Conversational AI – the technology that executes your decisions with no limits

29 September, 2020
Anna

Natural Language – a Universal Means of Communication

AI is designed by humans and can refer to various systems; As a scientific discipline, it includes several approaches and fields, such as machine learning, machine translation, dialogue automatization, image recognition, machine reasoning, etc.

Many of the disciplines mentioned above have similar underlying technologies and Natural Language Processing is one of the most commonly used. The human mind is closely linked with language. Thinking and language are integral elements. Moreover, natural language is a tool of thought. It is a universal means of communication – it is a source for understanding, accumulating, storing, processing, and transmitting the information. Therefore, creating machine-run minds that are able to work with the language and text-related tasks enables incredibly important automation that can bring a huge benefit to humans.

Here, I want to narrow my focus on conversational AI. Automation that is based on big data automates conversation in different communication channels such as email and text messages. At Pulsar AI we work on conversation automation for car dealers, where customers ask specific questions and expect fast and exhaustive answers related to the vehicle buying and selling process.

Why You Should Trust the AI Systems

To decide whether you trust the product that you want to use, you have to understand how AI-based automation works, because this will help you clearly understand why you should trust the AI systems, why you should take advantage of this technology, and reap the outstanding benefits it brings to many of its users already.

Companies have an established vision and practices of how their employees should work, how customers and their inquiries should be treated and processed, and how deals should be closed. We at Pulsar believe that the automation technology should imitate the best and the proven practices of dealers and that the automation that becomes a part of operations should also fit into the company’s vision. This is one of the main reasons we built the product that allows dealers to configure their virtual assistants according to their preferences.

In reality, you are configuring AI based on what you would do if you were handling those conversations – so it learns your decisions and executes them at any scale, with no limits. After it has seen and continues to see vast amounts of data every second, it offers the best practices that are proven by results – to be successful but allows dealers to modify it according to their decisions in case they believe some changes in AI would make it a better fit for their dealership.

We should not forget that modern AI systems solve specific, defined tasks. For example, an AI-powered system designed to play GO will not tell you what the weather will be like tomorrow, or an AI-powered online identity verification system will not be able to have an automated conversation with its customers. In other words, AI software is not like a human who can extrapolate its knowledge and apply its skills to different problems. The AI system imitates a person by being instructed on what to do and how to make decisions.

Scale, speed, consistency, and the ability to take into consideration enormous amounts of data points at every decision are the most significant advantages of conversational AI while having all of these advantages at hand 24/7 and being able to make it work in a way you prefer becomes a great advantage of a dealership. 

“Any sufficiently advanced technology is equivalent to magic.”

-Arthur C. Clarke

Don’t miss out, it is worth spending time on getting to know what technologies are able to help you overcome your company’s current problems – because solving problems with the technology that maximizes revenue, saves costs, and makes you stand out from the competition can be the best decision you can make.

See Pulsar In Action!

When a lead comes in from any source, Pulsar reads the question, generates a response using inventory data and sends it back to the customer.