to communicate with medical professionals. The app takes users’ information and connects them to the best professional for the job. 

 

 

The app is still in testing, but all signs point to a successful launch going forward. We look forward to seeing their success and are humbled to earn 5-star scores across the board for our efforts.

 

“For now, the chatbot functions perfectly. Our next goal is to discover how comfortable our customers are with using the app and find anything that needs changing. I’m happy with our engagement.” – CEO, Software Development Company

Interested in learning more about our clients and their experiences working with us? Check out our Clutch profile and read on!

 

 

Ready to get started with a chatbot today? Don’t hesitate to reach out.

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How To Register a Chatbot In WhatsApp With Twilio [Step-By-Step Guide]

The step-by-step guide is created for business owners and project managers who want to get a verified Twilio number. Mostly, business owners do not want to share Facebook Business Account Manager and payment card details. So, you can use the guide and get the number 🙂

The first step is to create a free Twilio account on the Twilio website.

Create a Facebook Business Account and Facebook Business Account Manager. Below the brief guide on how to do this and connect with Twilio phone number. Our recommendation is to have a good business account (not empty and without any info).

 

Create a Business Manager.

 

Go to business.facebook.com.

 

Click Create Account.

 

 

Enter a name for your business, select the primary Page and enter your name and work email address. Note: If you don’t yet have a Page for your business, create one.

 

whatsapp-twilio5

 

 

Twilio WhatsApp request access

 

 

When you have finished with Facebook Business Account and Facebook Business Account Manager, upgrade your Twilio account and make the payment for it. You can’t get a number while using a free Twilio account. Attention! Sometimes (it depends on country dial code) Twilio asks business documents to confirm that the business is real. 

 

After that make a request from Twilio to WhatsApp(in case you have a phone number, facebook business account and Facebook business account manager). In the form enter a new phone number that you already bought. Pay attention and fill the line ‘Twilio account SID (you can find it in console Twilio) and Business Manager ID. 

 

 Wait for the notification regarding account approvement.

 

 

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The Top-3 Libraries to Quickly and Nicely Build Charts with JavaScript

Article 1

 

The key role of charts in our stock analysis-oriented project should definitely be highlighted as they are the foremost way of data statistics visualisation. In this publication series, we will get your hands on charts built to process through the comparison of three services we’ve experienced: Google charts, Charts.js and FusionCharts && FusionExport services. After reading, you will be able to define use cases and evaluate each of the chart packages to find the best one to fit in your project!

 

FusionCharts && FusionExport && FusionTime services

 

Advantages

 

Diversity

 

FusionCharts API provides users with a wide range of chart types each possessing beautiful animation and eye-catching default colors combination. From waterfall, donut, multi-bars, various combined 2d and 3d charts to even logarithmic, funnel and other outstanding charts  – all of them own a conceivable list of attributes to customize a chart in an ever-imaginable way: labels, axixes, overlaying trend lines, font sizes, borders, shadows, color range, and even animation duration.

 

 

Moreover, aside from the 100+ chart types with 4 different style themes (IMHO ‘fusion’ is the best one) there are more than 2 thousand data-driven maps. The docs are virtually replete with the diversity such that they will definitely satisfy the most demanding user needs and live up to any expectations.

 

 

Integration

 

The most strenuous and at the same time, most crucial is to form configs correctly on the server side: outer-services response manipulating and conversion so that it is displayed correctly may be an enduring and energy-consuming process (data, dataset, labels, legends, and categories arrays formation). Having passed the higher step, users meet the thriving list of possibilities on how a chart will be displayed through front-end integration. Actually, config can be easily converted into rendered component through any JavaScript framework ( React, React-native, Angular (from the last FusionCharts version – 3.14.0), Vue.js, Ember, jQuery also supported ). This also may be implemented through attached NPM packages (React, React-nativeAngular ), or even directly if you add fusioncharts js script file and call the function with received config in a script div (also, check events subfolder for more reference).

 

 

Besides the aforementioned way of dynamic chart formation, there is FusionExport service that guarantees chart static image creating and download superseding the majority of npm packages for web screenshotting. This service carries out the processes of rendering HTML and making web-browser screenshot the chart on its side, saving png file to the tmp folder. 

 

 

Dashboard

 

Undoubtedly dashboards are one of the best ways of complex data statistic comparison, and FusionCharts attained the great result in this issue. If you have a look at their demo page, your mind may be thrown to the Google Data Studio service (GTS further), which offers much more extended and sophisticated functionality (as adding data sources, online editor for customization, connecting to cloud services, etc.). From our point of view, the points in which FusionCharts may prevail over GDS are surely the diversity of chart types, smarter styling and ability to create, display and save it as png. The last is called infographic – simple implementation of the dashboard: built-in column 2+ charts. 

