What is a chatbot?

As you grow your small business, you have the opportunity to expand your footprint and develop your customer base but perhaps you don’t have the budget to hire an in-house support team.

So what’s the solution?

A chatbot — a digital application that communicates with clients — can handle your company’s customer service problems without forcing you to onboard a new team or sign with a contact center. With a chatbot, you can automate customer service and boost your team’s productivity. That means you can improve your company’s revenue and free up valuable time to grow your business

Within this guide, you’ll understand what exactly is a chatbot, and why chatbots are important to your business, but that’s not all. We’ll also walk you through the entire step-by-step process for creating and deploying your own business’s chatbot application.

What exactly is a chatbot?

chatbot is an AI (artificial intelligence) system that mimics human conversation and it is used by businesses for customer communication. Whether it’s text-based or voice-based, a chatbot can learn customer requests and automate communication with customers on behalf of your business.

Simpler chatbots can conduct basic conversations and offer general replies. Complex chatbots can offer highly personalized help and may become smarter over time. No matter how advanced they are, chatbots can handle customer service tasks like:

  • Answering questions
  • Providing product information
  • Offering personal shopping help
  • Processing orders and refunds

Since they can easily automate customer service, chatbots have quickly become popular with business owners. In fact, Salesforce predicts that between early 2019 and late 2020, chatbot use will grow 136%. Customers have already embraced this technology, as over 75% think that chatbots will change their customer service expectations by 2024.

“A chatbot is a software application used to conduct an on-line chat conversation via text or text-to-speech, in lieu of providing direct contact with a live human agent.”

How do chatbots work?

Chatbots works completely autonomously with no manual intervention. For customers, conversing with a chatbot looks and feels just like communicating with a live support agent. That’s because chatbots rely on artificial intelligence (AI) and user-friendly setups to communicate with customers.

Most chatbots fall into one of these two categories:

#1. Rule-based chatbots: These simple programs can handle basic questions and requests, known as intents. They rely on natural language processing (NLP) and natural language understanding (NLU) to translate customer requests into data. Then they use their preprogrammed rules to match questions with answers and solutions.

Pros
  • Relatively easy and inexpensive to build.
  • They can be developed quickly.
Cons
  • It is constrained by very specific commands, meaning it can only react with preprogrammed responses to specific customer requests.
  • You may want to prompt users with the type of responses they are allowed to give, similar to a multiple-choice survey.

#2. Machine learning (ML) chatbots: These programs do complex tasks and work more like virtual assistants. They use ML and NLP to understand the context, personalize communication, and learn as they go. They can also predict the types of issues customers might have and offer proactive solutions.

Pros
  • Artificial intelligence technology means your chatbot can do more than simply obey specific commands.
  • In many cases, the chatbot will understand and respond to natural language.
  • With this level of sophistication, your chatbot continuously learns from its conversations. It can get smarter.
Cons
  • Much more advanced and difficult to program.
  • Costlier, they require longer development times.

We’ll talk more about how chatbots are created in a later section. 

Why chatbots are important

Since they can automate your customer service process, chatbots are important to your business because:

#1. They identify and engage with leads at the right time. While engaging with your customers when they are either visiting your website or your mobile app, a chatbot helps make the whole customer experience more engaging and dynamic pushing prospects to the next step of the sales funnel.

#2. They help improve customer engagement. Working without any manual interaction chatbots are available and operational throughout the day and while engaging with multiple customers at once, they can send instant responses as well as product offers and updates on a regular basis.

#3. They make customer data collection easier. Chatbots continuously gather customer data which once analyzed and coupled with natural language processing allows to enhance the intelligence of the bot and create a better version of it.

#4. The help with A/B testing. Faster than manual A/B testing, chatbots can conduct and analyze A/B tests simultaneously allowing you to make smarter, data-informed choices to help you improve your overall chatbot’s performance.

#5. They help save moneyHiring live agents can get expensive quickly. After all, you have to consider the cost of training, the size of the team, and the number of shifts. Chatbots do require upfront and routine maintenance fees. Yet chatbots can decrease customer service by 30% so you can invest in growing your business instead.:

#6. They help to avoid mistakes. When you hire live agents to handle customer service, you can expect at least a few errors. After all, agents are only human. Chatbots may not be perfect, but they won’t answer questions incorrectly or provide wrong information. That means you can depend on a chatbot to provide accurate information and avoid costly or embarrassing mistakes.

