3 Key Ways to Build a Conversational AI Platform 


AI is becoming the key application for enterprises to greet the digital world. For example, according to Mckinsey and company, 58% of executives surveyed in 2021 reported that they used AI in at least one business function. This is not surprising as AI bots are already active on every website you visit as a customer, and perhaps this is the only way. Digital market is a playground to meet millions of customer. However, keeping their attention, and doing so as a small, or a mid-sized business is often just a pipedream. On the other hand, AI bots active on Facebook today cater to millions of customers by talking shop about retail, fashion, technology, research, and plenty more. These AI bots entice customers in everything from warm introductions, engaging conversations, and even troubleshooting manuals. Below are 3 key ways for building the next-gen conversational AI platform

Natural Language Processing 

NLP or Natural Language Processing has become the classic benchmark for AI. Today, this benchmark separates the best from the rest in the AI market. It is not surprising to see why. As mentioned earlier, most businesses rely on AI bots to engage consumers. However, if such engagement does not take into account human subtlety, it can quickly disengage consumers. Furthermore, the engagement is also essential in the digital sphere, as each consumer is just a click away from disappearing into the virtual mist. Natural language processing is also essential in technical fields, wherein a miscommunication can result in potentially life-threatening errors. Major companies in the AI business including Google have already demonstrated the subtlety of their AI assistants to carry out complicated tasks including speaking with non-native speakers, understanding the nuances of human conversation, and more. 

Multi-Channel Support 

As AIs quickly become the go-to channel for digital communication, their expensive coding backdoor, and limited compatibility with various platforms remains a key focus of engineers. There are many popular marketing channels available today. These potentially include WhatsApp, Microsoft Teams, which can offer access to millions of potential consumers. These platforms promise a robust ROI for the needs of small-and medium businesses. While, there is very little data in public about the ROI of these channels, these channels can also offer low-cost entry, much needed for SMEs globally. New AI platforms offer ready-made code to integrate multi-channel support for WhatsApp, Messenger, Microsoft Teams, and many others to give a prominent boost to your business. 

Analytics & Insights 

Many businesses may not wish to opt for a marketing route at all through social media. This can be a clever way to go about it. The social media is really the people’s media. Even if businesses gain entry into the space by crook, how successful are they going to be to shove products down people’s throat in the form of direct selling? Moreover, in order to try out such a campaign, you will likely incur major costs just to test the water. 

On the other hand, social media is a great place to observe dynamic trends in the market, understand people’s preference, catch the latest buzz, and simply incorporate these changes in products. Furthermore, the social media can also be a great tool for receiving feedback from consumers. For example, many small town businesses may lack a global perspective. Furthermore, their unique products may be just the thing that can ride the next wave of business opportunity. Hence, in order to achieve this perspective through social media, brands need to listen more to consumers through analytics, and insights. AI conversation tools can make companies aware of their key strengths, key weaknesses, specific demands from consumers, and seasonal changes to demand as well. 

Such information, and lots more can be gained with the help of conversational AI.