 

 

Support

 

Comparing to other online support for the open-source libraries and APIs, FusionCharts own truly impeccable live assistance through the chat that may be opened by clicking on the icon on the right side of their website. Given the long-term use of this service, our team always received constructive answers with a link to a target resources in maximum of 2-3 minutes, satisfying the concern in 99% of cases. 

 

 

Furthermore, the majority of their charts are placed at JSFiddle live examples (can be shared by a support team, placed right in the docs or easily googled by “fusion charts multi-series fiddle” request), so there is a pertinent chance to play around chart attributes and parameters.

 

 

 

Disadvantages

 

Pricing

 

Imagine you have a situation that you are eager to receive both dynamic and static charts so that it will be displayed dynamically on your React app with a download button for saving static images. So you, as a developer, need the FusionChart and FusionExport services to implement such features.

 

Having downloaded and tested the free FusionExport service, you face two huge trial notices that actually negatively affect the image perception. Moreover, without FusionWidgets and PowerCharts some chart type (Treemap, Angulargauge, etc.) won’t be rendered and screenshotted on their side. Don’t you think it’s time to buy a license? But the cheapest plan costs approximately $500, isn’t it too much? The paid plan may be up to $10,000 depending on the fulfillment of the package. This may be too much for the case you develop home or university projects, even though you make a few requests to their API per day. We are inclined to believe that it would be much better if there is any simple and not so expensive alternatives, so any can integrate this service in their project consequently making Fusion projects far more popular amongst the public.

 

 

 

Documentation

 

Although FusionCharts developers made their best to categorize them for each chart and deep into details, nowadays it’s sometimes hard to search the target parameter through all chart subcategories as their names make the user be apt to the confusion. Although attributes have logical names, unwrapping every subcategory and supposing to which the parameter may be related is a humdrum deal. It was a perfect solution to add a search engine that works directly on the open page, but unfortunately, it seems not to be noticeable. We suppose that lots of FusionCharts API docs readers don’t notice that label and so that they use Ctrl+F page search, that won’t work. It will be a profound solution if Fusion team add the nice border or some tip to avoid the situations above.

 

 

Furthermore, some default attributes actually don’t work at all, and it definitely causes confusion – always try to double-check and test. But anyway, the last is expected to be fixed in the next releases, step by step, and the contaminated attributes pages are made up for nice live support.

 

 

FusionTime and FusionExport

 

There is one more service from the Fusion developers team that is called FusionTime. It’s used to display time-series data and is something like when chart Google returns you ask “Apple price.” These have even the same switch option for the previous time period. Their only single disadvantage is not supported FusionExport, although documentation says vice versa. Hope this issue will be improved in future versions.

 

 

FusionExport OS dependence

 

One of our developers faced an interesting issue in April 2019, while using FusionExport licensed service in the Windows OS. Having cloned a Github project that is run on a remote Linux machine, the developer was testing the static image creation locally with correct config when an error occurred: black background with a grey text message “No data to display.” The optional passed parameters to the class instance/function call served as the reason for this issue: once they got rid of one of them – the charts began to be exported well. However, the same code at MacOS was also working well as Linux. I hope that this bug with Windows OS was fixed in the next versions ( the last for now came out in August 2019 ), but due to the switch to Linux OS, this was not tested on our side.

 

Conclusion

Based on our experience in using Fusion services we can truly recommend them as they will meet any expectations and satisfy any statistics oriented project needs, if the budget allows you so. Certainly, there are some disadvantages at the moment of writing this article (September 2019), but we hope they are to be improved and elaborated. 

 

 

 

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11 Most Valuable Chatbot Uses For the Insurance Industry

Working on a big project for a well-known insurance company gives us the confidence to share this information. The article is about how to bring your insurance business to the next level and get a profitable virtual assistant. So what are the main goals of a chatbot for insurance projects? Let’s dive deeply into the following five chatbot uses. 

 

Claims Automation

 Anyone can make the claims via website widget or chatbot in messenger. This allows for saving time and providing quick responses without human factors. It means that the chatbot, in most cases, will not make a mistake and create the wrong claims. 

 

Lead Generation and clients engagement: 
  • People prefer to buy services online, rather than going to offline points. Use it for lead generation and customer engagement. When a customer is surfing on the website, chatbot as a web widget is offering customized and best services based on personal surveys. At this stage, the client’s needs and insurance services are merging.
  • Clients and prospects interact with company virtual representative via a few channels: SMS, web widget, and messenger. This type of communication increases opens rates and conversions.
  • Through channels chatbot or live agent offers all types of services: starting from base insurance services up to personalized offers and discounts in the account.
  • Clients education with content publishing
  • Share content on social media (it is important considering people spend huge part of free time in socials). For more details see the next item.