#7. They Do the job of a whole team: If your business gets a lot of customer service requests, you can’t depend on just one agent. Instead, you’d need to hire a whole team to process requests efficiently. When you design a chatbot, you only need one to handle all your customer service requests. That means one chatbot can stand-in for a whole team of frontline agents.

#8. They offer around-the-clock support: When you hire an in-house team or work with a contact center, you have to plan around work hours and shifts. If you want to offer support for 12 hours a day, you might have to plan for two-agent shifts. Since a chatbot is a computer program, it doesn’t have shifts or takes breaks. That means it can communicate with customers 24 hours a day, 365 days a year.

#9. They reduce wait times: Long wait times can cause frustrated customers and lost leads. Because chatbots are always available for frontline customer service, they can reduce wait times drastically. Since over half of customers would rather message a chatbot than call an agent, these programs can also lead to happier customers.

Getting the right chatbot in place will help your business improve its level of service and support, increase sales, and reduce information overload for both staff and customers alike.

How to create and deploy a chatbot

Creating a customer service chatbot requires research, goals, and some technical knowledge. Follow the 14 steps below to create and deploy your own chatbot application:

Step 1. Find the right use case for your chatbot

Chatbots can offer a wide range of solutions, from answering questions to processing payments. But in most cases, you don’t need a chatbot that can do it all. Instead, you need one for specific jobs.

That’s why it’s important to zero in on the right use case before building. Be as specific as possible when narrowing down the potential use cases, or purposes, for your chatbot. Consider the problem you need to solve and quantify it if possible. For example, you might want to assist customers with tracking their orders.

As you brainstorm, keep your brand in mind. For example, your beauty business may want a chatbot that can recommend relevant skin care products to drive more sales and save customers time.

You might be thinking:

This sounds great. But how much will it cost?

Chatbots can cost anywhere from $500 to $2,500 to develop and $100 to $5,000 for monthly support and maintenance. But chatbots can also save your business moneyThat’s why it’s critical to consider the value that a chatbot provides.

To weigh the value, consider the customer service costs you’d have without a chatbot. Then add up how much you’d save if you had a chatbot for a given purpose. Finally, compare the savings with the cost of building a chatbot. You’ve found the right use case when your

Step 2. Set goals for what you want your chatbot to do

After finding the right use case for your chatbot, focus on setting goals. Take a look at some of the most common chatbot goals and adjust them to meet your company’s needs:

#1. Offer complete answers to limited FAQs: If your team constantly answers the same list of questions, you can create a chatbot to field them for you. You might want a chatbot that can give complete answers to two dozen of your FAQs and common follow-up questions.

#2. Answer a wide range of simple questions: If your customer service team spends a lot of time answering basic questions, you may need a chatbot that can handle a much wider range of simple issues. Many chatbots can manage large libraries of data, serving as a sort of encyclopedia for your brand.

#3. Provide 24/7 customer service: Your team may not be able to work around the clock, but a chatbot can. If your customers have questions around the clock, you may need a chatbot that offers support at all hours. You might want a 24/7 chatbot that can offer end-to-end service or one that can answer easy questions before bringing in an expert.

#4. Route questions to live support staff: Just because you’re thinking about hiring support agents doesn’t mean you want them to spend time on basic questions. You may need a chatbot that can ask customers what kind of help they need before routing them to the right person.

#5. Process customer payments: Why hire support agents to handle payments when you can automate the process instead? If you want to let customers buy quickly and easily from your website or mobile app, you may need a chatbot that can process payments and provide receipts.

#6. Respond in multiple languages: If you’re thinking about taking your business global or if you have a multilingual customer base, it’s important to communicate effectively. To make customers feel more comfortable, you may need a chatbot that can understand and respond in a wide range of languages.

#7. Earn customer trust: It doesn’t matter if your company is brand new or if you’ve been in business for years. Converting new customers requires earning trust. To build credibility and win new customers, you may need a chatbot that engages proactively and offers help with common issues.

#8. Give personalized assistance: If your customers often need customized help, you may be able to automate the process. You may need a chatbot that can identify customers, reference past orders and requests, and make personalized suggestions.

Step 3. Identify all required features for your chatbot

Once you’ve found a use case and set a goal for your chatbot, you can identify the features it needs to do its job. Many chatbots require standard features like:

#1. NLP (Natural Language Processing): Almost all chatbots need at least basic NLP. This technology allows chatbots to understand humans. It lets chatbots translate human language to a digital language so they can converse with users.

