How Does's Machine Learning Engine Deliver Efficiency for Customer Experience Automation Programs?

Post by
Suraj Venkat
How Does's Machine Learning Engine Deliver Efficiency for Customer Experience Automation Programs?

The founders, Robin Purohit and Santhosh Srinivasan have zeroed in on the fact that most technical questions about new products or sites are never answered. However, a more crucial detail you should know is, your customers do not want to speak to a support bot.

The other alternate option that you can implement for your business is a community forum, where the chances of getting better answers are higher, which helps in customer retention. Unfortunately, anyone who has ever used community forums to clear technical queries knows that the information provided isn’t necessarily useful or up to date.

This is where comes into play. It uses advanced NLP and machine learning to enable continuous learning from content, discussions, case management, and product development systems. You can use these fundamentals to design/building and implement AI assistants, intelligent service automation, and collaborative problem-solving workspaces, be it in-house or customer-centric. and its products address the escalating frustration and costs associated with technical issues and seek to intervene in critical junctures. In many such situations, service delivery projects tend to run over the budget, while product teams miss deadlines.

The solution for you is a simple, yet beautiful machine learning engine that diverts the stress away from the actual human experts to provide satisfactory support to your customers. This type of solution removes outdated approaches to training, knowledge transfer, and problem-solving, which in turn helps your company save on precious resources.

Research by Gartner predicts that 85% of all customer interactions will be handled entirely by AI by 2020. AI-backed client-facing automation programs are available on the hour, every hour, along with faster solutions, which can go a long way in reducing customer frustration. These programs allow you better management of your resources with the bonus of the programs getting smarter with time.

The product built by can be used in multiple situations. Responding to support emails can be backed by Artificial Intelligence with a selection of custom responses that will help agents shave off a huge amount of time. Natural language processing (NLP) can be used for interpreting and responding to written and spoken information. AI can also work with human support teams to increase the effectiveness of agents by screening incoming support inquiries and routing the queries to the right agent with the needed knowledge and experience.

There are many more ways in which AI-powered systems can help your support teams with their work more efficiently and in a manner where the customer leaves with their problem solved. As more companies shift to using AI systems for their client-facing issues, the need for customized and relevant systems becomes imperative.

At, you can find solutions to any technical problem or need within a few moments. A single platform houses the best systems, cutting-edge technology products, and services including technical support automation. These systems range from data science needs to remote tools to cybersecurity.

You no longer have to scour the internet or ask for recommendations on the right products for you and your company when you can discover products on a single platform.