 

Running advertising campaigns and promotions 
  • The chatbot provides a particularly welcoming manner service, so you can expect better conversion.
  • Promotion & Advertising. The chatbot sends promo messages of new rates and the latest offers.
  • News and all above can be sent to your audience via chatbot with a higher open rate than via traditional email, or postal mail.
  • Interaction in the right channel. The main chatbot goal in marketing is interaction with the audience in the place where it spends a lot of time – messenger and social media.

 

Read more about advertising automation and cost reduction in our blog Top Chatbot Benefits: How Bots Make Advertising Campaigns Cheaper

 

Enhance customer support service
  • In the event of road accidents or other emergencies, a chatbot is able to notify the claims company, find the nearest medicine point, and order towing services.
  • In the case of regular or single visit the clinic, just push chatbot, send the information regarding doctors and provided services and the virtual assistant will cover the expenses (if it is agreed in the documentation you’ve signed).

 

If you ever thought about a chatbot, consider what is your main goal in doing so.

 

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

 

Please take a look again at these benefits and imagine all the stuff you would need to cover all the aforementioned actions. All of them could be covered by a chatbot, thereby saving time and money right away!

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7 Most Valuable Chatbot Uses For Pharmacy Shops

In the past few years, chatbots have covered many industries, automating routine work and bringing fat stacks of revenue. In healthcare and pharmacy, it has become popular now, serving clients and helping internal staff. The article is about how to bring your pharmacy business to the next level and gain a profitable virtual assistant. So what are the main goals of a chatbot for the pharmacy industry and apothecary? Let’s dive deeply into the following chatbot uses. 

 

Reporting of a lack of medicine

When the set of remedies is almost full, the chatbot sends reminder notification or makes one itself. Also, staff can check the number of medicines with the help of an AI assistant. 

 

Clients review collection

Any client can leave a review and check other trusted feedback. 

 

Reminder to take the pills

Sometimes patients don’t take medications at the time, so it affects their health. Chatbot sends reminders to take prescribed pills and is able to present medical information. For example, Ariana – an AI chatbot, who acts as a personal health coach for diagnosed patients developed by Chatbots.Studio. This chatbot answers questions, provides drug or disease information, tracks progress and outcomes and, of course, reminds patients to take pills. 

 

Providing information regarding medicine

Clients and staff can easily check composition, indications, contraindications, and the side effects of drugs in messenger. 

 

Support

Instead of using a call center a newly prescribed patient can receive treatment onboarding and adherence support in the same experience.

 

Ordering medicine

The client can send the medical prescription and apply it for preparing the order. Online payment is also available. 

 

Inquiries about medicines to pharmacists

They will answer any questions or doubts about medicines and their correct use.

 

If you ever thought about the chatbot, consider what is your main goal in all of this.

 

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

 

Please take a look again at these benefits and just imagine all the stuff you would need to cover all the aforementioned actions. All of them could easily be covered by a chatbot. Saving time and money right when you need it(now)!

 

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5 Chatbot Uses and Scenarios for Web Hosting Company

If your business is providing domain name registration, web hosting, and related services, you are on the right place, the article is for you. To be successful with your target audience, the first rule is building a trust-filled relationship and valuable engagement. So, the client will be connecting with you on different levels to get your services. The engagement must be quick and supported 24/7 despite any listed working hours.

 

The chatbot could be implemented for different goals: starting from internal staff communication up to direct sales.

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

  • Find / register / transfer / renew a domain name.
  • Request services for web hosting [Sales]. Let people find your main services in a few seconds with a virtual assistant.
  • Request services for secure SSL Certificates [Sales]. We researched how a chatbot works for sales in details. Check our articles there:
    Chatbot as a New Sales Channel for Small Business
    How Chatbots Improve Cross-Selling
  • News mailing. Stop buying expensive mailing tools. A chatbot is cheaper and more effective. The Chatbot open rate is higher than emails (average email open rate is 17%, not much, isn’t it?). Your virtual assistant serves and emails your target audience where it lives: most pop messengers.
  • 24/7 customer support. That is one of the main chatbot benefits! What do you do when the client sent a request at night? While you are sleeping, a chatbot will serve as the lead and add him to the CRM system. While you were absent, chatbot made the prospect into a lead.

 

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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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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5 Chatbot Uses And Scenario For Electronic Manufacturing

Valuable engagement with clients – it’s the main rule of any successful business. Electronic manufacturing is on the stage of change and digitalization: the chatbot takes the most routine and often repetitive work. See the uses of how this business is growing with a new digital tool.

It is not a secret, to be successful with your target audience, the first rule is building a trust-filled relationship and valuable engagement. With that in mind, the client will be connecting with you in different ways to get your services. The engagement must be quick and supported 24/7 despite working hours.

