Custom AI Chatbot! Have you ever been hit with this thought. Today, everybody is talking about making chatbots more powerful with advanced chatbot features and GPT integration. So, to detail this question, do the predetermined chatbot use cases restrict you from thinking big?

For example, your enterprise may restrict with the customer support and sales & marketing use cases. It handles the FAQs, self-help queries, lead information collection and showcasing product information. Let’s dive into the article to explore how to move beyond conversational AI. 

Introduction

Let’s rethink this. How does a Custom AI Chatbot power your chatbot with advanced AI solutions? The idea is to make the chatbot handle human-like operations and create a future-proof conversational AI strategy for your enterprise.

The Global Chatbot Market size is estimated at USD 5.86 billion in 2023. It can reach USD 21.08 billion by 2028, growing at a CAGR of 29.18% during the forecast period (2023-2028) – Markets and Markets.

The chatbot market is accelerating faster than ever. And businesses are adopting it at a higher pace and integrating it with their operations. Customers like to get in touch with a customer support executive immediately. So, chatbots are the best option to shoot quick messages and resolve things faster.

But the million-dollar question is, are the chatbots only restricted as virtual representatives? Or is it anything more? 

Don’t you think it is now the time to make the chatbot more capable rather than a simple conversation starter? Think about making it more proactive in analyzing, judging and detecting things as humans do. 

It will be a supporting hand for your team members to offload some work pressure. You can power up a chatbot as a team member by integrating AI solutions such as deep learning, facial recognition, OCR and advanced analytics. 

So, let’s explore how the custom AI modules will redefine the future of AI chatbots.

Advanced Chatbot Features to Develop Your Custom AI Chatbot

Hello, tech enthusiasts; we trust you are also with us in exploring how to power your bots with Advanced Chatbot features. With the integration of AI features, your bot can handle complex business operations. It’s all about coupling custom AI solutions with underlying NLU models.

Let’s think about how we can move beyond conversational AI solutions to power up your chatbot. Even though conversational AI is great for automating everyday transactional tasks, we can level up your chatbot game by integrating AI technologies such as computer vision, deep learning, and document AI.  

Our mission here is to make the chatbot more operational rather than being chatty. It will make the chatbot more personalized for your brand. Let’s break it down one by one.

Document AI: 

It is a blend of NLP and OCR technology. It will equip the chatbot to extract textual content from scanned docs. So, optimizing the back-end operations will be a boon for your enterprise. You can say goodbye to tedious data entry processes! 

For example, It can play a pivotal role in customer onboarding, where you need to validate the ID card evaluation KYC processes.

Computer Vision + Deep Learning: 

This combination can be a game changer for your enterprise. It will make your chatbot smarter than ever. Imagine a scenario where a user can authorize access to a system or complete a transaction using a facial impression.

It is not limited to access authorization and attendance management. How about leveraging object detection technology? It can enable the chatbots to answer user queries about what’s happening in a video clip.

The possibilities are endless! If you are a retail store owner, Imagine you are querying a CCTV camera to know the total footfall around 3 PM yesterday. 

Using object detection models such as YOLO (You Only Look Once) or Faster R-CNN (Region Convolutional Neural Networks), it can identify objects in each frame and store them in a database. You can connect the database to your chatbot via. API integration. Suppose you use a no-code tool with an inbuilt API integration feature; then no-coding is required.

As a sequel, we will release Advanced chatbot features’ real-world use cases soon! Stay tuned for the same. Now, let’s explore more AI solutions that can push your chatbot beyond being a conversation starter.

Voice AI: 

If you are an enterprise and spending money to manage a call centre to handle customer calls, then Voice AI solutions will help you cut costs.

Voice AI-powered chatbots can handle the initial customer interactions naturally. You may have a thought in your mind now. What is the consistency of the conversation?

Don’t worry; with the generative AI in the mix, voice-enabled bots can easily handle those initial customer chats without getting stumped. 

Advanced Analytics:

Use the conversational UX to get insights quickly if you have a ton of business data rather than skimming through reports.

Plugging in an advanced analytics dashboard to a chatbot will enable them to answer all your queries related to your enterprise data. For example, Imagine a CFO is asking about sales or revenue forecasting-related questions to a chatbot. 

It is an easy way to gain performance insights into an enterprise. Why should somebody traverse through reports to gain insights? If it is voice-enabled, then it is next level. 

The same applies to predictive analytics for manufacturing plants and personalized product recommendations through WhatsApp or Instagram bots for e-commerce store owners.

Besides the industry use cases, advanced analytics integration can also be helpful to level up your chatbot performance. It will be beneficial to analyze how your chatbot is performing.

If you use a no-code chatbot tool, imagine bringing all your chatbot initiatives into it and monitoring each of its performance. It will be a stepping stone for adding conversational AI workbench flair.

Custom Python Code Snippets + NLP: Automate Your Data Collection

Picture a business scenario where you are a retailer needing information on your competitor’s products. Is it time-worthy to visit all the product listing pages and compare the prices? Not at all worthy. 

Instead, prompt your AI chatbot with automation functionality to get the needed content from your competitor’s website. NLP technology and Python scripts will put you in autopilot mode.