#2. NLU (Natural Language Understanding): More advanced chatbots often require NLU. This AI technology takes NLP to the next level, allowing chatbots to understand the context, too. With NLU, chatbots can assign more complex meanings to questions and answers.

#3. Machine Learning: If you’re planning to develop a chatbot that provides personalized assistance, machine learning is key. With machine learning, chatbots can do more than just provide programmed answers. Machine learning lets chatbots learn from the data they receive, using it to become smarter and more effective over time.

#4. Omnichannel Capabilities: Some chatbots are designed to work on just one channel, such as your company’s website. Others can work on several channels, such as your website and Facebook Messenger. If your use case involves more than one location, your chatbot needs omnichannel capabilities.

#5. Voice Features: It’s easy to assume that chatbots require users to type questions. Yet many chatbots can process spoken commands. Your chatbot may need voice features if you’re planning to use it on a channel like Google Home or Amazon Alexa.

#6. Webhooks: In many cases, you won’t want to keep the data you collect within your chatbot platform. You may want to link it to other outlets, such as your support app or your payment processing system. When you add webhooks, your chatbot can communicate seamlessly and share information with other apps.

#7. Analytics: Once you get your chatbot up and running, you’ll want to track its performance. After all, you can use these analytics to improve your chatbot over time. Make sure your chatbot offers the metrics you need, such as user engagement, completed purchases, and more.

#8. Branding: Why create a generic chatbot when you can customize it for your company? When you add branding, you can give your chatbot a personality. That can help instill trust and encourage user engagement.

#9. Privacy: Whether you want to create a chatbot that processes payments or one that offers personal assistance, you need your customers to trust it. Including privacy features let you keep personal information secure and helps your chatbot appear more trustworthy.

Step 4. Plan your chatbot structure

Next, think about how your chatbot will look and work. As you draw up a plan, always put your customer’s experience first.

Sure, a chatbot is a computer program, but you want customers to be able to connect with it easily. If your customers feel like they have a relationship with your chatbot, they can trust it — which can lead to better results and more credibility. Use these strategies to structure your chatbot:

Functionality: what exactly do you want the chatbot to do? Does it provide customer service, share information, troubleshoot issues, let people buy products and services, or something else?

Interaction: how will customers interact with the chatbot? Will it be on your website, via SMS or email, or in some other way?

Integration: will the chatbot interact with other platforms? For example, will it use Slack, Facebook Messenger, Zendesk, or any other messaging or customer service apps?

Rules: what do the flow of data and the responses to questions and interactions look like? How can you consider all the eventualities?

Scripting: how do you provide a good conversation flow, approach, and “personality” for your chatbot? What are the various use cases it will be subjected to?

Implementation: what are the best platforms and languages for coding chatbots and how can you implement them into your business operations?

Name your chatbot: Making your chatbot relatable starts with giving it a name. Think about a name that’s relevant to your brand and that would resonate with your customers. Avoid generic labels and think about names that play on your brand identity. Don’t hesitate to use puns, jokes, or names that your ideal customer would appreciate.

Get visual: Next, think about how it should look. For best results, your chatbot should be visually pleasing and easy to use. Consider adding chat bubble graphics for effect and including your brand colors for consistency.

Make it interactive: To increase your chatbot’s chance of success, make it a pleasure — rather than a pain — to use. Think about ways to make your chatbot more interactive and user-friendly, such as allowing customers to type questions or click on prompts.

Consider questions and responses: To interact with customers effectively, your chatbot has to be able to process questions and answers. Start thinking about how your chatbot should understand questions and produce responses so that it meets customer expectations.

Choose the right chatbot architecture: Next, think about how to set up your chatbot so it ensures a positive customer experience. Every chatbot has five key components that shape its overall architecture:

  • Environment: You can host your chatbot in the cloud or with an in-house setup. Cloud-based environments usually come with standard NLP engines from Amazon, Google, or Microsoft. They also tend to have lower price points. In-house chatbot environments are unique to your business and offer more security. They have higher price points, but they’re ideal for chatbots that process private information that you can’t share with third parties.
  • Training: Chatbots can rely on automated or manual training. If you opt for an automated system, you’ll need to provide FAQs, policies, or other documents for your chatbot to learn from. If you train it manually, you’ll need to create a list of questions and answers that your chatbot can draw from.
  • Plugins: If you plan to connect your chatbot to internal systems, you’ll need a program with the right plugins. For example, you might want to link your chatbot to your customer service platform so it can create support tickets.
  • Servers: To do their jobs, chatbots have to connect to both a node server and a traffic server. The node server processes customer requests and lets the chatbot access the right information. The traffic server sends the chatbot’s responses back to the user and any front-end systems.
  • Front-End Systems: Finally, think about how customers will access your chatbot. It may need a slightly different structure if you plan to deploy it in channels like Facebook Messenger or Skype, for example.

