How AI and ML in Chatbots can revolutionize Marketing and Sales?

Just a decade ago, the idea of artificial intelligence was mostly bound to screens and pages of science fiction plots. Today, AI and by extension of Machine Learning are becoming fairly common pieces of technology used by businesses and large companies. Having said that, the power of AI and ML lies in more than just being an autonomous software helping identify insights and answering the question ‘What is the weather like today?’. Its power in marketing is deep and transformative in so many ways. Marketing, whether it be online or offline builds its foundation on customer insights and human behaviour. The better you know your customers, the better you can strike a chord with them that makes them want to purchase your product. But the real game-changer is in using these AI and Machine Learning tools in Chatbots to revolutionize marketing and sales.

AI and ML Chatbots in Sales —

1. Transforming mundane tasks for more productive work One great aspect of AI in Chatbots is that it can perform mundane tasks with ease allowing sales executives to focus on more of the creative, productive work. As it is with most sales teams — they spend a large amount of their time performing repetitive and boring tasks like for instance, creating a leads list or drafting sales goals. Artificial Intelligence Chatbots in that respect can transform the sales sector by taking over the mundane tasks of finding and categorizing leads, monitoring sales data amongst others and the people in the team can focus on better tasks like creating a powerful sales campaign or focus on strategies to conversion rates.

2. Data & Insights Sales is an intuitive domain. Sales executives usually have an idea or insights about what type of customers would be interested to buy their products. This comes from real-world sales experience as well as just looking at customer data. While the first part needs human intervention, the second part can definitely be taken over by AI and ML Chatbots. They are best suited to analyze, interpret, and make sense of data from a variety of perspectives for example by analyzing the buyers’ profile or predict buying patterns.

AI and ML Chatbots in Marketing —

1. A revolutionary tool for personalized marketing AI coupled with ML allows marketers to personalize their communication by sending more than just an email burst or SMS message. Data specific, interest-specific tools are a great way to identify what a customer might be wanting next and be able to intersect right at the point. Furthermore, AI and ML Chatbots in Marketing give a deep view into customers' profiles and these with the help of predictive marketing — something unheard of a decade ago that assists and adds value to organizations to make an informed decision.

2. Generating brand-specific content that appeals to customers There are numerous implications for AI in chatbots who can help in generating brand-specific content marketing and perhaps is one of the most exciting uses of AI. It gives marketers an added edge over their competitors by insights, what people are watching, what they want to watch — over traditional marketing methods and channels. Some examples of use cases of such Chatbots include: Customer Service - Customer’s today are impatient, they want instant answers to instant queries. Chatbots that are powered by AI and ml can automate processes to deliver real-time support and you can also train a chatbot with FAQs In-app support - Today a lot of businesses have their own app and support. To reduce human resource costa and enhance user engagement, AI enables chatbots are growing and their integration with such apps keep customers notified and updates regarding new services, support and feedbacks. Lead generation - As iterated earlier, chatbots can be programmed with a predetermined questionnaire which can be used to target potential customers who click on targetted ads and that sales funnel to the next level.

As our world becomes more digital, Conversational AI-powered chatbots are — bridging the gap between computers and humans. Conversational AI uses machine learning and speech-enabled applications with a set of assisted technologies to offer human-like speech interaction with customers. As more people come online, the way they communicate with computers doesn’t have to always be through commands and codes but will become increasingly simpler like talking to a computer. This technology is assisted by Automatic Speech Recognition (ASR), Natural Language Processing (NLP) that make interactions with a computer like any other human being.

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