Large Language Models (LLMs), LangChain and ChatGPT API: 

This current conversational AI advancement will empower your customer support operations. Using LLMs, LangChain and ChatGPT API, you can train your chatbot with a customized knowledge base. 

LLMs are pre-trained models, right? Yeah, good question. But you can retrain it by adding relevant product/service support documents and customizing the knowledge base. Finally, your chatbot will be capable enough to handle any questions about your business.

In addition, you can forget the coding overhead if you are building a custom AI chatbot using a low-code or no-code chatbot builder tool.

How to Build a Custom AI Chatbot? Integrating AI Solutions to Develop Advanced Chatbot Features.

Alright, you have seen many possible AI solutions to make a custom AI chatbot other than handling straightforward conversations. But the next question would be, how to develop those?

You might have taken a big decision now: a no-code way or a traditional coding route! Anyways, we have done an in-depth analysis of the same. Check out here.

A Recap: No-code Vs Traditional Approach of Coding

Are you thinking of coding a chatbot ground up? Then, be ready to gather a team of mixed skills: NLP, NLU, and NLG engineers, DevOps, Front End and Back End Web Technologies. 

You may need to invest more budget for custom features to hire talent with specific skill sets—for example, Computer vision, Advanced Analytics, and Deep Learning. It’s a massive investment in terms of money and time. 

Now, you may think a no-code chatbot builder will be a super cool option. It will be quick and easy to handle. Also, it will not cost you a fortune. But the powering up a chatbot with custom features is limited by the platform’s capability. 

The no-code approach has its own following set of challenges:

• Limited customization:

  Most entry-level no-code tools offer only a template-driven approach. Some of them provide a drag-and-drop feature, but it will have a restriction with conversation widgets. It is a significant artefact that allows the flexibility of conversation flow design.

• Complex Use Cases: 

  Simple Q&A chatbot? It will be easy for a No-code chatbot builder tool. But if you want to integrate custom AI solutions, it should provide provision to add Python code snippets. Keep an eye out for API integrations as well. 

• Resource Crunch: 

  It truly depends on the complexity of the platform. The learning curve may be too much for some no-code chatbot builder tools. You may need to put more people and money to cover up.

• User Experience: 

  Tweaking the look and feel of the chatbot widget is the key here. It should match your brand guidelines. So, the level of customization of chatbot skin plays a crucial role here.

So, what is the way out? There is nothing to think twice about. It is dependent on the product engineering team’s skill level.

Importance of Product Engineering Team’s Skillset? CreyoFace Difference!

From the above section, we found that how you develop a chatbot with advanced features doesn’t matter. It’s all about onboarding relevant skill sets. 

The advantage of the no-code approach is that you may spend less upfront. To customize the no-code chatbot, you may need to pay only for the additional AI feature modules.

What’s essential here? A skilled product engineering team with a strong portfolio of developing custom AI solutions. So, before onboarding a no-code chatbot or an agency, ensure they have good hands-on experience developing AI solutions. We have prepared a 13-pointer checklist for you to evaluate a chatbot builder tool.  

There are a ton of no-code chatbot tools out there. Most started their AI solution journey by launching a chatbot builder tool. But there’s an interesting fact! Take CreyoFace, for example. 

Before CreyoFace: No-Code chatbot builder tool, we were all developing custom AI solution development. Yes, as an AI as a Service (AIaaS) company – ElkanIO Research Labs.

Our journey began with delivering custom AI solutions, and the following are primary service lines:

• Document AI Solutions to extract content from scanned documents, ID cards, Invoices and other legal documents.
• Access Control and Attendance Management using Facial Recognition.
• Custom Chatbot Development using Azure bot framework, Amazon Lex, DialogFlow, and Raza framework
• Business process automation – Custom AI solutions powered by computer vision, deep learning, and NLP solutions to automate back-office operations.
• Advanced Analytics Solutions – We have developed advanced data analytics solutions like predictive analytics for in-field and off-field sports activities and environmental science companies. 

You might think, What’s the point? Knowing in and out of the AI landscape is the key here. Not only us but if you are choosing a partner to develop a custom chatbot, please check if their expertise is matching with your requirement.

Most of the tools will help you to launch a chatbot fast. But if you think, “I wish my chatbot could do this.” If it is possible with custom AI integration, team CreyoFace will support you. 

As your business scales, you need features more than chat. Let’s empower your chatbot to automate complex business operations and make it a powerhouse!

How are you feeling about your current chatbot? Or do you need any support to revamp your chatbot with custom features? Let’s talk. 

Book a call with us, and we can explore the possibilities together.

Conclusion

As we explored the possibilities of custom AI chatbot development, you might have understood that the future lies in it. Integration of custom AI features will push the chatbot beyond the chat functionalities.

To recap what we have discussed, the extent of customization depends on the expertise of the core product engineering team. It is pivotal in making your bot stand out with custom AI functionalities.

We can dive deep into the real-world examples in the sequel. The forthcoming article will discuss the practical application of a custom AI chatbot across many industries.

Are you still waiting to register with CreyoFace? Please sign up for free and develop your chatbot in a no-code way. Don’t hesitate to drop an email to hello@creyoface.com if you need any further support.