Chatbot architecture may sound overly technical, but you need these elements to create the best tool for your business. Freelancers can help you set up the right structure and interface to make your chatbot as user-friendly as possible.

Step 5. Analyze past customer data

After outlining the structure, start thinking about the kinds of conversations users will have with your chatbot. You don’t have to guess topics or create a list from scratch. Instead, you can review data from past customer service tickets to shape your chatbot guide. Follow these steps to make your research process easier:

  • Get customer service data: Start by pulling data from your customer service platform, your customer relationship management system (CRM), or anywhere you store support tickets and information.
  • Find the top topics: Next, divide your customer service issues into 10 to 20 top categories. For example, your categories might include hours, product details, or payment issues. Then tag each ticket with the right category.
  • Identify the main concerns: Use the tags to sort through your customer service data. Make a note of the tags or topics that customers ask about most frequently.
  • Develop your FAQ style: Narrow the topics down further, and identify the most common questions that come up. From here, you can start to develop your FAQ style. Be sure to note the various ways that customers ask the same question. For example, “When do you close today?” and “How late are you open today?” are two ways to ask the same question.

Step 6. Build chat-style FAQs

Once you’ve done your research and identified the issues you want your chatbot to handle, you can build your FAQ database. These FAQs should be based on the customer data you gathered in the previous section. Since you’re building a conversational chatbot, make sure its responses sound natural and engaging. Use these tips to write effective chatbot responses:

  • Use your brand voice: Just because your chatbot is a computer program doesn’t mean it has to sound like one. Instead of creating robotic responses, write answers in your brand voice. Ideally, your chatbot should have the same tone and voice as your website, emails, and social media pages. For example, if your company caters to Generation Z customers and has a fun, whimsical brand voice, so should your chatbot.
  • Write short responses: Your chatbot should be able to carry on a basic conversation. But that doesn’t mean you have to write novel-length responses. Instead, focus on creating short, well-written responses with key information. You can include links for customers to access more detailed information, such as your company’s shipping policy.
  • Be professional: Conversational doesn’t have to equal informal. As you create responses for your chatbot, remember that you’re writing for customers. Maintain a professional and helpful tone. Always use correct grammar, punctuation, and language.
  • Consider the context: If you plan to create a chatbot that can process context, write responses that reference key information. For example, prompt your chatbot to draw on earlier questions or the customer’s past orders. Remember that you want customers to feel confident your chatbot can understand them and make relevant suggestions.
  • Use emotion: Chatbots may not have feelings, but they should be able to respond appropriately when customers express them. After all, an angry customer is likely to feel even more unhappy when talking to a chatbot that just doesn’t get it. Write responses that acknowledge and reflect common emotions like joy, frustration, and confusion.
  • Plan the follow-up: Refer to your past data to find questions that customers often ask in a series. For example, customers might ask about shipping times and then follow up to find out when they’ll receive an order. If your chatbot can predict that a customer is likely to ask that follow-up question, it may be able to answer both at once. After all, offering proactive help and saving time is a great way to make customers happier.

Step 7. Design a smooth conversation flow

So you’ve planned your chatbot structure and created FAQs. But how should the conversation actually look? The next step is designing a smooth conversation flow for your chatbot. Your conversation flow should include everything that your developer needs to set up chatbot prompts. To map out the dialog, create a storyboard for your chatbot:

#1. Welcome

Start with an introduction and a warm welcome. For example, your chatbot might begin with, “Hi! I’m BizBot, Small Business’s virtual assistant.” or “Welcome to Small Business! I’m BizBot.”

#2. Prompt

Chatbots don’t have to wait for customers to interact. Instead, your chatbot can proactively prompt users to ask questions or get help. For example, your chatbot might say something like, “How can I help you today?” or “Are you looking for something specific?” Depending on the channel you use, your chatbot might also offer prewritten prompts that customers can type or click to get more information. For example, your chatbot might suggest that customers type “Apples” or “Oranges” to get prices for popular items.

