botique.ai vs Traditional Chatbot Builders

Rajai Nuseibeh
botique.ai
Published in
3 min readSep 13, 2018

If you’re just like me, running a business, trying to figure out the best ways to engage your customers, grow your brand, increase customers’ satisfaction and at the same time save your customer reps some of the headache and repetitive work; you’d definitely have come across multiple Chatbot solutions “the new hype in the customer service industry”.

From build your own Chatbot platforms to Customized Artificial intelligence solutions, Decision Trees to Natural Language Processing (NLP) and Natural Language Understanding (NLU) algorithms. The more you learn the more you get confused, and like with any service, the fine print at the very end of the service website is what is important to your use case, and which makes or breaks the deal!

I am here today to summarize what I have learned throughout my journey to providing my customers with the best experience I can get while insuring to save up on time and cost.

Chatbot builders

Chatbot Builders are platforms that provide tools to create a Conversational Agent or a “Chatbot”. In order to better understand the difference between all of the platforms out there, I decided to classify them into two main categories; “Visual Chatbot Builders” and “Machine learning NLP Powered engines”.

Visual Chabot builders and Decision Trees

Visual Chabot builders are the easiest to use, using a visual interface to map a step-by-step process to provide your customers with the exact answer. The more specific the inquiry, the more branches will be needed to answer it. Below is a sample design framework for a chatbot.

Sample Design framework of a Chatbot courtesy of Chatbots Magazine

Restricted to building basic flows, they are usually convenient for basic data collection chatbots, marketing stunts, and simple interactions. Using them to build a proper conversational user interface, contextual understanding, or handing out-of-flow sceneries is out of the question!

In addition, completing a decision tree framework could take up days, not taking into consideration the very basic IF-THEN process the Chatbot goes through in every conversation forces the user to go through specific questions that need to follow a defined track or the Chatbot will be unable to answer. Unless you have experience with designing decision trees and you can invest a lot of effort and time into your Chatbot mapping, you can easily end up with a dead-end bot. This will most probably cause more customers to ask for a human agent! hurting engagement rates, and burdening your Agents even more.

What is the solution?

botique.ai is an enterprise platform that will help you create an AI-powered Chatbot/Digital Agent with a very easy, visual interface (click here for more info) with absolutely no coding experience. By using this Platform you can easily import your business content from your Website, Knowledge Base, or other resources, and then deploy your Digital Agent on your website or social media with a single line of code.

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Why use botique.ai Digital Agent solution?

  • botique.ai is the first solution that provides you with the power of AI algorithms with a simple visual interface.
  • botique.ai in-house developed NLP & NLU (Natural Language Understanding) engines are is fully developed to analyze users inquiries, and automatically decide the best match and the course of action to provide the answer. This spares you the mapping of the hideous Decision trees and leaves the AI to botique.ai team who are experts on the matter.
  • botique.ai provides end user with “human-like”, conversational, enterprise-grade AI experience.
  • A complete comprehensive dashboard for managing the agents, and a for understanding user’s behavior. Reporting and Analytics for your R&D and Marketing teams.

If you are looking for a better user experience and engagement, lower bouncing rates and fewer drop-offs while optimizing costs then botique.ai is just the better choice.

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Rajai Nuseibeh
botique.ai

VP of Marketing, former CEO, CoFounder, and Projects Manager with over 13 years of Leading, managing & scaling Technology and Innovation ventures.