The chatbot could be implemented for different aims: starting from internal staff communication right up to direct sales.

So, we dived deep into this kind of business and found out the 5 uses of a chatbot that would work best for you.

Product overview and free samples request

Before purchasing, a customer wants to know the features of your products. The chatbot can show a short product overview or redirect to the webpage. Be sure that this type of service will satisfy the client and make him feel important for the vendor.

Sales

The most valuable chatbot benefit. Clients can order your electronic tools and delivery through messenger or web widget. What is the benefit?
The first one – direct sales. There is the last trend that works: selling products in an environment where your target audience lives: Facebook messenger, WhatsApp, Kik, etc. You can insert into the messenger (create a Facebook account, please) where your bot is and a payment method and then get more revenue. Just let your customers know about the new way of communication and shopping. The next is a reload of workflow for your sales department. Lead generation (as one more benefit) and sales are assigned to chatbot from now. He makes a primary survey, recognizes customer needs, makes an order and sells. These tasks were assigned to your sales department. Let them concentrate on the non-routine work.

We researched how a chatbot works for sales in detail. Check out out articles here:
Chatbot as a New Sales Channel for Small Business
How Chatbots Improve Cross-Selling

Complaints and feedback

If any issue arises, make sure that clients report and get feedback from a chatbot. Get customers reviews and feedback on your services and improve their experience. As a result of trusting relationships, clients always return and use your product again.

Automation of internal processes

A chatbot is not only a virtual assistant that chats with your clients. We provide the needed systems for internal processes to automate them and increase their quality. Pass the routine digital work to the system and benefit with time and money.

Internal staff communication

Since your company size is more than 1000 employees, there is a demand for setting up of good communication. internal communication is a pledge of teamwork. The chatbot in company messenger (like slack) coordinates workflow, assigns tasks, accepts the results, notifies regarding birthdays, upcoming events, unfinished tasks. So, a chatbot could, in a way, be a global company project manager.

If you ever thought about the chatbot, consider what is your main goal of all this.

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

Please take a look again on these benefits and just imagine all the stuff you would need to cover all the aforementioned actions. All of them could be covered by a chatbot. Saving time and money right away! 🙂

 

#chatbot #eleсtronic #manufacturing #chatbotforbusiness

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5 Chatbot Uses For Air Conditioning Companies

These 5 uses of chatbot is dedicated to everyone who is involved in air conditioning business homes, businesses, and projects.

To be successful with your target audience, the first rule is building a trusting relationship and valuable engagement. So, the client will be connecting with you in different ways to get your services. The engagement must be quick and supported 24/7 regardless of working hours.

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

With that in mind, I deep-dived into this type of business and found out 5 uses of a chatbot that would work best for you.

Service request

As you are an air conditioning equipment company, you get many requests regarding technical issues or conditioning implementation. These requests could be held by chatbot: accepting, selecting and passing to appropriate specialist or department. Then after a request for service, a chatbot provides service status to assure the client that his or her needs will be covered.

Complaints and feedback

The customers knows that in the event of any problem, they can report and get feedback from a chatbot. Get customer reviews and feedback on your air conditioning services and improve their experience. As a result of trust-filled relationships, clients will get back always and use your services again.

24/7 customer support

Despite different Australian time zones, your customer will get feedback at any time (even if your account manager is sleeping:). After chatbot implementation, call centers’ workflow is reduced by up to 50 percent. The reason is that customers’ desire to write about a problem rather than call a support representative. This is the most popular scenario of using a chatbot in business. You’ll get both happy call center staff and satisfied clients. Nice!

Sales

The most valuable chatbot benefit. Clients can order your air conditioning services and delivery through messenger or web widget. There is the last trend that works: selling services in an environment where your target audience lives: Facebook Messenger, WhatsApp, Kik, etc. You can insert into the messenger where your bot is and a payment method and then get more revenue. Just let your customers know about the new way of communication and shopping. To get more information, read Top Chatbot Benefits: Chatbot as a New Sales Channel for Small Business .

Besides sales, your clients could book an appointment to implement air conditioning system in messenger. Chatbot offers the service, time for implementation and staff (if it is possible). Of course, you can always add more chatbot features in messenger.

Internal communication

For your quick growth, a company that has more than 550 employees, internal communication is a priority of teamwork. Chatbot in company messengers (like slack) coordinate workflow, assigns tasks, accepts the results, notifies regarding birthdays, upcoming events, unfinished tasks. So, a chatbot could be a global company project manager.

Please, take a look again on these benefits. Just imagine how much stuff you need to cover all the actions mentioned above, Not to mention all the money wasted. All of these tasks could be handled by a chatbot. Saving time and money there! 🙂

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