#3. Answer

Once the user has entered a question or prompt, your chatbot should have a relevant answer. To make your chatbot appear less automated, you can program it with multiple similar answers. Then your chatbot can randomly select one of the available answers. For example, your chatbot might respond either, “We’re open until 8 p.m. today” or “We close at 8 p.m. today and every Saturday” to the same question.

#4. Request

In some cases, your chatbot might not be able to process a customer promptly. Rather than providing no answer, your chatbot can request more information. Again, you can program several ways for your chatbot to ask the same thing so it appears more natural. For example, your chatbot might ask, “Could you rephrase your question?” or “Sorry, I didn’t get that. Could you reword your question?”

#5. Routing

If your chatbot can route customers to support staff, that’s the next step in your dialog flow. During this stage, clearly communicate how the customer can get more help. For example, your chatbot might say, “Please email our sales department at sales@biz.com for a custom quote.” In other cases, it might say, “Please click this link to connect with our support team so we can track down that order for you.”

#6. Follow-up

After answering the initial concern, your chatbot can keep the conversation going. The next step in your storyboard should be a follow-up question or a prompt to interact more. For example, your chatbot might say, “Have you tried our new product line?” or “Please let me know if you have other questions!”

#7. Thanks

Finally, your chatbot can end the conversation on a positive note. After all, you want to make sure customers have the best possible experience. For example, your chatbot might say, “Thanks! Hope to see you at our store soon.” or “Happy shopping!”

Tip: in order to ensure users with a seamless experience plan your conversation flow carefully making sure to design a chatbot able to answer all types of questions from basic “yes and no” till “who, what, why, when and where” type of queries

Step 8. Add integrations

Not all chatbots need integrations to do their jobs. If your chatbot offers general answers to FAQs, you may not have to add integrations.

But if you want your chatbot to provide advanced assistance or personalized support, your chatbot may need access to internal apps or systems. Many advanced chatbots include these common integrations:

Step 9. Design the chatbot icon for your brand

Customers often access chatbots via icons or graphic elements. That means you have another opportunity to make your chatbot visually distinct. Whether you design a cartoon robot or an icon with your logo, make sure it contributes to your chatbot’s unique identity.

To design the best chatbot icon for your brand, hire a UX expert. A knowledgeable developer can ensure that your chatbot logo looks great and works correctly everywhere, from your desktop to your mobile site. Look for a freelance UX expert with these key skills:

  • Collaboration: UX designers never work in a vacuum. They’re key members of a team. Look for an expert who listens carefully to your input, offers thoughtful feedback, and works seamlessly with everyone.
  • Research: When it comes to tech development, the last thing you want is a team member who relies on feelings rather than data. Look for a UX designer who uses research to identify, design, and optimize the best icon for your brand.
  • Empathy: UX experts focus on making digital elements that improve user experiences. That means you need a freelancer who understands customers’ thoughts and who can develop something that appeals to them. Look for a UX developer who can empathize with your customers.
  • Visual communication: When you want a great icon, you need a UX expert who knows basic design concepts like color, layout, and typography. Look for a design pro who understands visual communication.

Step 10. Decide where your chatbot should be live

Chatbots can handle customer service in a wide range of settings. To decide where your chatbot should be live, think about the channels where customers tend to contact your business. Some of the most popular channels for chatbots include:

  • Website: Many companies create chatbots on their websites, where all visitors can easily interact. If you choose this option, think about whether you want customers to access your chatbot throughout your website or on certain pages only.
  • Email: With an email chatbot, you can provide automated support right in customers’ inboxes. Email chatbots make it easy for customers to ask questions and get additional support even after they’ve clicked away from your website.
  • Mobile: If you want to reach customers who aren’t on your website, a mobile carrier channel like SMS or USSD could be a smart option. With a mobile chatbot, customers can send texts to subscribe to services or get answers from your business.
  • Social Networks: Some social media networks, such as Twitter and Instagram, support chatbots on their desktop or mobile apps. With a social channel, you can provide helpful customer service via direct messages.
  • Messaging Apps: If your company offers customer service via messaging apps, you may be able to add a chatbot to these channels, too. Among the most popular messaging apps that support chatbots, just to name a few you have:
  1. Apple Business Chat
  2. Facebook Messenger
  3. Slack
  4. WhatsApp Business
Tip: Make sure that any channel you choose has an open application programming interface (API). This feature lets you embed your chatbot in the channel to offer a seamless experience for users. Check the channel’s FAQs to confirm if it has an open API.

Step 11. Enable the dialog and direct the NLU

Now you’re ready to implement the conversation flow you created and help your chatbot learn the NLU. Consider working with a developer to make this part of the process easier.

  • If you opted for a rule-based chatbotset up the rules for matching user requests with specific intent. For example, your chatbot might identify questions that ask about costs or amounts as requests with a “pricing” intent. Once your chatbot knows the intent, it can follow the rules you set to provide an accurate answer.
  • If you opted for a chatbot based on machine learning, input examples for every possible intent. Provide as many as you can so the program has more opportunities to process and learn from potential questions and answers.

When you set up rules or input examples, use words that your customers would really use. Pull phrases from your customer service records to improve your chatbot’s NLU.

Step 12. Internally test and revise your chatbot

Once you’ve built your chatbot, make sure it works correctly. Rather than letting customers use it right away, ask your team to test it.

Recruit as many test subjects as possible to try out your chatbot. After all, you want to expose your chatbot to as many different types of users and issues as possible. The more tests you run, the easier it is to find and fix problems before customers encounter them.

As you test your chatbot, rely on its analytics to track usage. Survey your test subjects, too. Ask for their satisfaction level and prompt them to recommend ways to improve their experience.

Review the feedback with your team, and identify key revisions to make. For example, you might need to add more rules, improve the dialog flow, or integrate another app.

Step 13. Deploy your chatbot

After testing and revising, you can release your chatbot to a live audience. Just because you launched your chatbot doesn’t mean it’s finished, however. You can always refine your chatbot and improve your results.

Monitor your chatbot metrics closely to gauge customer experience. Many chatbot developers check metrics like:

  • Total users: This number shows all the users that interacted with the chatbot. You can also track new and existing users to see how many customers return to use the chatbot again.
  • Total conversations: This number reveals how many conversations the chatbot completed during a time period. It reflects the number of engaged users.
  • Miss messages: No matter how advanced your dialog flow might be, your chatbot will struggle to answer at least some questions. Track the miss messages to see when and where your chatbot has trouble. Then devise fixes so your chatbot can improve.
  • Goal completion rate: GCR reflects the percentage of goals the chatbot has completed. Depending on the goal you set, your chatbot’s GCR might reveal questions answered, payments processed, or issues routed.
  • Fallback rate: FBR indicates the percentage of time your chatbot fails and a live agent has to take over. A low FBR means your chatbot is effective. A high FBR means your chatbot could benefit from more training, better answers, or a larger FAQ library.
Tip: For the first month after launch, plan to review your chatbot metrics daily so you can catch major mistakes and fix them early on.

Step 14. Refine your chatbot for best results

As you monitor metrics and gauge chatbot performance, take every opportunity to optimize. Set a timeline for refining and revising your chatbot, such as making weekly, monthly, or quarterly updates.

Depending on your data, you might need to make one or more of the following revisions:

  • Change the logic: If your GCR is low, you might need to adjust the logic of your conversational architecture so that it prompts customers in a realistic way.
  • Improve the dialog: If customers don’t respond to your chatbot, you may need to rework the dialog to make it sound more natural or on brand.
  • Increase training: Whether you opted for manual or automatic training, arranging more can help your chatbot learn and improve.
  • Add more use cases: Maybe your FBR is high and you want to route fewer customers to live agents. You may need to add another use case and relevant rules and dialog flow so your chatbot can handle more kinds of issues independently.

Conclusion

When you want to offer effective customer service while controlling your costs, chatbots offer a smart solution. These simple programs can help customers answer their own questions, make purchases, and even access personalized assistance — and you can easily set them up in-house. Since they’re designed to reduce agent workload while saving you money and offering 24/7 support, chatbots are also ideal for boosting your business’s bottom line.

To get your chatbot online quickly, connect with a developer who can design and deploy one for your business. Find an experienced chatbot developer or user interface pro to create your chatbot, and take the first step toward improving your company’s customer service.

Join the discussion on connect.samcx.com

Daniel

Daniel

Contributor @samcx.com. Passionate about everything Sales, Marketing and Account Management.

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